Ofra Amir
Impact in
- General Decision Sciences top 5%
- Decision-Making and Behavioral Economics
- Safety Research top 2%
- Experimental Behavioral Economics Studies
Papers in
-
- Explainable Artificial Intelligence (XAI) 9
- Multi-Agent Systems and Negotiation 8
- Reinforcement Learning in Robotics 5
- Semantic Web and Ontologies 4
- Topic Modeling 4
-
- Mobile Crowdsensing and Crowdsourcing 6
- Co-authors
- Kobi Gal (5 shared papers)David G. Rand (2 shared papers)Barbara J. Grosz (10 shared papers)Andrey Kolobov (1 shared paper)Ece Kamar (1 shared paper)Finale Doshi‐Velez (4 shared papers)Krzysztof Z. Gajos (6 shared papers)Lee Sanders (4 shared papers)
- Journals
- Artificial Intelligence (3 papers)PLoS ONE (2 papers)International Journal of Artificial Intelligence in Education (1 paper)ACM Transactions on Interactive Intelligent Systems (1 paper)Nature Communications (1 paper)
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Ofra Amir
44 papers receiving 707 citations
Peers
Comparison fields: 5 of 107
- General Decision Sciences 60
- Safety Research 214
- Computer Science Applications 59
- Health Informatics 13
- Artificial Intelligence 253
Countries citing papers authored by Ofra Amir
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
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-authors
The 25 scholars most cited alongside Ofra Amir, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 258 | |
| 2 | Interactive teaching strategies for agent training | 2016 | 50 |
| 3 | 2018 | 41 | |
| 4 | 2021 | 39 | |
| 5 | 2015 | 37 | |
| 6 | 2020 | 31 | |
| 7 | 2011 | 26 | |
| 8 | 2013 | 26 | |
| 9 | 2021 | 26 | |
| 10 | 2019 | 24 | |
| 11 | 2015 | 21 | |
| 12 | 2022 | 16 | |
| 13 | 2022 | 12 | |
| 14 | 2014 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2018 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2022 | 7 |
About Ofra Amir
Ofra Amir is a scholar working on Artificial Intelligence, Computer Science Applications, Management Science and Operations Research, Infectious Diseases and Sociology and Political Science, having authored 44 papers that have together received 729 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (9 papers), Multi-Agent Systems and Negotiation (8 papers), Auction Theory and Applications (7 papers), Mobile Crowdsensing and Crowdsourcing (6 papers), Reinforcement Learning in Robotics (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Semantic Web and Ontologies (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in General Decision Sciences (60 citations), Safety Research (214 citations), Computer Science Applications (59 citations), Health Informatics (13 citations) and Artificial Intelligence (253 citations). Ofra Amir has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Kobi Gal, David G. Rand, Barbara J. Grosz, Andrey Kolobov, Ece Kamar, Finale Doshi‐Velez, Krzysztof Z. Gajos, Lee Sanders, Mor Naaman and David Sarne. Their work appears in journals such as Artificial Intelligence, PLoS ONE, International Journal of Artificial Intelligence in Education, ACM Transactions on Interactive Intelligent Systems and Nature Communications.
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.