Publications

On this page, you find our publications relating to recommender systems, machine learning, and other research interests. The publications are sorted by year. You may also browse them by research area.

2022

Wegmeth, Lukas, and Joeran Beel. “CaMeLS: Cooperative Meta-Learning Service for Recommender Systems” Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2022.

Purucker, Lennart, and Joeran Beel. “Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML.” First Conference on Automated Machine Learning (Late-Breaking Workshop). 2022.

2021

Scheidt, Teresa, and Joeran Beel. “Time-dependent Evaluation of Recommender Systems.” In Perspectives on the Evaluation of Recommender Systems Workshop, ACM RecSys Conference, 2021.

Beel, Joeran, and Haley Dixon. “The ‘Unreasonable’ Effectiveness of Graphical User Interfaces for Recommender Systems.” In Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 22–28. New York, NY, USA: Association for Computing Machinery, 2021. https://doi.org/10.1145/3450614.3461682.

Buskulic, Nathan, Edward Bergman, and Joeran Beel. “Online Neural Architecture Search (ONAS): Adapting neural network architecture search in a continuously evolving domain. [Proposal]” (January 2021). osf.io/suqxr.

Al-Rawi, Mohammed, and Joeran Beel. “Probabilistic Color Modelling of Clothing Items.” In Recommender Systems in Fashion and Retail, 2021.

2020

Tyrrell, Bryan, Edward Bergman, Gareth Jones, and Joeran Beel. “Algorithm-Performance Personas‘ for Siamese Meta-Learning and Automated Algorithm Selection.” In Proceedings of the 7th ICML Workshop on Automated Machine Learning, 2020.

Anand, Rohan, and Joeran Beel. “Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization.” In 14th ACM Conference on Recommender Systems (RecSys), 2020. ACM

Gupta, Srijan, and Joeran Beel. “Auto-CaseRec: Automatically Selecting and Optimizing Recommendation-Systems Algorithms.” OSF Preprints DOI:10.31219/osf.io/4znmd, (2020).

Arambakam, Mukesh, and Joeran Beel. “Federated Meta-Learning: Democratizing Algorithm Selection Across Disciplines and Software Libraries.” In 7th ICML Workshop on Automated Machine Learning, 2020.

Beel, Joeran. “Recommender-Systems.Com: A Central Platform for the Recommender-System Community.” In Fourteenth ACM Conference on Recommender Systems, 600–603. RecSys ’20. Virtual Event, Brazil: Association for Computing Machinery, 2020. https://doi.org/10.1145/3383313.3411522. ACM

Beel, Joeran, Bryan Tyrell, Edward Bergman, Andrew Collins, and Shahad Nagoor. “Siamese Meta-Learning and Algorithm Selection with ‘Algorithm-Performance Personas’ [Proposal].” arXiv:2006.12328 [cs.LG] (2020).

Carroll, Oisín, and Joeran Beel. “Finite Group Equivariant Neural Networks for Games” (2020). arXiv: 2009.05027

Collins, Andrew, Laura Tierney, and Joeran Beel. “Per-Instance Algorithm Selection for Recommender Systems via Instance Clustering” (2020). arxiv: 2012.15151

Grennan, Mark, and Joeran Beel. “Synthetic vs. Real Reference Strings for Citation Parsing, and the Importance of Re-training and Out-Of-Sample Data for Meaningful Evaluations: Experiments with GROBID, GIANT and CORA.” In Proceedings of the 8th International Workshop on Mining Scientific Publications, 27–35. Wuhan, China: Association for Computational Linguistics, 2020. https://www.aclweb.org/anthology/2020.wosp-1.4.

Marwah, Divyanshu, and Joeran Beel. “Term-Recency for TF-IDF, BM25 and USE Term Weighting.” In Proceedings of the 8th International Workshop on Mining Scientific Publications, 36–41. Wuhan, China: Association for Computational Linguistics, 2020. https://www.aclweb.org/anthology/2020.wosp-1.5.

