S. Gorbunov
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Nuclear and High Energy Physics
- Co-authors
- Vinod VaikuntanathanHoeteck WeeChristopher W. FletcherDhinakaran VinayagamurthyDaniel WichsDan BonehBen FischI. Kisel
- Topics
- Particle physics theoretical and experimental studies (7 papers)Cryptography and Data Security (7 papers)Particle Detector Development and Performance (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputer Physics CommunicationsJournal of the ACM
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
S. Gorbunov
25 papers receiving 559 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 441
- Information Systems 179
- Computational Theory and Mathematics 129
- Computer Networks and Communications 96
- Nuclear and High Energy Physics 53
Countries citing papers authored by S. Gorbunov
This map shows the geographic impact of S. Gorbunov'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 S. Gorbunov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Gorbunov more than expected).
Fields of papers citing papers by S. Gorbunov
This network shows the impact of papers produced by S. Gorbunov. 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 S. Gorbunov. The network helps show where S. Gorbunov may publish in the future.
Co-authorship network of co-authors of S. Gorbunov
This figure shows the co-authorship network connecting the top 25 collaborators of S. Gorbunov. A scholar is included among the top collaborators of S. Gorbunov 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 S. Gorbunov. S. Gorbunov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 40 | |
| 3 | 1 | |
| 4 | 120 | |
| 5 | 1 | |
| 6 | 73 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | System Level Aerothermal Testing for the Adaptive Deployable Entry and Placement Technology (ADEPT) | 2 |
| 10 | 42 | |
| 11 | 9 | |
| 12 | 96 | |
| 13 | Mathematical model of viscoelastic softening material with exponential creep kernel | 0 |
| 14 | 21 | |
| 15 | 24 | |
| 16 | CURRENT DEVELOPMENTS IN FUTURE PLANETARY PROBE SENSORS FOR TPS: HEATSHIELD ABLATION DETECTOR ADAPTATION TO MID DENSITY ABLATORS | 1 |
| 17 | 3 | |
| 18 | 11 | |
| 19 | 7 | |
| 20 | 1 |
About S. Gorbunov
S. Gorbunov is a scholar working on Nuclear and High Energy Physics, Applied Mathematics and Artificial Intelligence, having authored 26 papers that have together received 583 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (7 papers), Cryptography and Data Security (7 papers) and Particle Detector Development and Performance (6 papers). The work is most often cited by research in Artificial Intelligence (441 citations), Computational Theory and Mathematics (129 citations) and Information Systems (179 citations). S. Gorbunov has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Vinod Vaikuntanathan, Hoeteck Wee, Christopher W. Fletcher, Dhinakaran Vinayagamurthy, Daniel Wichs, Dan Boneh, Ben Fisch, I. Kisel, U. Kebschull and T. Breitner. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer Physics Communications and Journal of the ACM.
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.