Ivan Sorokin

434 total citations
7 papers, 213 citations indexed

About

Ivan Sorokin is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ivan Sorokin has authored 7 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Signal Processing, 6 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Ivan Sorokin's work include Speech and Audio Processing (5 papers), Music and Audio Processing (4 papers) and Speech Recognition and Synthesis (4 papers). Ivan Sorokin is often cited by papers focused on Speech and Audio Processing (5 papers), Music and Audio Processing (4 papers) and Speech Recognition and Synthesis (4 papers). Ivan Sorokin collaborates with scholars based in Russia and France. Ivan Sorokin's co-authors include Yuri Khokhlov, Ivan Medennikov, Dmitry Popov and Natalia Tomashenko and has published in prestigious journals such as arXiv (Cornell University) and SPIRE - Sciences Po Institutional REpository.

In The Last Decade

Ivan Sorokin

7 papers receiving 186 citations

Peers

Ivan Sorokin
Upendra V. Chaudhari United States
Bobby Filar United States
Feargus Pendlebury United Kingdom
Ravi Sahita United States
Upendra V. Chaudhari United States
Ivan Sorokin
Citations per year, relative to Ivan Sorokin Ivan Sorokin (= 1×) peers Upendra V. Chaudhari

Countries citing papers authored by Ivan Sorokin

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Sorokin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Sorokin

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

All Works

7 of 7 papers shown
1.
Medennikov, Ivan, et al.. (2020). Target-Speaker Voice Activity Detection: A Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario. arXiv (Cornell University). 274–278. 116 indexed citations
2.
Khokhlov, Yuri, et al.. (2019). R-Vectors: New Technique for Adaptation to Room Acoustics. 1243–1247. 3 indexed citations
3.
Medennikov, Ivan, et al.. (2019). The STC ASR System for the VOiCES from a Distance Challenge 2019. 2453–2457. 6 indexed citations
4.
Medennikov, Ivan, et al.. (2018). The STC System for the CHiME 2018 Challenge. 1–5. 16 indexed citations
5.
Medennikov, Ivan, et al.. (2018). An Investigation of Mixup Training Strategies for Acoustic Models in ASR. SPIRE - Sciences Po Institutional REpository. 2903–2907. 18 indexed citations
6.
Sorokin, Ivan. (2015). Classification factored gated restricted Boltzmann machine. 118–123. 1 indexed citations
7.
Sorokin, Ivan. (2011). Comparing files using structural entropy. 7(4). 259–265. 53 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026