Ben Hachey

1.9k total citations
46 papers, 973 citations indexed

About

Ben Hachey is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Ben Hachey has authored 46 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 9 papers in Molecular Biology and 8 papers in Management Science and Operations Research. Recurrent topics in Ben Hachey's work include Topic Modeling (29 papers), Natural Language Processing Techniques (28 papers) and Semantic Web and Ontologies (11 papers). Ben Hachey is often cited by papers focused on Topic Modeling (29 papers), Natural Language Processing Techniques (28 papers) and Semantic Web and Ontologies (11 papers). Ben Hachey collaborates with scholars based in Australia, United Kingdom and United States. Ben Hachey's co-authors include Claire Grover, Joel Nothman, Will Radford, James Curran, Matthew Honnibal, Sarvnaz Karimi, Cécile Paris, Andrew M. Chisholm, Xiang Dai and Rafael A. Calvo and has published in prestigious journals such as Artificial Intelligence, Journal of Biomedical Informatics and The Lancet Digital Health.

In The Last Decade

Ben Hachey

41 papers receiving 866 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ben Hachey Australia	18	758	131	124	118	99	46	973
Jason Wei United States	11	1.1k 1.5×	21 0.2×	37 0.3×	146 1.2×	173 1.7×	16	1.4k
Jinho D. Choi United States	20	993 1.3×	10 0.1×	38 0.3×	49 0.4×	115 1.2×	91	1.2k
Greg Durrett United States	21	1.3k 1.7×	6 0.0×	89 0.7×	37 0.3×	145 1.5×	75	1.6k
G Veena India	11	207 0.3×	20 0.2×	16 0.1×	71 0.6×	75 0.8×	33	402
Shervin Malmasi United States	25	2.4k 3.2×	24 0.2×	70 0.6×	7 0.1×	299 3.0×	82	2.6k
Jason Phang United States	10	556 0.7×	7 0.1×	17 0.1×	89 0.8×	70 0.7×	15	671
Desmond Elliott Denmark	18	815 1.1×	11 0.1×	14 0.1×	33 0.3×	28 0.3×	58	1.2k
Jan Kocoń Poland	12	609 0.8×	10 0.1×	32 0.3×	56 0.5×	61 0.6×	53	822
Adrien Bibal Belgium	9	184 0.2×	23 0.2×	9 0.1×	37 0.3×	33 0.3×	24	329
Matthias Hagen Germany	18	810 1.1×	8 0.1×	57 0.5×	10 0.1×	383 3.9×	105	1.2k

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-authorship network of co-authors of Ben Hachey

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Hachey. A scholar is included among the top collaborators of Ben Hachey 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 Ben Hachey. Ben Hachey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hachey, Ben, et al.. (2025). Aligning AI Research with the Needs of Clinical Coding Workflows: Eight Recommendations Based on US Data Analysis and Critical Review. 909–922.

Douglas, James W., et al.. (2025). Less is More: Explainable and Efficient ICD Code Prediction with Clinical Entities. 30835–30847.

Dai, Xiang, Sarvnaz Karimi, Abeed Sarker, Ben Hachey, & Cécile Paris. (2024). MultiADE: A Multi-domain benchmark for Adverse Drug Event extraction. Journal of Biomedical Informatics. 160. 104744–104744. 2 indexed citations

Hachey, Ben, et al.. (2024). SynD: Australian synthetic health data community of practice. International Journal for Population Data Science. 9(5). 1 indexed citations

Buchlak, Quinlan D., Michael Milne, Jarrel Seah, et al.. (2022). Charting the potential of brain computed tomography deep learning systems. Journal of Clinical Neuroscience. 99. 217–223. 19 indexed citations

Seah, Jarrel, Cyril Tang, Quinlan D. Buchlak, et al.. (2021). Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study. The Lancet Digital Health. 3(8). e496–e506. 128 indexed citations

Dai, Xiang, Sarvnaz Karimi, Ben Hachey, & Cécile Paris. (2020). An Effective Transition-based Model for Discontinuous NER. 5860–5870. 55 indexed citations

Dai, Xiang, Sarvnaz Karimi, Ben Hachey, & Cécile Paris. (2020). Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media. 1675–1681. 26 indexed citations

Han, Bo, et al.. (2017). Post-edit Analysis of Collective Biography Generation. 791–792. 2 indexed citations

10.

Ji, Heng, Joel Nothman, Ben Hachey, & Radu Florian. (2015). Overview of TAC-KBP2015 Tri-lingual Entity Discovery and Linking.. Theory and applications of categories. 55 indexed citations

11.

Radford, Will, Daniel Tse, Joel Nothman, et al.. (2015). The Computable News project. 903–908. 3 indexed citations

12.

Chisholm, Andrew M., et al.. (2015). Hugo. 51–54. 2 indexed citations

13.

Nothman, Joel, Matthew Honnibal, Ben Hachey, & James Curran. (2012). Event Linking: Grounding Event Reference in a News Archive. Meeting of the Association for Computational Linguistics. 228–232. 17 indexed citations

14.

Hachey, Ben, Will Radford, Joel Nothman, Matthew Honnibal, & James Curran. (2012). Evaluating Entity Linking with Wikipedia. Artificial Intelligence. 194. 130–150. 155 indexed citations

15.

Hachey, Ben & James Curran. (2011). Na¨ ive but effective NIL clustering baselines - CMCRC at TAC 2011. Theory and applications of categories. 6 indexed citations

16.

Hachey, Ben, Claire Grover, & Richard Tobin. (2011). Datasets for generic relation extraction. Natural Language Engineering. 18(1). 21–59. 12 indexed citations

17.

Hachey, Ben & Miles Osborne. (2010). Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media. North American Chapter of the Association for Computational Linguistics. 16 indexed citations

18.

Radford, Will, et al.. (2009). Tracking Information Flow in Financial Text. 11–19.

19.

Hachey, Ben, et al.. (2004). Proceeding of the BioCreAtIvE (Critical Assessment of Information Extraction Systems in Biology) Workshop 2004. 2 indexed citations

20.

Hachey, Ben, Huy Nguyen, Malvina Nissim, Beatrice Alex, & Claire Grover. (2004). Grounding Gene Mentions with Respect to Gene Database Identifiers. 5 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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