Molloy, Paul, Joeran Beel, and Akiko Aizawa. “Virtual Citation Proximity (VCP): Empowering Document Recommender Systems by Learning a Hypothetical In-Text Citation-Proximity Metric for Uncited Documents.” In Proceedings of the 8th International Workshop on Mining Scientific Publications, 1–8. Wuhan, China: Association for Computational Linguistics, 2020. https://www.aclweb.org/anthology/2020.wosp-1.1.

Al-Rawi, Mohammed, and Joeran Beel. “Towards an Interoperable Data Protocol Aimed at Linking the Fashion Industry with AI Companies” (2020). arxiv: 2009.03005

2019

Conor O’Sullivan and Joeran Beel. “Predicting the Outcome of Judicial Decisions made by the European Court of Human Rights.” In 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019.

Dominika Tkaczyk, Andrew Collins, and Joeran Beel. “NaïveRole: Author-Contribution Extraction from Biomedical Publications.” In 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019.

Nicholas Bonello, Joeran Beel, Seamus Lawless, Jeremy Debattista. “Multi-stream Data Analytics for Enhanced Performance Prediction in Fantasy Football”. In 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science. 2019. HTML. arXiv.

Mark Grennan, Martin Schibel, Andrew Collins, and Joeran Beel. “GIANT: The 1-Billion Annotated Synthetic Bibliographic-Reference-String Dataset for Deep Citation Parsing.” In 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 101–112, 2019. HTML Version.

Collier, Mark, and Joeran Beel. “Memory-Augmented Neural Networks for Machine Translation.” In Proceedings of the Machine Translation (MT) Summit, 2019. arXiv, HTML Version.

Hassan, Hebatallah A. Mohamed, Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, and Joeran Beel. “BERT, ELMo, USE and InferSent Sentence Encoders: The Panacea for Research-Paper Recommendation?” In 13th ACM Conference on Recommender Systems (RecSys), 2019.

Tunstead, Keith, and Joeran Beel. “Combating Stagnation in Reinforcement Learning Through ’Guided Learning’ With ’Taught-Response Memory”, 3rd International Tutorial & Workshop on Interactive Adaptive Learning (IAL2019) at the ECML PKDD Conference, 2019.

Joeran Beel, Alan Griffin and Conor O´Shey. “Darwin & Goliath: Recommendations-As-a-Service with Automated Algorithm-Selection and White-Labels.” In Proceedings of the 13th ACM Conference on Recommender Systems (RecSys), 2019.

Collins, Andrew, and Joeran. “Meta-Learning for Scholarly-Article Recommendation.” In ComplexRecs Workshop at the 13th ACM Conference on Recommender Systems (RecSys), 2019.

Philipp Scharpf, Ian Mackerracher, Moritz Schubotz, Joeran Beel, Corinna Breitinger, and Bela Gipp. “AnnoMathTeX – a Formula Annotation Recommender System for STEM Documents.” In Proceedings of the 13th ACM Conference on Recommender Systems (RecSys), 2019.

Beel, Joeran, and Victor Brunel. “Data Pruning in Recommender Systems Research: Best-Practice or Malpractice?” In 13th ACM Conference on Recommender Systems (RecSys), 2019. HTML Version

Edenhofer, Gordian, Andrew Collins, Akiko Aizawa, and Joeran Beel. “Augmenting the DonorsChoose.org Corpus for Meta-Learning.” In Proceedings of The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR), 32–38. CEUR-WS, 2019.

Beierle, Felix, Akiko Aizawa, Andrew Collins, and Joeran Beel. “Choice Overload and Recommendation Effectiveness in Research-Paper Recommender Systems.” International Journal of Digital Libraries (2019).

Collins, Andrew, and Joeran Beel. “Document Embeddings vs. Keyphrases vs. Terms for Recommender Systems: A Large-Scale Online Evaluation in Digital Libraries.” In Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 2019. HTML. arXiv.

