Nikolay Savinov

28 total papers · 2.1k total citations
7 papers, 330 citations indexed

About

Nikolay Savinov is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Nikolay Savinov has authored 7 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Computational Mechanics. Recurrent topics in Nikolay Savinov's work include Advanced Image and Video Retrieval Techniques (4 papers), Image and Object Detection Techniques (2 papers) and Advanced Neural Network Applications (2 papers). Nikolay Savinov is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Image and Object Detection Techniques (2 papers) and Advanced Neural Network Applications (2 papers). Nikolay Savinov collaborates with scholars based in Switzerland, United States and Japan. Nikolay Savinov's co-authors include Marc Pollefeys, Dmitry Laptev, Joachim M. Buhmann, Ľubor Ladický, Akihito Seki, Torsten Sattler, Christian Häne, Jan Dirk Wegner, Konrad Schindler and Timo Häckel and has published in prestigious journals such as Photogrammetric Engineering & Remote Sensing and arXiv (Cornell University).

In The Last Decade

Nikolay Savinov

7 papers receiving 319 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nikolay Savinov 274 136 45 43 31 7 330
Guoxin Zhang 220 0.8× 101 0.7× 41 0.9× 24 0.6× 29 0.9× 9 311
Yifeng Lu 223 0.8× 126 0.9× 40 0.9× 41 1.0× 52 1.7× 5 305
Daiyi Peng 230 0.8× 126 0.9× 54 1.2× 41 1.0× 53 1.7× 5 313
Scott Satkin 275 1.0× 111 0.8× 39 0.9× 43 1.0× 20 0.6× 11 321
M. Zuliani 284 1.0× 146 1.1× 40 0.9× 33 0.8× 31 1.0× 10 345
Haiyue Wei 174 0.6× 93 0.7× 24 0.5× 25 0.6× 25 0.8× 8 249
Klas Josephson 248 0.9× 168 1.2× 22 0.5× 23 0.5× 9 0.3× 9 296
Lue Fan 210 0.8× 111 0.8× 28 0.6× 35 0.8× 41 1.3× 11 281
Pau Gargallo 302 1.1× 140 1.0× 20 0.4× 38 0.9× 19 0.6× 14 351
Mu Hu 219 0.8× 112 0.8× 28 0.6× 20 0.5× 21 0.7× 9 315

Countries citing papers authored by Nikolay Savinov

Since Specialization
Citations

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

Fields of papers citing papers by Nikolay Savinov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolay Savinov

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolay Savinov. A scholar is included among the top collaborators of Nikolay Savinov 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 Nikolay Savinov. Nikolay Savinov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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