Shahar Avin
- Health Informatics top 10%
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- scientometrics and bibliometrics research 2
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- Philosophy and History of Science 4
- Safety Research top 10%
- Ethics and Social Impacts of AI 2
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- Global Energy and Sustainability Research 2
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- Evolutionary Game Theory and Cooperation 2
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- Social Media and Politics 1
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- Big Data and Business Intelligence 1
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- Neural dynamics and brain function 1
- Co-authors
- Asaf TzachorSeán Ó hÉigeartaighMedha DevareB. R. KingCatherine E. RichardsRichard FennerBonnie C. WintleM. J. Rees
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Shahar Avin
21 papers receiving 449 citations
Peers
Comparison fields: 5 of 116
- Health Informatics 14
- Statistics, Probability and Uncertainty 49
- History and Philosophy of Science 27
- Safety Research 43
- Developmental Biology 8
Countries citing papers authored by Shahar Avin
This map shows the geographic impact of Shahar Avin'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 Shahar Avin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shahar Avin more than expected).
Fields of papers citing papers by Shahar Avin
This network shows the impact of papers produced by Shahar Avin. 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 Shahar Avin. The network helps show where Shahar Avin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shahar Avin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 57 | |
| 4 | 2022 | 88 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 43 | |
| 8 | 2021 | 26 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 2 | |
| 12 | Surveying Safety-relevant AI Characteristics | 2019 | 10 |
| 13 | 2019 | 7 | |
| 14 | 2019 | 2 | |
| 15 | 2018 | 28 | |
| 16 | 2018 | 64 | |
| 17 | Beyond brain size: Uncovering the neural correlates of behavioral and cognitive specialization. Comparative Cognition & Behavior Reviews | 2018 | 2 |
| 18 | 2018 | 2 | |
| 19 | 2018 | 83 | |
| 20 | 2017 | 20 |
About Shahar Avin
Shahar Avin is a scholar working on History and Philosophy of Science, Health Informatics, Developmental Biology, Information Systems and Management and Statistics, Probability and Uncertainty, having authored 22 papers that have together received 480 indexed citations. Recurring topics across this work include Philosophy and History of Science (4 papers), Global Energy and Sustainability Research (2 papers), Ethics and Social Impacts of AI (2 papers), scientometrics and bibliometrics research (2 papers), Evolutionary Game Theory and Cooperation (2 papers), Social Media and Politics (1 paper), Big Data and Business Intelligence (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Health Informatics (14 citations), Statistics, Probability and Uncertainty (49 citations), History and Philosophy of Science (27 citations), Safety Research (43 citations) and Developmental Biology (8 citations). Shahar Avin has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Asaf Tzachor, Seán Ó hÉigeartaigh, Medha Devare, B. R. King, Catherine E. Richards, Richard Fenner, Bonnie C. Wintle, M. J. Rees, Adrian Currie and William J. Sutherland. Their work appears in journals such as Futures, BMC Biology, Global Public Health, Studies in History and Philosophy of Science Part A and Science.
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.