Beel, Joeran, and Lars Kotthoff. “Preface: The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR).” In Proceedings of The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR), 1–9, 2019. AMIR Proceedings.

Beel, Joeran, Barry Smyth, and Andrew Collins. “RARD II: The 94 Million Related-Article Recommendation Dataset.” In Proceedings of the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR), 39–55. CEUR-WS, 2019.

Beel, Joeran, Andrew Collins, Oliver Kopp, Linus W Dietz, and Petr Knoth. “Online Evaluations for Everyone: Mr. DLib’s Living Lab for Scholarly Recommendations.” In Proceedings of the 41st European Conference on Information Retrieval (ECIR), edited by Leif Azzopardi, Benno Stein, and Norbert Fuhr, Philipp Mayr, Claudia Hauff, and Djoerd Hiemstra, 11438:213–219. Lecture Notes in Computer Science, 2019. Pre-print on arXiv. HTML.

Beel, Joeran, and Lars Kotthoff. “Proposal for the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR).” In Proceedings of the 41st European Conference on Information Retrieval (ECIR), edited by L. Azzopardi, B. Stein, N. Fuhr, P. Mayr, C. Hauff, and D. Hiemstra, 11438:383–388. Lecture Notes in Computer Science book series (LNCS). Springer, 2019.

Beel, Joeran. “Federated Meta-Learning: Democratizing Algorithm Selection Across Disciplines and Software Libraries (Proposal).” ResearchGate (2019). DOI: 10.13140/RG.2.2.25744.35844

2018

Mark Collier and Joeran Beel, “Implementing Neural Turing Machines,” in 27th International Conference on Artificial Neural Networks (ICANN), ed. Vera Krurková et al., Lecture Notes in Computer Science (Cham: Springer International Publishing, 2018), 94–104. arXiv. Best Paper Award.

Dominika Tkaczyk, Paraic Sheridan, and Joeran Beel, “ParsRec: A Meta-Learning Recommender System for Bibliographic Reference Parsing Tools,” in Proceedings of the 12th ACM Conference on Recommender Systems (RecSys), 2018. arXiv.

Joeran Beel, Andrew Collins, and Akiko Aizawa, “The Architecture of Mr. DLib’s Scientific Recommender-System API,” in Proceedings of the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), 2018, 78–89. arXiv. HTML.

Dominika Tkaczyk, Rohit Gupta, Riccardo Cinti and Joeran Beel, “ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers,” in Proceedings of the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), vol. 5, 2018, 162–173. arXiv.

Rob Brennan, Joeran Beel, Ruth Byrne and Jeremy Debattista, “Preface: The 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2018),” in Proceedings of the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), 2018, 1–7.

Mark Collier and Joeran Beel, “An Empirical Comparison of Syllabuses for Curriculum Learning,” in Proceedings of the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), 2018, 150–161. arxiv.

Andrew Collins, Dominika Tkaczyk, and Joeran Beel, “A Novel Approach to Recommendation Algorithm Selection using Meta-Learning,” in Proceedings of the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), 2018, 210–219. arXiv.

Andrew Collins, Dominika Tkaczyk, Akiko Aizawa, and Joeran Beel. “Position Bias in Recommender Systems for Digital Libraries.” iConference 2018.  p. 335-344. Springer’s Lecture Notes in Computer Science. arXiv preprint.

Dominika Tkaczyk, Andrew Collins, Paraic Sheridan and Joeran Beel. “Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers.” ACM Joint Conference on Digital Libraries (JCDL). 2018. arXiv preprint.

Dominika Tkaczyk, Andrew Collins and Joeran Beel. “Who Did What? Identifying Author Contributions in Biomedical Publications using Naïve Bayes.”  ACM Joint Conference on Digital Libraries (JCDL). 2018. arXiv preprint.

2017

Beel, Joeran, Zeljko Carevic, Johann Schaible, and Gabor Neusch. “RARD: The Related-Article Recommendation Dataset.” D-Lib Magazine 23, no. 7/8 (July 2017): 1–14.

