Ben Hachey

1.9k citations
46 papers · 973 · h-index 18

Impact in

Papers in

    • Topic Modeling 29
    • Natural Language Processing Techniques 28
    • Semantic Web and Ontologies 11
    • Advanced Text Analysis Techniques 4
    • Machine Learning in Healthcare 3
    • Biomedical Text Mining and Ontologies 9

Ben Hachey

41 papers receiving 866 citations

Peers

Ben Hachey
Comparison fields: 5 of 89
  • Health Informatics 61
  • Artificial Intelligence 758
  • Management Science and Operations Research 124
  • Political Science and International Relations 131
  • Radiology, Nuclear Medicine and Imaging 118
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Citations per field
00.5×6.4×
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Citations per year

Countries citing papers authored by Ben Hachey

Since Specialization
Citations

This map shows the geographic impact of Ben Hachey'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 Ben Hachey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Hachey more than expected).

Fields of papers citing papers by Ben Hachey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben Hachey. 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 Ben Hachey. The network helps show where Ben Hachey may publish in the future.

Co-authors

The 25 scholars most cited alongside Ben Hachey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ben Hachey Line = papers co-authored together Ben Hachey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012155
2 2021128
3 200789
4 201660
5 202055
6
Overview of TAC-KBP2015 Tri-lingual Entity Discovery and Linking.
201555
7 201546
8 200333
9 200532
10 202026
11 201424
12 201922
13 200521
14
A Rhetorical Status Classifier for Legal Text Summarisation
200420
15 200320
16 202219
17 202119
18
Event Linking: Grounding Event Reference in a News Archive
201217
19
Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media
201016
20 200515

About Ben Hachey

Ben Hachey is a scholar working on Artificial Intelligence, Molecular Biology, Management Science and Operations Research, Political Science and International Relations and Information Systems, having authored 46 papers that have together received 973 indexed citations. Recurring topics across this work include Topic Modeling (29 papers), Natural Language Processing Techniques (28 papers), Semantic Web and Ontologies (11 papers), Biomedical Text Mining and Ontologies (9 papers), Data Quality and Management (7 papers), Artificial Intelligence in Law (6 papers), Advanced Text Analysis Techniques (4 papers) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Health Informatics (61 citations), Artificial Intelligence (758 citations), Management Science and Operations Research (124 citations), Political Science and International Relations (131 citations) and Radiology, Nuclear Medicine and Imaging (118 citations). Ben Hachey has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Claire Grover, Joel Nothman, Will Radford, James Curran, Matthew Honnibal, Sarvnaz Karimi, Xiang Dai, Andrew M. Chisholm, Cécile Paris and Rafael A. Calvo. Their work appears in journals such as Theory and applications of categories, Artificial Intelligence, Artificial Intelligence and Law, Natural Language Engineering and Transactions of the Association for Computational Linguistics.

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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