Ofra Amir

1.2k total citations
44 papers, 729 citations indexed

About

Ofra Amir is a scholar working on Artificial Intelligence, Computer Science Applications and Management Science and Operations Research. According to data from OpenAlex, Ofra Amir has authored 44 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 8 papers in Computer Science Applications and 7 papers in Management Science and Operations Research. Recurrent topics in Ofra Amir's work include Explainable Artificial Intelligence (XAI) (9 papers), Multi-Agent Systems and Negotiation (8 papers) and Auction Theory and Applications (7 papers). Ofra Amir is often cited by papers focused on Explainable Artificial Intelligence (XAI) (9 papers), Multi-Agent Systems and Negotiation (8 papers) and Auction Theory and Applications (7 papers). Ofra Amir collaborates with scholars based in Israel, United States and Australia. Ofra Amir's co-authors include Kobi Gal, David G. Rand, Barbara J. Grosz, Andrey Kolobov, Finale Doshi‐Velez, Ece Kamar, Krzysztof Z. Gajos, Lee Sanders, Roni Stern and David Sarne and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Clinical Epidemiology.

In The Last Decade

Ofra Amir

44 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ofra Amir Israel 13 253 214 213 75 72 44 729
Karel Van den Bosch Netherlands 16 247 1.0× 105 0.5× 180 0.8× 53 0.7× 45 0.6× 84 896
Thilo Hagendorff Germany 15 259 1.0× 261 1.2× 104 0.5× 126 1.7× 26 0.4× 31 735
Hansjörg Neth Germany 10 101 0.4× 40 0.2× 151 0.7× 108 1.4× 58 0.8× 38 644
Ziv Epstein United States 15 469 1.9× 187 0.9× 928 4.4× 242 3.2× 19 0.3× 24 1.6k
Eyal Péer Israel 16 78 0.3× 48 0.2× 323 1.5× 43 0.6× 17 0.2× 32 753
Rafał Kocielnik United States 15 326 1.3× 77 0.4× 118 0.6× 68 0.9× 20 0.3× 39 992
Abdullah Almaatouq United States 11 102 0.4× 56 0.3× 133 0.6× 29 0.4× 23 0.3× 23 463
Sónia Sousa Estonia 12 174 0.7× 138 0.6× 166 0.8× 51 0.7× 36 0.5× 55 804
Elena Filatova United States 12 568 2.2× 33 0.2× 139 0.7× 28 0.4× 33 0.5× 24 910
Scott A. Jensen United States 15 188 0.7× 60 0.3× 90 0.4× 82 1.1× 37 0.5× 49 1.1k

Countries citing papers authored by Ofra Amir

Since Specialization
Citations

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

Fields of papers citing papers by Ofra Amir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ofra Amir

This figure shows the co-authorship network connecting the top 25 collaborators of Ofra Amir. A scholar is included among the top collaborators of Ofra Amir 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 Ofra Amir. Ofra Amir 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.
Amir, Ofra, et al.. (2024). ASQ-IT: Interactive explanations for reinforcement-learning agents. Artificial Intelligence. 335. 104182–104182. 1 indexed citations
2.
Amir, Ofra, et al.. (2024). Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 10003–10011. 3 indexed citations
3.
Usher, Maya, Ido Roll, Orly Fuhrman, & Ofra Amir. (2024). Supporting Coordination and Peer Editing in Students’ Online Collaborative Writing Processes. International Journal of Artificial Intelligence in Education. 35(3). 1504–1527. 2 indexed citations
4.
Goldberg, Yair, Ofra Amir, Micha Mandel, et al.. (2023). Measuring vaccine protection when the population is mostly vaccinated. Journal of Clinical Epidemiology. 163. 111–116. 2 indexed citations
5.
Amir, Ofra, Yair Goldberg, Micha Mandel, et al.. (2023). Protection against Omicron BA.1/BA.2 severe disease 0–7 months after BNT162b2 booster. Communications Biology. 6(1). 315–315. 2 indexed citations
6.
Meir, Reshef, et al.. (2023). Frustratingly Easy Truth Discovery. Proceedings of the AAAI Conference on Artificial Intelligence. 37(5). 6074–6083. 1 indexed citations
7.
Amir, Ofra, Yair Goldberg, Micha Mandel, et al.. (2022). Initial protection against SARS-CoV-2 omicron lineage infection in children and adolescents by BNT162b2 in Israel: an observational study. The Lancet Infectious Diseases. 23(1). 67–73. 12 indexed citations
8.
Amir, Ofra, et al.. (2022). Tell me something interesting: Clinical utility of machine learning prediction models in the ICU. Journal of Biomedical Informatics. 132. 104107–104107. 7 indexed citations
9.
Amir, Ofra, Yair Goldberg, Micha Mandel, et al.. (2022). Protection following BNT162b2 booster in adolescents substantially exceeds that of a fresh 2-dose vaccine. Nature Communications. 13(1). 1971–1971. 7 indexed citations
10.
Miller, Tim, Robert R. Hoffman, Ofra Amir, & Andreas Holzinger. (2022). Special issue on Explainable Artificial Intelligence (XAI). Artificial Intelligence. 307. 103705–103705. 16 indexed citations
11.
Clark, Catherine L., Bonnie Halpern‐Felsher, Paul N. Bennett, et al.. (2020). Parent Perspectives in Shared Decision-Making for Children With Medical Complexity. Academic Pediatrics. 20(8). 1101–1108. 31 indexed citations
12.
Meir, Reshef, et al.. (2019). Truth Discovery via Proxy Voting.. arXiv (Cornell University). 1 indexed citations
13.
Lage, Isaac, et al.. (2019). Toward Robust Policy Summarization. Adaptive Agents and Multi-Agents Systems. 2081–2083. 6 indexed citations
14.
Amir, Ofra, et al.. (2019). Personalized change awareness: Reducing information overload in loosely-coupled teamwork. Artificial Intelligence. 275. 204–233. 6 indexed citations
15.
Lage, Isaac, et al.. (2019). Toward Robust policy Summarization: Extended Abstract.. PubMed. 2019. 2081–2083. 3 indexed citations
16.
Amir, Ofra, et al.. (2018). HIGHLIGHTS: Summarizing Agent Behavior to People. Adaptive Agents and Multi-Agents Systems. 1168–1176. 41 indexed citations
17.
Amir, Ofra, Finale Doshi‐Velez, & David Sarne. (2018). Agent Strategy Summarization. Adaptive Agents and Multi-Agents Systems. 1203–1207. 7 indexed citations
18.
Amir, Ofra, Barbara J. Grosz, & Krzysztof Z. Gajos. (2016). Mutual influence potential networks: enabling information sharing in loosely-coupled extended-duration teamwork. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 796–803. 4 indexed citations
19.
Amir, Ofra, Barbara J. Grosz, & Krzysztof Z. Gajos. (2016). MIP-Nets: Enabling Information Sharing in Loosely-Coupled Teamwork. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 2 indexed citations
20.
Amir, Ofra. (2013). Information sharing for care coordination. Adaptive Agents and Multi-Agents Systems. 1417–1418. 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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