Beel, Joeran, Bela Gipp, and Akiko Aizawa. “Mr. DLib: Recommendations-as-a-Service (RaaS) for Academia.” In Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 2017.

Beel, Joeran. “Virtual Citation Proximity (VCP): Calculating Co-Citation-Proximity-Based Document Relatedness for Uncited Documents with Machine Learning [Proposal],” ResearchGate (2017). DOI: 10.13140/RG.2.2.18759.39842

Beel, Joeran. “Real-World Recommender Systems for Academia: The Gain and Pain in Developing, Operating, and Researching them.” In 5th International Workshop on Bibliometric-enhanced Information Retrieval (BIR) at the 39th European Conference on Information Retrieval (ECIR), 2017. [short version, official], [long version, arxiv]

Joeran Beel. “It’s Time to Consider “Time” when Evaluating Recommender-System Algorithms [Proposal].” arXiv. 2018

Gipp, Bela, Corinna Breitinger, Norman Meuschke, and Joeran Beel. “CryptSubmit: Introducing Securely Timestamped Manuscript Submission and Peer Review Feedback using the Blockchain.” In Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 2017.

Beierle, Felix, Akiko Aizawa, and Joeran Beel. “Exploring Choice Overload in Related-Article Recommendations in Digital Libraries.” In 5th International Workshop on Bibliometric-enhanced Information Retrieval (BIR) at the 39th European Conference on Information Retrieval (ECIR), 2017.

Siebert, Sophie, Siddarth Dinesh, and Stefan Feyer. “Extending a Research Paper Recommendation System with Bibliometric Measures.” In 5th International Workshop on Bibliometric-enhanced Information Retrieval (BIR) at the 39th European Conference on Information Retrieval (ECIR), 2017.

Langer, Stefan, and Joeran Beel. “Apache Lucene as Content-Based-Filtering Recommender System: 3 Lessons Learned.” In 5th International Workshop on Bibliometric-enhanced Information Retrieval (BIR) at the 39th European Conference on Information Retrieval (ECIR), 2017.

Beel, Joeran, Corinna Breitinger, and Stefan Langer. “Evaluating the CC-IDF citation-weighting scheme: How effectively can ‘Inverse Document Frequency’ (IDF) be applied to references?” In Proceedings of the 12th iConference. 2017.

Beel, Joeran, Stefan Langer, and Bela Gipp. “TF-IDuF: A Novel Term-Weighting Scheme for User Modeling based on Users’ Personal Document Collections.” In Proceedings of the 12th iConference. 2017.

Gipp, Bela, Norman Meuschke, Joeran Beel, and Corinna Breitinger. “Using the Blockchain of Cryptocurrencies for Timestamping Digital Cultural Heritage”. Bulletin of IEEE Technical Committee on Digital Libraries (TCDL). 2017.

Beel, Joeran, Siddharth Dinesh, Philipp Mayr, Zeljko Carevic, and Jain Raghvendra. “Stereotype and Most-Popular Recommendations in the Digital Library Sowiport” In Proceedings of the 15th International Symposium of Information Science. 2017.

Feyer, Stefan, Sophie Siebert, Bela Gipp, Akiko Aizawa, and Joeran Beel. “Integration of the Scientific Recommender System Mr. DLib into the Reference Manager JabRef”. In Proceedings of the 39th European Conference on Information Retrieval (ECIR). 2017.

