Alon Bartal
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
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- Complex Network Analysis Techniques 8
- Opinion Dynamics and Social Influence 6
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- Social Media and Politics 4
- Co-authors
- Kathleen M. Jagodnik (12 shared papers)Gilad Ravid (5 shared papers)Sharon Dekel (5 shared papers)Nava Pliskin (4 shared papers)Sabrina Chan (3 shared papers)Alexander Lachmann (4 shared papers)Daniel Clarke (4 shared papers)Avi Ma’ayan (4 shared papers)
- Journals
- PLoS ONE (2 papers)Scientific Reports (2 papers)Social Networks (1 paper)PeerJ (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Alon Bartal
21 papers receiving 203 citations
Peers
Comparison fields: 5 of 73
- Health Informatics 5
- Statistical and Nonlinear Physics 43
- Obstetrics and Gynecology 18
- Communication 18
- Computational Theory and Mathematics 30
Countries citing papers authored by Alon Bartal
This map shows the geographic impact of Alon Bartal'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 Alon Bartal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alon Bartal more than expected).
Fields of papers citing papers by Alon Bartal
This network shows the impact of papers produced by Alon Bartal. 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 Alon Bartal. The network helps show where Alon Bartal may publish in the future.
Co-authors
The 25 scholars most cited alongside Alon Bartal, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 48 | |
| 2 | 2022 | 22 | |
| 3 | 2019 | 16 | |
| 4 | 2009 | 14 | |
| 5 | 2024 | 13 | |
| 6 | 2023 | 12 | |
| 7 | 2019 | 11 | |
| 8 | 2020 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2021 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2018 | 2 |
About Alon Bartal
Alon Bartal is a scholar working on Statistical and Nonlinear Physics, Communication, Molecular Biology, Computer Networks and Communications and Obstetrics and Gynecology, having authored 23 papers that have together received 210 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (6 papers), Social Media and Politics (4 papers), Maternal and Perinatal Health Interventions (3 papers), Peer-to-Peer Network Technologies (3 papers), Computational Drug Discovery Methods (2 papers), AI in Service Interactions (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Health Informatics (5 citations), Statistical and Nonlinear Physics (43 citations), Obstetrics and Gynecology (18 citations), Communication (18 citations) and Computational Theory and Mathematics (30 citations). Alon Bartal has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Kathleen M. Jagodnik, Gilad Ravid, Sharon Dekel, Nava Pliskin, Sabrina Chan, Alexander Lachmann, Daniel Clarke, Avi Ma’ayan, John Erol Evangelista and Laura B. Ferguson. Their work appears in journals such as PLoS ONE, Scientific Reports, Social Networks, PeerJ and IEEE Transactions on Knowledge and Data Engineering.
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.