Valery Trifonov
- Molecular Biology top 10%
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 5%
- Information Systems top 10%
- Hardware and Architecture top 5%
- Co-authors
- Mark GersteinHaiyuan YuPhilip M. KimEmmett SprecherZhong ShaoScott F. SmithBratin SahaAlberto Paccanaro
- Topics
- Logic, programming, and type systems (16 papers)Formal Methods in Verification (10 papers)Software Engineering Research (4 papers)
- Partner nations
- United StatesGreeceFrance
In The Last Decade
Valery Trifonov
21 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 712
- Computational Theory and Mathematics 477
- Artificial Intelligence 447
- Information Systems 95
- Hardware and Architecture 81
Countries citing papers authored by Valery Trifonov
This map shows the geographic impact of Valery Trifonov'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 Valery Trifonov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valery Trifonov more than expected).
Fields of papers citing papers by Valery Trifonov
This network shows the impact of papers produced by Valery Trifonov. 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 Valery Trifonov. The network helps show where Valery Trifonov may publish in the future.
Co-authorship network of co-authors of Valery Trifonov
This figure shows the co-authorship network connecting the top 25 collaborators of Valery Trifonov. A scholar is included among the top collaborators of Valery Trifonov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Valery Trifonov. Valery Trifonov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The Importance of Bottlenecks in Protein Networks: Correlation with Gene Essentiality and Expression Dynamicsbreakdown → | 737 |
| 2 | 17 | |
| 3 | 126 | |
| 4 | 3 | |
| 5 | 37 | |
| 6 | 30 | |
| 7 | 7 | |
| 8 | 7 | |
| 9 | 42 | |
| 10 | 17 | |
| 11 | 21 | |
| 12 | 5 | |
| 13 | 48 | |
| 14 | 6 | |
| 15 | 41 | |
| 16 | 22 | |
| 17 | 67 | |
| 18 | 73 | |
| 19 | 16 | |
| 20 | 10 |
About Valery Trifonov
Valery Trifonov is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Hardware and Architecture, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Logic, programming, and type systems (16 papers), Formal Methods in Verification (10 papers) and Software Engineering Research (4 papers). The work is most often cited by research in Computational Theory and Mathematics (477 citations), Artificial Intelligence (447 citations) and Software (47 citations). Valery Trifonov has collaborated with scholars based in United States, Greece and France. Frequent co-authors include Mark Gerstein, Haiyuan Yu, Philip M. Kim, Emmett Sprecher, Zhong Shao, Scott F. Smith, Bratin Saha, Alberto Paccanaro, Nikolaos Papaspyrou and Stefan Monnier. Their work appears in journals such as Bioinformatics, Genome Research and Genome biology.
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.