Orr Levy
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
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- Creativity in Education and Neuroscience
Papers in
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- Complex Network Analysis Techniques 7
- Opinion Dynamics and Social Influence 3
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- Single-cell and spatial transcriptomics 3
- Epigenetics and DNA Methylation 2
- Co-authors
- Shlomo Havlin (12 shared papers)H. Eugene Stanley (2 shared papers)Yoed N. Kenett (2 shared papers)Miriam Faust (1 shared paper)Dror Y. Kenett (1 shared paper)Daqing Li (4 shared papers)Hideki Takayasu (2 shared papers)Misako Takayasu (2 shared papers)
- Journals
- Scientific Reports (3 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)Environment and Planning B Urban Analytics and City Science (1 paper)EPJ Data Science (1 paper)
- Partner nations
- IsraelUnited StatesChina
In The Last Decade
Orr Levy
16 papers receiving 568 citations
Peers
Comparison fields: 5 of 111
- Statistical and Nonlinear Physics 125
- Experimental and Cognitive Psychology 118
- Aging 15
- Cognitive Neuroscience 125
- Transportation 38
Countries citing papers authored by Orr Levy
This map shows the geographic impact of Orr Levy'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 Orr Levy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Orr Levy more than expected).
Fields of papers citing papers by Orr Levy
This network shows the impact of papers produced by Orr Levy. 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 Orr Levy. The network helps show where Orr Levy may publish in the future.
Co-authors
The 25 scholars most cited alongside Orr Levy, 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 | 2018 | 161 | |
| 2 | 2020 | 101 | |
| 3 | 2020 | 66 | |
| 4 | 2020 | 49 | |
| 5 | 2021 | 40 | |
| 6 | 2024 | 33 | |
| 7 | 2020 | 33 | |
| 8 | 2021 | 28 | |
| 9 | 2019 | 18 | |
| 10 | 2019 | 18 | |
| 11 | 2017 | 13 | |
| 12 | 2024 | 11 | |
| 13 | 2018 | 7 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 0 |
About Orr Levy
Orr Levy is a scholar working on Statistical and Nonlinear Physics, Molecular Biology, Cognitive Neuroscience, Sociology and Political Science and Experimental and Cognitive Psychology, having authored 17 papers that have together received 585 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Single-cell and spatial transcriptomics (3 papers), Neural dynamics and brain function (3 papers), Complex Systems and Time Series Analysis (3 papers), Opinion Dynamics and Social Influence (3 papers), Epigenetics and DNA Methylation (2 papers), Mental Health Research Topics (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (125 citations), Experimental and Cognitive Psychology (118 citations), Aging (15 citations), Cognitive Neuroscience (125 citations) and Transportation (38 citations). Orr Levy has collaborated with scholars based in Israel, United States and China. Frequent co-authors include Shlomo Havlin, H. Eugene Stanley, Yoed N. Kenett, Miriam Faust, Dror Y. Kenett, Daqing Li, Hideki Takayasu, Misako Takayasu, Jichang Zhao and Junjie Wu. Their work appears in journals such as Scientific Reports, Proceedings of the National Academy of Sciences, Nature Communications, Environment and Planning B Urban Analytics and City Science and EPJ Data 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.