Andrei Tchernykh
- Computer Networks and Communications top 1%
- Information Systems top 0.5%
- Artificial Intelligence top 5%
- Industrial and Manufacturing Engineering top 2%
- Hardware and Architecture top 5%
- Co-authors
- Mikhail BabenkoGleb RadchenkoRamin YahyapourArutyun AvetisyanUwe SchwiegelshohnSergio NesmachnowEl‐Ghazali TalbiJorge M. Cortés-Mendoza
- Topics
- Distributed and Parallel Computing Systems (51 papers)Cloud Computing and Resource Management (51 papers)Cryptography and Data Security (30 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEEuropean Journal of Operational Research
In The Last Decade
Andrei Tchernykh
154 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 104
- Computer Networks and Communications 992
- Information Systems 974
- Artificial Intelligence 398
- Industrial and Manufacturing Engineering 254
- Hardware and Architecture 175
Countries citing papers authored by Andrei Tchernykh
This map shows the geographic impact of Andrei Tchernykh'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 Andrei Tchernykh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrei Tchernykh more than expected).
Fields of papers citing papers by Andrei Tchernykh
This network shows the impact of papers produced by Andrei Tchernykh. 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 Andrei Tchernykh. The network helps show where Andrei Tchernykh may publish in the future.
Co-authorship network of co-authors of Andrei Tchernykh
This figure shows the co-authorship network connecting the top 25 collaborators of Andrei Tchernykh. A scholar is included among the top collaborators of Andrei Tchernykh 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 Andrei Tchernykh. Andrei Tchernykh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | Reliability Improvement of Information Systems by Residue Number System Code | 3 |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 14 | |
| 17 | 5 | |
| 18 | 9 | |
| 19 | Two level job-scheduling strategies for a computational grid | 18 |
| 20 | I-Structure software cache for distributed applications | 1 |
About Andrei Tchernykh
Andrei Tchernykh is a scholar working on Information Systems, Computer Networks and Communications and Hardware and Architecture, having authored 174 papers that have together received 1.7k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (51 papers), Cloud Computing and Resource Management (51 papers) and Cryptography and Data Security (30 papers). The work is most often cited by research in Computer Networks and Communications (992 citations), Information Systems (974 citations) and Hardware and Architecture (175 citations). Andrei Tchernykh has collaborated with scholars based in Mexico, Russia and Uruguay. Frequent co-authors include Mikhail Babenko, Gleb Radchenko, Ramin Yahyapour, Arutyun Avetisyan, Uwe Schwiegelshohn, Sergio Nesmachnow, El‐Ghazali Talbi, Jorge M. Cortés-Mendoza, Vanessa Miranda-López and Johnatan E. Pecero. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Journal of Operational 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.