Avinash Collis
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in
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- Misinformation and Its Impacts 4
-
- COVID-19 Pandemic Impacts 5
- Co-authors
- Felix Eggers (5 shared papers)Seth Benzell (8 shared papers)Christos Nicolaides (7 shared papers)Erik Brynjolfsson (4 shared papers)Alex Moehring (6 shared papers)M. Amin Rahimian (5 shared papers)Dean Eckles (5 shared papers)Sinan Aral (5 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature Communications (1 paper)Risk Analysis (1 paper)Nature Human Behaviour (1 paper)Information Systems Research (1 paper)
- Partner nations
- United StatesCyprusNetherlands
In The Last Decade
Avinash Collis
20 papers receiving 528 citations
Peers
Comparison fields: 5 of 86
- Modeling and Simulation 171
- Health 105
- Transportation 47
- Economics and Econometrics 155
- General Decision Sciences 10
Countries citing papers authored by Avinash Collis
This map shows the geographic impact of Avinash Collis'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 Avinash Collis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avinash Collis more than expected).
Fields of papers citing papers by Avinash Collis
This network shows the impact of papers produced by Avinash Collis. 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 Avinash Collis. The network helps show where Avinash Collis may publish in the future.
Co-authors
The 25 scholars most cited alongside Avinash Collis, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 123 | |
| 2 | 2019 | 109 | |
| 3 | 2020 | 93 | |
| 4 | 2022 | 37 | |
| 5 | 2021 | 36 | |
| 6 | 2023 | 35 | |
| 7 | 2022 | 23 | |
| 8 | 2020 | 21 | |
| 9 | 2021 | 19 | |
| 10 | 2021 | 10 | |
| 11 | 2019 | 8 | |
| 12 | 2020 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2020 | 2 |
About Avinash Collis
Avinash Collis is a scholar working on Sociology and Political Science, Economics and Econometrics, Modeling and Simulation, Marketing and Health, having authored 21 papers that have together received 544 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), COVID-19 Pandemic Impacts (5 papers), Misinformation and Its Impacts (4 papers), Digital Platforms and Economics (3 papers), ICT Impact and Policies (3 papers), Vaccine Coverage and Hesitancy (3 papers), Psychology of Moral and Emotional Judgment (3 papers) and Consumer Market Behavior and Pricing (3 papers). The work is most often cited by research in Modeling and Simulation (171 citations), Health (105 citations), Transportation (47 citations), Economics and Econometrics (155 citations) and General Decision Sciences (10 citations). Avinash Collis has collaborated with scholars based in United States, Cyprus and Netherlands. Frequent co-authors include Felix Eggers, Seth Benzell, Christos Nicolaides, Erik Brynjolfsson, Alex Moehring, M. Amin Rahimian, Dean Eckles, Sinan Aral, Kiran Garimella and Jeremy J. Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Risk Analysis, Nature Human Behaviour and Information Systems Research.
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.