2016

Beel, Joeran, Corinna Breitinger, Stefan Langer, Andreas Lommatzsch, and Bela Gipp. Towards Reproducibility in Recommender-Systems Research. User Modeling and User-Adapted Interaction (UMUAI) 26, no. 1 (2016): 69–101. DOI: http://dx.doi.org/10.1007/s11257-016-9174-x

Beel, Joeran, Bela Gipp, Stefan Langer, and Corinna Breitinger. “Research Paper Recommender Systems: A Literature Survey.” International Journal on Digital Libraries (2015):1–34. doi:10.1007/s00799-015-0156-0. 2016. Open Access https://rdcu.be/5qT7

Weiler, Andreas and Beel, Joeran and Gipp, Bela and Grossniklaus, Michael. 2016. Stability Evaluation of Event Detection Techniques for Twitter. Proceedings of the 15th International Symposium on Intelligent Data Analysis (IDA’16), Lecture Notes in Computer Science (LNCS), 368–380, doi://10.1007/978-3-319-46349-0.

2015

Beel, Joeran, and Stefan Langer. “A Comparison of Offline Evaluations, Online Evaluations, and User Studies in the Context of Research-Paper Recommender Systems.” In Proceedings of the 19th International Conference on Theory and Practice of Digital Libraries (TPDL), edited by Sarantos Kapidakis, Cezary Mazurek, and Marcin Werla, 9316:153–168. Lecture Notes in Computer Science, 2015.

Beel, Joeran, Stefan Langer, Georgia M. Kapitsaki, Corinna Breitinger, and Bela Gipp. “Exploring the Potential of User Modeling based on Mind Maps.” In Proceedings of the 23rd Conference on User Modelling, Adaptation and Personalization (UMAP). Lecture Notes of Computer Science. Springer, 2015.

Beel, Joeran. “Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps.” PhD thesis. Otto-von-Guericke University Magdeburg, March 2015.

2014

Langer, Stefan, Joeran Beel. “The Comparability of Recommender System Evaluations and Characteristics of Docear’s Users.” In Proceedings of the Workshop on Recommender Systems Evaluation: Dimensions and Design (REDD), at the ACM Recommender Systems Conference (RecSys). 2014.

Beel, Joeran, Stefan Langer, Bela Gipp, Andreas Nürnberger. “The Architecture and Datasets of Docear’s Research Paper Recommender System.” D-Lib Magazine – The Magazine of Digital Library Research, vol. 20, 11/12, 2014.

Beel, Joeran, Stefan Langer, Marcel Genzmehr, Bela Gipp. “Utilizing Mind-Maps for Information Retrieval and User Modelling.” In Proceedings of the 22nd Conference on User Modelling, Adaption, and Personalization (UMAP). Springer, 2014.

2013

Beel, Joeran, Stefan Langer, Marcel Genzmehr, Bela Gipp, Corinna Breitinger, and Andreas Nürnberger. “Research Paper Recommender System Evaluation: A Quantitative Literature Survey.” In Proceedings of the Workshop on Reproducibility and Replication in Recommender Systems Evaluation (RepSys) at the ACM Recommender System Conference (RecSys). ACM International Conference Proceedings Series (ICPS), 2013.

Beel, Joeran, Stefan Langer, Marcel Genzmehr, Bela Gipp, and Andreas Nürnberger. “A Comparative Analysis of Offline and Online Evaluations and Discussion of Research Paper Recommender System Evaluation.” In Proceedings of the Workshop on Reproducibility and Replication in Recommender Systems Evaluation (RepSys) at the ACM Recommender System Conference (RecSys). ACM International Conference Proceedings Series (ICPS), 2013.

Beel, Joeran, Stefan Langer, Marcel Genzmehr, and Andreas Nürnberger. “Introducing Docear’s Research Paper Recommender System.” In Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL’13), 459–460. ACM, 2013.

Beel, Joeran, Stefan Langer, Marcel Genzmehr, and Andreas Nürnberger. “Persistence in Recommender Systems: Giving the Same Recommendations to the Same Users Multiple Times.” In Proceedings of the 17th International Conference on Theory and Practice of Digital Libraries (TPDL 2013), edited by Trond Aalberg, Milena Dobreva, Christos Papatheodorou, Giannis Tsakonas, and Charles Farrugia, 8092:390–394. Lecture Notes of Computer Science (LNCS). Valletta, Malta: Springer, 2013.

