Evgeny Osipov
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Co-authors
- Denis KleykoDmitri A. RachkovskijAbbas RahimiDamminda AlahakoonDaswin De SilvaUrban WiklundJan M. RabaeyWolfgang Birk
- Topics
- Ferroelectric and Negative Capacitance Devices (21 papers)Advanced Memory and Neural Computing (19 papers)Neural Networks and Reservoir Computing (12 papers)
In The Last Decade
Evgeny Osipov
72 papers receiving 905 citations
Peers
Comparison fields: 5 of 102
- Electrical and Electronic Engineering 498
- Artificial Intelligence 394
- Computer Networks and Communications 136
- Computer Vision and Pattern Recognition 76
- Mechanical Engineering 50
Countries citing papers authored by Evgeny Osipov
This map shows the geographic impact of Evgeny Osipov'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 Evgeny Osipov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evgeny Osipov more than expected).
Fields of papers citing papers by Evgeny Osipov
This network shows the impact of papers produced by Evgeny Osipov. 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 Evgeny Osipov. The network helps show where Evgeny Osipov may publish in the future.
Co-authorship network of co-authors of Evgeny Osipov
This figure shows the co-authorship network connecting the top 25 collaborators of Evgeny Osipov. A scholar is included among the top collaborators of Evgeny Osipov 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 Evgeny Osipov. Evgeny Osipov 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 47 | |
| 6 | 3 | |
| 7 | 20 | |
| 8 | 62 | |
| 9 | 7 | |
| 10 | 8 | |
| 11 | 29 | |
| 12 | 55 | |
| 13 | 73 | |
| 14 | 5 | |
| 15 | 54 | |
| 16 | Enabling remote controlled road surface networks for enhanced ITS | 2 |
| 17 | 20 | |
| 18 | Evaluating the effect of ad hoc routing on TCP performance in IEEE 802.11 based MANETs | 0 |
| 19 | Estimating the ad hoc horizon for TCP over IEEE 802.11 networks | 6 |
| 20 | Improving the Path Optimality of Reactive Ad Hoc Routing Protocols Through De-Coherent RREQ waves | 4 |
About Evgeny Osipov
Evgeny Osipov is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering, having authored 80 papers that have together received 927 indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (21 papers), Advanced Memory and Neural Computing (19 papers) and Neural Networks and Reservoir Computing (12 papers). The work is most often cited by research in Artificial Intelligence (394 citations), Health Informatics (16 citations) and Electrical and Electronic Engineering (498 citations). Evgeny Osipov has collaborated with scholars based in Sweden, Australia and Finland. Frequent co-authors include Denis Kleyko, Dmitri A. Rachkovskij, Abbas Rahimi, Damminda Alahakoon, Daswin De Silva, Urban Wiklund, Jan M. Rabaey, Wolfgang Birk, Asad I. Khan and Valeriy Vyatkin. Their work appears in journals such as PLoS ONE, Proceedings of the IEEE and IEEE Access.
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.