Arman Cohan

5.5k citations
84 papers · 2.5k · 1 hit paper · h-index 17

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Sentiment Analysis and Opinion Mining
    • Machine Learning in Healthcare
    • Semantic Web and Ontologies

Papers in

    • Topic Modeling 44
    • Natural Language Processing Techniques 34
    • Advanced Text Analysis Techniques 13
    • Semantic Web and Ontologies 6
    • Sentiment Analysis and Opinion Mining 4
    • Biomedical Text Mining and Ontologies 16

Arman Cohan

65 papers receiving 2.4k citations

Arman Cohan's Hit Papers

SciBERT: A Pretrained Language Model for Scientific Text 2019 · 1.6k citations
1.6k0+2+4Years since publication50010001.5k

Peers

Arman Cohan
Comparison fields: 5 of 132
  • Health Informatics 85
  • Artificial Intelligence 1.8k
  • Information Systems 288
  • General Social Sciences 38
  • Management Science and Operations Research 124
Replace Ting Liu with:
Ting Liu China
Usman Naseem Australia
Guido Zuccon Australia
Tiezheng Yu Hong Kong
Ziwei Ji Hong Kong
Kyle Lo United States
Isabelle Augenstein Denmark
Iz Beltagy United States
Nayeon Lee Hong Kong
Arman Cohan relative to Ting Liu China Ting Liu's profile →
Citations per field
00.5×4.5×
Ting Liu · 1×
Citations per year

Countries citing papers authored by Arman Cohan

Since Specialization
Citations

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

Fields of papers citing papers by Arman Cohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Arman Cohan, 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 Arman Cohan Line = papers co-authored together Arman Cohan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SciBERT: A Pretrained Language Model for Scientific Text
Hit paper breakdown →
20191649
2
SciBERT: Pretrained Contextualized Embeddings for Scientific Text
201989
3 202264
4 202149
5 202449
6 201547
7 202233
8 201728
9 201824
10 202224
11 202222
12 202321
13 202221
14 202319
15 201819
16 201619
17 202217
18 202416
19 202316
20 201716

About Arman Cohan

Arman Cohan is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Social Psychology and Radiology, Nuclear Medicine and Imaging, having authored 84 papers that have together received 2.5k indexed citations. Recurring topics across this work include Topic Modeling (44 papers), Natural Language Processing Techniques (34 papers), Biomedical Text Mining and Ontologies (16 papers), Advanced Text Analysis Techniques (13 papers), Semantic Web and Ontologies (6 papers), Mental Health via Writing (5 papers), Expert finding and Q&A systems (4 papers) and Sentiment Analysis and Opinion Mining (4 papers). The work is most often cited by research in Health Informatics (85 citations), Artificial Intelligence (1.8k citations), Information Systems (288 citations), General Social Sciences (38 citations) and Management Science and Operations Research (124 citations). Arman Cohan has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Iz Beltagy, Kyle Lo, Nazli Goharian, Andrew Yates, Sean MacAvaney, Giuseppe Carenini, Xiao Wen, Luca Soldaini, Bart Desmet and Lucy Lu Wang. Their work appears in journals such as Transactions of the Association for Computational Linguistics, npj Digital Medicine, Nature Communications, Information Retrieval and Journal of the Association for Information Science and Technology.

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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