Chris Varma
Impact in
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- Technology Adoption and User Behaviour
- Communication top 5%
- Social Media and Politics
Papers in
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- Protein Structure and Dynamics 3
- Genomics and Phylogenetic Studies 1
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- Computational Drug Discovery Methods 4
- Co-authors
- Jay Shendure (1 shared paper)George M. Church (1 shared paper)Robi D. Mitra (1 shared paper)B. J. Fogg (3 shared papers)Jonathan Marshall (2 shared papers)John Shon (3 shared papers)Carlos Guestrin (3 shared papers)Douglas L. Brutlag (3 shared papers)
- Journals
- Bioinformatics (2 papers)Journal of Computational Biology (1 paper)Nature Reviews Genetics (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesSingaporeJapan
In The Last Decade
Chris Varma
7 papers receiving 1.0k citations
Chris Varma's Hit Papers
Peers
Comparison fields: 5 of 141
- Information Systems and Management 160
- Communication 144
- Human-Computer Interaction 65
- Sociology and Political Science 363
- Information Systems 170
Countries citing papers authored by Chris Varma
This map shows the geographic impact of Chris Varma'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 Chris Varma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Varma more than expected).
Fields of papers citing papers by Chris Varma
This network shows the impact of papers produced by Chris Varma. 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 Chris Varma. The network helps show where Chris Varma may publish in the future.
Co-authors
The 20 scholars most cited alongside Chris Varma, 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 | What makes Web sites credible? Hit paper breakdown → | 2001 | 550 |
| 2 | 2004 | 429 | |
| 3 | 2003 | 96 | |
| 4 | 2000 | 41 | |
| 5 | 2002 | 28 | |
| 6 | 2002 | 8 | |
| 7 | 2000 | 2 | |
| 8 | 2023 | 0 |
About Chris Varma
Chris Varma is a scholar working on Molecular Biology, Computational Theory and Mathematics, Sociology and Political Science, Information Systems and Social Psychology, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (3 papers), Misinformation and Its Impacts (3 papers), Information and Cyber Security (2 papers), Deception detection and forensic psychology (2 papers), Genomics and Phylogenetic Studies (1 paper), Click Chemistry and Applications (1 paper) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Information Systems and Management (160 citations), Communication (144 citations), Human-Computer Interaction (65 citations), Sociology and Political Science (363 citations) and Information Systems (170 citations). Chris Varma has collaborated with scholars based in United States, Singapore and Japan. Frequent co-authors include Jay Shendure, George M. Church, Robi D. Mitra, B. J. Fogg, Jonathan Marshall, John Shon, Carlos Guestrin, Douglas L. Brutlag, Jean‐Claude Latombe and Mehmet Serkan Apaydın. Their work appears in journals such as Bioinformatics, Journal of Computational Biology, Nature Reviews Genetics and Cancer 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.