Mark Hepple

1.9k total citations
62 papers, 1.1k citations indexed

About

Mark Hepple is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Mark Hepple has authored 62 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 9 papers in Molecular Biology and 9 papers in Computational Theory and Mathematics. Recurrent topics in Mark Hepple's work include Natural Language Processing Techniques (45 papers), Topic Modeling (30 papers) and Semantic Web and Ontologies (15 papers). Mark Hepple is often cited by papers focused on Natural Language Processing Techniques (45 papers), Topic Modeling (30 papers) and Semantic Web and Ontologies (15 papers). Mark Hepple collaborates with scholars based in United Kingdom, United States and Nigeria. Mark Hepple's co-authors include Robert Gaizauskas, Angus Roberts, Marc Verhagen, Frank Schilder, James Pustejovsky, Yikun Guo, Andrea Setzer, Graham Katz, Ian Roberts and George Demetriou and has published in prestigious journals such as BMC Bioinformatics, Information Processing & Management and Journal of Biomedical Informatics.

In The Last Decade

Mark Hepple

58 papers receiving 931 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Hepple United Kingdom 16 943 312 98 67 59 62 1.1k
Andrea Setzer United Kingdom 10 750 0.8× 254 0.8× 76 0.8× 23 0.3× 95 1.6× 14 879
José M. Castaño United States 6 639 0.7× 271 0.9× 64 0.7× 22 0.3× 77 1.3× 21 738
Yusuke Miyao Japan 27 2.5k 2.7× 858 2.8× 175 1.8× 106 1.6× 43 0.7× 177 2.8k
Marc Verhagen United States 17 1.6k 1.6× 371 1.2× 138 1.4× 14 0.2× 213 3.6× 41 1.7k
Tomoko Ohkuma Japan 15 550 0.6× 172 0.6× 117 1.2× 34 0.5× 19 0.3× 53 750
Graham Katz United States 12 904 1.0× 113 0.4× 89 0.9× 13 0.2× 125 2.1× 32 1.0k
Anni Coden United States 12 569 0.6× 295 0.9× 127 1.3× 17 0.3× 33 0.6× 25 694
Robert Ingria United States 12 1.1k 1.1× 81 0.3× 95 1.0× 23 0.3× 96 1.6× 29 1.1k
Dekai Wu Hong Kong 23 2.4k 2.5× 157 0.5× 110 1.1× 95 1.4× 41 0.7× 123 2.4k
François Yvon France 18 1.3k 1.4× 68 0.2× 100 1.0× 26 0.4× 123 2.1× 130 1.4k

Countries citing papers authored by Mark Hepple

Since Specialization
Citations

This map shows the geographic impact of Mark Hepple's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Hepple with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Hepple more than expected).

Fields of papers citing papers by Mark Hepple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Hepple. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Hepple. The network helps show where Mark Hepple may publish in the future.

Co-authorship network of co-authors of Mark Hepple

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Hepple. A scholar is included among the top collaborators of Mark Hepple based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Hepple. Mark Hepple is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ezeani, Ignatius, et al.. (2018). Transferred Embeddings for Igbo Similarity, Analogy, and Diacritic Restoration Tasks. Lancaster EPrints (Lancaster University). 30–38. 5 indexed citations
2.
Srijith, P. K., Mark Hepple, Kalina Bontcheva, & Daniel Preoțiuc-Pietro. (2016). Sub-story detection in Twitter with hierarchical Dirichlet processes. Information Processing & Management. 53(4). 989–1003. 36 indexed citations
3.
Preoțiuc-Pietro, Daniel, P. K. Srijith, Mark Hepple, & Trevor Cohn. (2016). Studying the temporal dynamics of word co-occurrences: An application to event detection. Language Resources and Evaluation. 4380–4387. 5 indexed citations
4.
Barker, Emma, Monica Lestari Paramita, Adam Funk, et al.. (2016). What's the issue here?: Task-based evaluation of reader comment summarization systems. Language Resources and Evaluation. 3094–3101. 3 indexed citations
5.
Bontcheva, Kalina, et al.. (2013). Reliably Evaluating Summaries of Twitter Timelines. National Conference on Artificial Intelligence. 7 indexed citations
6.
Guthrie, David & Mark Hepple. (2010). Storing the Web in Memory: Space Efficient Language Models with Constant Time Retrieval. Empirical Methods in Natural Language Processing. 262–272. 19 indexed citations
7.
Hepple, Mark, et al.. (2010). Evaluating Lexical Substitution: Analysis and New Measures.. Language Resources and Evaluation. 1 indexed citations
8.
Guthrie, David, Mark Hepple, & Wei Liu. (2010). Efficient Minimal Perfect Hash Language Models. Language Resources and Evaluation. 5 indexed citations
9.
Hepple, Mark, et al.. (2010). Evaluation Metrics for the Lexical Substitution Task. North American Chapter of the Association for Computational Linguistics. 22(13). 289–292. 2 indexed citations
10.
Roberts, Angus, Robert Gaizauskas, Mark Hepple, et al.. (2009). Building a semantically annotated corpus of clinical texts. Journal of Biomedical Informatics. 42(5). 950–966. 112 indexed citations
11.
Webb, Nick, Ting Liu, Mark Hepple, & Yorick Wilks. (2008). Cross-Domain Dialogue Act Tagging. Language Resources and Evaluation. 5 indexed citations
12.
Roberts, Angus, Robert Gaizauskas, Mark Hepple, & Yikun Guo. (2008). Combining Terminology Resources and Statistical Methods for Entity Recognition: an Evaluation. Language Resources and Evaluation. 26 indexed citations
13.
Gaizauskas, Robert, et al.. (2005). The University of Sheffield's TREC 2005 Q&A Experiments.. Text REtrieval Conference. 782–790. 19 indexed citations
14.
Harkema, Henk, Robert Gaizauskas, Mark Hepple, et al.. (2004). A Large-Scale Resource for Storing and Recognizing Technical Terminology.. Language Resources and Evaluation. 4 indexed citations
15.
Harkema, Henk, Robert Gaizauskas, Mark Hepple, et al.. (2004). A Large Scale Terminology Resource for Biomedical Text Processing. North American Chapter of the Association for Computational Linguistics. 53–60. 14 indexed citations
16.
Hepple, Mark & Josef van Genabith. (2000). Experiments in Structure Preserving Grammar Compaction. Arrow@dit (Dublin Institute of Technology). 4 indexed citations
17.
Humphreys, Kevin, Robert Gaizauskas, Mark Hepple, & Mark Sanderson. (1999). University of Sheffield TREC-8 Q & A System. Text REtrieval Conference. 9 indexed citations
18.
Gaizauskas, Robert, Mark Hepple, & Christian Huyck. (1998). A scheme for comparative evaluation of diverse parsing systems. Language Resources and Evaluation. 143–152. 10 indexed citations
19.
Gaizauskas, Robert, Mark Hepple, & Christian Huyck. (1998). Modifying Existing Annotated Corpora for General Comparative Evaluation of Parsing. 2 indexed citations
20.
Hepple, Mark. (1997). Maximal incrementality in linear categorial deduction. 344–351. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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