Beel, Joeran, Stefan Langer, Andreas Nürnberger, and Marcel Genzmehr. “The Impact of Demographics (Age and Gender) and Other User Characteristics on Evaluating Recommender Systems.” In Proceedings of the 17th International Conference on Theory and Practice of Digital Libraries (TPDL 2013), edited by Trond Aalberg, Milena Dobreva, Christos Papatheodorou, Giannis Tsakonas, and Charles Farrugia, 400–404. Valletta, Malta: Springer, 2013.

Beel, Joeran, Stefan Langer, and Marcel Genzmehr. “Docear4Word: Reference Management for Microsoft Word based on BibTeX and the Citation Style Language (CSL).” In Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL’13), 445–446. ACM, 2013.

Beel, Joeran, Stefan Langer, Marcel Genzmehr, and Christoph Müller. “Docears PDF Inspector: Title Extraction from PDF files.” In Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL’13), 443–444. ACM, 2013.

Beel, Joeran, Stefan Langer, and Marcel Genzmehr. “Sponsored Vs. Organic (Research Paper) Recommendations and the Impact of Labeling.” In Proceedings of the 17th International Conference on Theory and Practice of Digital Libraries (TPDL 2013), edited by Trond Aalberg, Milena Dobreva, Christos Papatheodorou, Giannis Tsakonas, and Charles Farrugia, 395–399. Valletta, Malta, 2013.

Lipinski, Mario, Kevin Yao, Joeran Beel, and Bela Gipp. “Evaluation of Header Metadata Extraction Approaches and Tools for Scientific PDF Documents.” In Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries (JCDL’13), 385–386, 2013.

2011

Joeran Beel, Bela Gipp, Stefan Langer, and Marcel Genzmehr. “Docear: An Academic Literature Suite for Searching, Organizing and Creating Academic Literature.” In Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries, JCDL ’11, pages 465–466, New York, NY, USA, 2011. ACM.

Joeran Beel and Stefan Langer. “An Exploratory Analysis of Mind Maps.” In Proceedings of the 11th ACM Symposium on Document Engineering (DocEng’11), Mountain View, California, USA, pages 81-84 2011. ACM.

Bela Gipp, Norman Meuschke, and Joeran Beel. “Comparative Evaluation of Text- and Citation-based Plagiarism Detection Approaches using GuttenPlag.” In Proceedings of 11th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL’11), pages 255–258, Ottawa, Canada, June 2011. ACM.

Joeran Beel, Bela Gipp, Stefan Langer, Marcel Genzmehr, Erik Wilde, Andreas Nürnberger, and Jim Pitman. “Introducing Mr. DLib, a Machine-readable Digital Library.” In Proceedings of the 11th ACM/IEEE Joint Conference on Digital Libraries (JCDL‘11), 2011. ACM.

2010

Joeran Beel, Bela Gipp, and Erik Wilde. “Academic Search Engine Optimization (ASEO): Optimizing Scholarly Literature for Google Scholar and Co.” Journal of Scholarly Publishing, 41 (2): 176–190, January 2010. University of Toronto Press.

Bela Gipp and Joeran Beel. “Citation Based Plagiarism Detection – A New Approach to Identify Plagiarized Work Language Independently.” In Proceedings of the 21st ACM Conference on Hyptertext and Hypermedia (HT’10), pages 273–274, New York, NY, USA, June 2010. ACM.

Joeran Beel, Bela Gipp, Ammar Shaker, and Nick Friedrich. “SciPlore Xtract: Extracting Titles from Scientific PDF Documents by Analyzing Style Information (Font Size).” In M. Lalmas, J. Jose, A. Rauber, F. Sebastiani, and I. Frommholz, editors, Research and Advanced Technology for Digital Libraries, Proceedings of the 14th European Conference on Digital Libraries (ECDL’10), volume 6273 of Lecture Notes of Computer Science (LNCS), pages 413–416, Glasgow (UK), September 2010. Springer.

