Ivan Medennikov

39 total papers · 451 total citations
12 papers, 237 citations indexed

About

Ivan Medennikov is a scholar working on Artificial Intelligence, Signal Processing and Molecular Biology. According to data from OpenAlex, Ivan Medennikov has authored 12 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Signal Processing and 1 paper in Molecular Biology. Recurrent topics in Ivan Medennikov's work include Speech Recognition and Synthesis (8 papers), Speech and Audio Processing (7 papers) and Music and Audio Processing (6 papers). Ivan Medennikov is often cited by papers focused on Speech Recognition and Synthesis (8 papers), Speech and Audio Processing (7 papers) and Music and Audio Processing (6 papers). Ivan Medennikov collaborates with scholars based in Russia and France. Ivan Medennikov's co-authors include Yuri Khokhlov, Ivan Sorokin, Dmitry Popov, Natalia Tomashenko, Yuri Matveev, Valentin Mendelev and Kelly Levin and has published in prestigious journals such as Sensors, arXiv (Cornell University) and Scientific and technical journal of information technologies mechanics and optics.

In The Last Decade

Ivan Medennikov

12 papers receiving 209 citations

Author Peers

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

Author Last Decade Papers Cites
Ivan Medennikov 217 185 8 6 6 12 237
Yuri Khokhlov 207 1.0× 182 1.0× 8 1.0× 3 0.5× 4 0.7× 15 222
Brendan Baker 268 1.2× 258 1.4× 9 1.1× 11 1.8× 9 1.5× 23 289
Murali Karthick Baskar 210 1.0× 156 0.8× 6 0.8× 7 1.2× 16 2.7× 21 238
Wei Xia 210 1.0× 193 1.0× 9 1.1× 14 2.3× 13 2.2× 19 247
Sree Hari Krishnan Parthasarathi 159 0.7× 148 0.8× 10 1.3× 16 2.7× 9 1.5× 17 189
Ivan Sorokin 174 0.8× 184 1.0× 7 0.9× 7 1.2× 2 0.3× 7 211
Guoli Ye 206 0.9× 155 0.8× 4 0.5× 8 1.3× 8 1.3× 14 219
Prashant Sridhar 271 1.2× 258 1.4× 24 3.0× 16 2.7× 7 1.2× 12 330
Changhao Shan 250 1.2× 180 1.0× 6 0.8× 29 4.8× 5 0.8× 10 287
Deyi Tuo 156 0.7× 164 0.9× 19 2.4× 18 3.0× 3 0.5× 10 196

Countries citing papers authored by Ivan Medennikov

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Medennikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Medennikov

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Medennikov. A scholar is included among the top collaborators of Ivan Medennikov 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 Ivan Medennikov. Ivan Medennikov 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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