Alexander Gutfraind
Impact in
-
- Risk and Safety Analysis
- Hepatology top 10%
- Hepatitis C virus research
Papers in
- Epidemiology 11
- HIV, Drug Use, Sexual Risk 6
- Hepatitis B Virus Studies 3
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- Complex Network Analysis Techniques 8
- Opinion Dynamics and Social Influence 5
- Co-authors
- Igor Linkov (1 shared paper)Alexander A. Ganin (1 shared paper)Rami Mangoubi (1 shared paper)Alexander Kott (1 shared paper)Emanuele Massaro (1 shared paper)Jeffrey M. Keisler (1 shared paper)Lauren Ancel Meyers (4 shared papers)Basmattee Boodram (10 shared papers)
- Journals
- PLoS ONE (4 papers)Journal of Complex Networks (2 papers)Applied Network Science (1 paper)PeerJ (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Alexander Gutfraind
35 papers receiving 647 citations
Peers
Comparison fields: 5 of 125
- Statistics, Probability and Uncertainty 77
- Hepatology 72
- Civil and Structural Engineering 189
- Statistical and Nonlinear Physics 100
- Modeling and Simulation 27
Countries citing papers authored by Alexander Gutfraind
This map shows the geographic impact of Alexander Gutfraind'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 Alexander Gutfraind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Gutfraind more than expected).
Fields of papers citing papers by Alexander Gutfraind
This network shows the impact of papers produced by Alexander Gutfraind. 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 Alexander Gutfraind. The network helps show where Alexander Gutfraind may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Gutfraind, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 222 | |
| 2 | 2015 | 38 | |
| 3 | 2018 | 35 | |
| 4 | 2010 | 28 | |
| 5 | 2019 | 26 | |
| 6 | 2015 | 25 | |
| 7 | 2015 | 21 | |
| 8 | 2015 | 18 | |
| 9 | 2009 | 18 | |
| 10 | 2011 | 18 | |
| 11 | 2011 | 17 | |
| 12 | 2011 | 17 | |
| 13 | 2017 | 16 | |
| 14 | 2017 | 16 | |
| 15 | 2015 | 15 | |
| 16 | 2009 | 13 | |
| 17 | 2022 | 13 | |
| 18 | 2016 | 13 | |
| 19 | 2016 | 12 | |
| 20 | 2012 | 11 |
About Alexander Gutfraind
Alexander Gutfraind is a scholar working on Epidemiology, Statistical and Nonlinear Physics, Hepatology, Civil and Structural Engineering and Computer Networks and Communications, having authored 36 papers that have together received 671 indexed citations. Recurring topics across this work include Hepatitis C virus research (8 papers), Complex Network Analysis Techniques (8 papers), Infrastructure Resilience and Vulnerability Analysis (6 papers), HIV, Drug Use, Sexual Risk (6 papers), Opinion Dynamics and Social Influence (5 papers), Terrorism, Counterterrorism, and Political Violence (4 papers), Complexity and Algorithms in Graphs (4 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (77 citations), Hepatology (72 citations), Civil and Structural Engineering (189 citations), Statistical and Nonlinear Physics (100 citations) and Modeling and Simulation (27 citations). Alexander Gutfraind has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Igor Linkov, Alexander A. Ganin, Rami Mangoubi, Alexander Kott, Emanuele Massaro, Jeffrey M. Keisler, Lauren Ancel Meyers, Basmattee Boodram, Harel Dahari and Alison P. Galvani. Their work appears in journals such as PLoS ONE, Journal of Complex Networks, Applied Network Science, PeerJ and The Journal of Infectious Diseases.
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.