Bela Gipp, Adriana Taylor, and Joeran Beel. “Link Proximity Analysis – Clustering Websites by Examining Link Proximity.” In M. Lalmas, J. Jose, A. Rauber, F. Sebastiani, and I. Frommholz, editors, Proceedings of the 14th European Conference on Digital Libraries (ECDL’10): Research and Advanced Technology for Digital Libraries, volume 6273 of Lecture Notes of Computer Science (LNCS), pages 449–452, September 2010. Springer.

Joeran Beel and Bela Gipp.“On the Robustness of Google Scholar Against Spam.” In Proceedings of the 21st ACM Conference on Hyptertext and Hypermedia (HT’10), pages 297–298, Toronto (CA), June 2010. ACM.

Joeran Beel and Bela Gipp. “Enhancing Information Search by Utilizing Mind Maps.” In Proceedings of the 21st ACM Conference on Hyptertext and Hypermedia (HT’10), pages 303–304, Toronto (CA), June 2010. ACM.

Joeran Beel and Bela Gipp. “Academic search engine spam and Google Scholar’s resilience against it.” Journal of Electronic Publishing, 13 (3), December 2010.

2009

Bela Gipp and Joeran Beel. “Citation Proximity Analysis (CPA) – A new approach for identifying related work based on Co-Citation Analysis.” In Birger Larsen and Jacqueline Leta, editors, Proceedings of the 12th International Conference on Scientometrics and Informetrics (ISSI’09), volume 2, pages 571–575, Rio de Janeiro (Brazil), July 2009. International Society for Scientometrics and Informetrics.

Joeran Beel and Bela Gipp. “Google Scholar’s Ranking Algorithm: The Impact of Citation Counts (An Empirical Study). In Andre Flory and Martine Collard, editors, Proceedings of the 3rd IEEE International Conference on Research Challenges in Information Science (RCIS’09), pages 439–446, Fez (Morocco), April 2009. IEEE.

Joeran Beel and Bela Gipp. “Google Scholar’s Ranking Algorithm: An Introductory Overview.” In Birger Larsen and Jacqueline Leta, editors, Proceedings of the 12th International Conference on Scientometrics and Informetrics (ISSI’09), volume 1, pages 230–241, Rio de Janeiro (Brazil), July 2009. International Society for Scientometrics and Informetrics. ISSN 2175-1935.

Joeran Beel, Bela Gipp, and Jan-Olaf Stiller. “Information Retrieval on Mind Maps – What could it be good for?”In Proceedings of the 5th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom’09), pages 1–4, Washington (USA), November 2009. IEEE.

Joeran Beel and Bela Gipp. “Google Scholar’s Ranking Algorithm: The Impact of Articles’ Age (An Empirical Study).” In Shahram Latifi, editor, Proceedings of the 6th International Conference on Information Technology: New Generations (ITNG’09), pages 160–164, Las Vegas (USA), April 2009. IEEE.

Joeran Beel, Bela Gipp, and Christoph Mueller. “’SciPlore MindMapping’ – A Tool for Creating Mind Maps Combined with PDF and Reference Management.” D-Lib Magazine, 15 (11), November 2009. Brief Online Article.

2008

Joeran Beel and Bela Gipp. “The Potential of Collaborative Document Evaluation for Science.” In George Buchanan, Masood Masoodian, and Sally Jo Cunningham, editors, 11th International Conference on Asia-Pacific Digital Libraries (ICADL’08) Proceedings, volume 5362 of Lecture Notes in Computer Science (LNCS), pages 375–378, Heidelberg (Germany), December 2008. Springer.

Joeran Beel and Bela Gipp. “Collaborative Document Evaluation: An Alternative Approach to Classic Peer Review.” In Proceedings of the 5th International Conference on Digital Libraries (ICDL’08), volume 31, pages 410–413, Vienna (Austria), August 2008. ISSN 1307-6884.