Alexey Sorokin
- Artificial Intelligence top 10%
- Information Systems
- Computer Vision and Pattern Recognition
- Molecular Biology
- Language and Linguistics
- Co-authors
- М. В. АрхиповYuri KuratovMikhail BurtsevА. В. СеливерстовTaras KhakhulinValentin MalykhVarvara LogachevaSvetlana Alexeeva
- Topics
- Topic Modeling (13 papers)Natural Language Processing Techniques (12 papers)Speech and dialogue systems (5 papers)
- Journals
- SustainabilityMoscow University Mathematics BulletinJournal of Linguistics/Jazykovedný casopis
- Partner nations
- RussiaTajikistan
In The Last Decade
Alexey Sorokin
13 papers receiving 164 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 160
- Information Systems 20
- Computer Vision and Pattern Recognition 17
- Molecular Biology 13
- Language and Linguistics 8
Countries citing papers authored by Alexey Sorokin
This map shows the geographic impact of Alexey 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 Alexey Sorokin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexey Sorokin more than expected).
Fields of papers citing papers by Alexey Sorokin
This network shows the impact of papers produced by Alexey 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 Alexey Sorokin. The network helps show where Alexey Sorokin may publish in the future.
Co-authorship network of co-authors of Alexey Sorokin
This figure shows the co-authorship network connecting the top 25 collaborators of Alexey Sorokin. A scholar is included among the top collaborators of Alexey 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 Alexey Sorokin. Alexey Sorokin 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 | 0 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 56 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 69 | |
| 11 | DeepPavlov: An Open Source Library for Conversational AI | 2 |
| 12 | 13 | |
| 13 | 3 | |
| 14 | MorphoRuEval-2017: an Evaluation Track for the Automatic Morphological Analysis Methods for Russian | 6 |
| 15 | SpellRuEval: the First Competition on Automatic Spelling Correction for Russian | 5 |
| 16 | 10 | |
| 17 | Automatic Classification of Web Texts Using Functional Text Dimensions | 2 |
About Alexey Sorokin
Alexey Sorokin is a scholar working on Artificial Intelligence, Physical Therapy, Sports Therapy and Rehabilitation and Computational Theory and Mathematics, having authored 17 papers that have together received 184 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Speech and dialogue systems (5 papers). The work is most often cited by research in Artificial Intelligence (160 citations), General Social Sciences (7 citations) and Information Systems (20 citations). Alexey Sorokin has collaborated with scholars based in Russia and Tajikistan. Frequent co-authors include М. В. Архипов, Yuri Kuratov, Mikhail Burtsev, А. В. Селиверстов, Taras Khakhulin, Valentin Malykh, Varvara Logacheva, Svetlana Alexeeva, Olga Lyashevskaya and Kira Droganova. Their work appears in journals such as Sustainability, Moscow University Mathematics Bulletin and Journal of Linguistics/Jazykovedný casopis.
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.