Philip R. Cohen

16.5k total citations · 2 hit papers
286 papers, 9.4k citations indexed

About

Philip R. Cohen is a scholar working on Artificial Intelligence, Dermatology and Epidemiology. According to data from OpenAlex, Philip R. Cohen has authored 286 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Artificial Intelligence, 55 papers in Dermatology and 38 papers in Epidemiology. Recurrent topics in Philip R. Cohen's work include Speech and dialogue systems (70 papers), Multi-Agent Systems and Negotiation (50 papers) and Natural Language Processing Techniques (27 papers). Philip R. Cohen is often cited by papers focused on Speech and dialogue systems (70 papers), Multi-Agent Systems and Negotiation (50 papers) and Natural Language Processing Techniques (27 papers). Philip R. Cohen collaborates with scholars based in United States, Canada and Australia. Philip R. Cohen's co-authors include Hector J. Levesque, Sharon Oviatt, C. Raymond Perrault, Razelle Kurzrock, David R. McGee, Jerry L. Morgan, Martha E. Pollack, Raymond W. Gibbs, Ira Smith and Sanjeev Kumar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Clinical Oncology.

In The Last Decade

Philip R. Cohen

268 papers receiving 8.1k citations

Hit Papers

Intention is choice with commitment 1990 2026 2002 2014 1990 1991 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip R. Cohen United States 46 4.7k 1.2k 902 875 670 286 9.4k
Allan MacLean United Kingdom 30 455 0.1× 855 0.7× 396 0.4× 180 0.2× 216 0.3× 122 4.0k
Robert J. K. Jacob United States 46 484 0.1× 3.8k 3.1× 1.3k 1.4× 49 0.1× 488 0.7× 174 7.4k
James Martin United States 41 3.8k 0.8× 82 0.1× 179 0.2× 36 0.0× 191 0.3× 215 7.8k
Douglas L. Nelson United States 35 1.7k 0.4× 201 0.2× 129 0.1× 89 0.1× 1.2k 1.7× 147 7.9k
Yulan He United Kingdom 45 4.8k 1.0× 45 0.0× 210 0.2× 122 0.1× 205 0.3× 230 8.4k
James Miller Canada 29 727 0.2× 813 0.7× 139 0.2× 40 0.0× 328 0.5× 145 5.6k
Anne Lynn S. Chang United States 48 1.6k 0.3× 99 0.1× 2.3k 2.5× 2.3k 2.6× 51 0.1× 220 12.5k
Toru Ishida Japan 42 2.0k 0.4× 312 0.3× 115 0.1× 9 0.0× 425 0.6× 497 6.7k
Scott L. Carter United States 40 151 0.0× 545 0.4× 517 0.6× 38 0.0× 215 0.3× 133 15.1k
David R. Kaufman United States 36 337 0.1× 192 0.2× 385 0.4× 35 0.0× 108 0.2× 176 7.2k

Countries citing papers authored by Philip R. Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Philip R. Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip R. Cohen. 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 Philip R. Cohen. The network helps show where Philip R. Cohen may publish in the future.

Co-authorship network of co-authors of Philip R. Cohen

This figure shows the co-authorship network connecting the top 25 collaborators of Philip R. Cohen. A scholar is included among the top collaborators of Philip R. Cohen 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 Philip R. Cohen. Philip R. Cohen 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.
Love, R.P., Philip R. Cohen, Gentiane Venture, & Dana Kulić. (2025). Adapting a Teachable Robot’s Dialog Responses Using Reinforcement Learning: Cross-Cultural User Study Exploring Effect on Engagement. ACM Transactions on Human-Robot Interaction. 14(4). 1–34.
2.
Love, R.P., Edith Law, Philip R. Cohen, & Dana Kulić. (2025). Teaching a Conversational Agent using Natural Language: Effect on Learning and Engagement. International Journal of Artificial Intelligence in Education. 35(4). 2078–2116. 5 indexed citations
3.
Cockerell, Clay J., et al.. (2024). Treatment-Resistant Chromoblastomycosis Successfully Managed With Surgical Excision. Cureus. 16(11). e73619–e73619.
6.
Li, Zhuang, et al.. (2023). The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning. Monash University Research Portal (Monash University). 9511–9528. 3 indexed citations
7.
Beutler, Bryce D., et al.. (2019). Osteoma Cutis Associated with Nevus Sebaceus: Case Report and Review of Cutaneous Osteoma-associated Skin Tumors (COASTs) . Cureus. 11(6). e4959–e4959. 1 indexed citations
8.
Cohen, Philip R., Shumei Kato, Aaron M. Goodman, Sadakatsu Ikeda, & Razelle Kurzrock. (2017). Appearance of New Cutaneous Superficial Basal Cell Carcinomas during Successful Nivolumab Treatment of Refractory Metastatic Disease: Implications for Immunotherapy in Early Versus Late Disease. International Journal of Molecular Sciences. 18(8). 1663–1663. 28 indexed citations
9.
Cohen, Philip R. & Brian Hinds. (2017). Acquired Elastotic Hemangioma: Case Series and Comprehensive Literature Review. Cureus. 9(12). e1994–e1994. 5 indexed citations
10.
Cohen, Philip R., et al.. (2013). Gefitinib-associated vitiligo: report in a man with parotid squamous cell carcinoma and review of drug-induced hypopigmentation. Dermatology Online Journal. 19(10). 20020–20020. 7 indexed citations
11.
Kumar, Sanjeev, et al.. (2007). Confirming Changes in Beliefs and Intentions.. National Conference on Artificial Intelligence. 66. 46–47. 1 indexed citations
12.
Cohen, Philip R.. (2007). Community-Acquired Methicillin-Resistant Staphylococcus Aureus Skin Infections. American Journal of Clinical Dermatology. 8(5). 259–270. 49 indexed citations
13.
Kumar, Sanjeev & Philip R. Cohen. (2004). STAPLE: An Agent Programming Language Based on the Joint Intention Theory. Adaptive Agents and Multi-Agents Systems. 1390–1391. 5 indexed citations
14.
Cohen, Philip R.. (2001). Multimodal interaction: a new focal area for AI. International Joint Conference on Artificial Intelligence. 1467–1473. 1 indexed citations
15.
Kumar, Sanjeev, Marcus J. Huber, David R. McGee, Philip R. Cohen, & Hector J. Levesque. (2000). Designing the Semantics of Agent Communication Languages for Group Interaction. 2 indexed citations
16.
Oviatt, Sharon & Philip R. Cohen. (2000). MULTIMODAL INTERFACES THAT PROCESS WHAT COMES NATURALLY. Communications of the ACM. 43. 45–53. 102 indexed citations
17.
Cohen, Philip R.. (1994). Natural Language Techniques for Multimodal Interaction. 1403–1416.
18.
Perrault, C. Raymond & Philip R. Cohen. (1977). Overview of Planning speech acts. International Joint Conference on Artificial Intelligence. 119–119. 8 indexed citations
19.
Mylopoulos, John, et al.. (1975). Semantic networks and the generation of context. International Joint Conference on Artificial Intelligence. 134–142. 14 indexed citations
20.
Mylopoulos, John, et al.. (1975). TORUS: a natural language understanding system for data management. International Joint Conference on Artificial Intelligence. 414–421. 20 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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