N. Nefedov

29 papers receiving 359 citations

Peers

N. Nefedov
Comparison fields: 5 of 56
  • Computational Mathematics 15
  • Statistical and Nonlinear Physics 155
  • Artificial Intelligence 155
  • Computer Vision and Pattern Recognition 78
  • Computer Networks and Communications 85
Replace Thomas Bühler with:
Thomas Bühler Germany
Nan Zhao China
Aamir Anis United States
Brian Baingana United States
Raehyun Kim South Korea
Ambedkar Dukkipati India
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Dan Kushnir United States
Ali Çivril Türkiye
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Countries citing papers authored by N. Nefedov

Since Specialization
Citations

This map shows the geographic impact of N. Nefedov'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 N. Nefedov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Nefedov more than expected).

Fields of papers citing papers by N. Nefedov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. Nefedov. 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 N. Nefedov. The network helps show where N. Nefedov may publish in the future.

Co-authors

The 24 scholars most cited alongside N. Nefedov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with N. Nefedov Line = papers co-authored together N. Nefedov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014147
2 2012100
3 200720
4 201320
5 200313
6 199011
7 200211
8 20029
9 20025
10 19944
11 20034
12 20114
13 20044
14 19913
15 20033
16 20033
17 19993
18 20113
19 20113
20 19932

About N. Nefedov

N. Nefedov is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Artificial Intelligence and Transportation, having authored 32 papers that have together received 383 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (17 papers), Wireless Communication Networks Research (15 papers), Advanced Wireless Network Optimization (6 papers), High-Energy Particle Collisions Research (4 papers), Complex Network Analysis Techniques (4 papers), Nuclear physics research studies (3 papers), Human Mobility and Location-Based Analysis (3 papers) and Error Correcting Code Techniques (3 papers). The work is most often cited by research in Computational Mathematics (15 citations), Statistical and Nonlinear Physics (155 citations), Artificial Intelligence (155 citations), Computer Vision and Pattern Recognition (78 citations) and Computer Networks and Communications (85 citations). N. Nefedov has collaborated with scholars based in Finland, Switzerland and Russia. Frequent co-authors include Pascal Frossard, Pierre Vandergheynst, Xiaowen Dong, Xiaowen Dong, Antoine O. Berthet, Raphaël Visoz, M. Heino, Tapani Ryhänen, Е. Е. Ковалев and H. J. Crawford. Their work appears in journals such as Nuclear Physics A, IEEE Transactions on Signal Processing, IEEE Transactions on Communications, European Transactions on Telecommunications and Service Oriented Computing and Applications.

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.

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