Valery Solovyev
- Artificial Intelligence top 10%
- Cultural Studies top 5%
- Language and Linguistics top 10%
- Experimental and Cognitive Psychology
- Computational Theory and Mathematics
- Co-authors
- Vladimir IvanovMarina I. SolnyshkinaLaura A. JandaV. V. BochkarevSøren WichmannIldar BatyrshinDanielle S. McNamaraLuis Alfonso Villa‐Vargas
- Topics
- Natural Language Processing Techniques (15 papers)Advanced Text Analysis Techniques (11 papers)Topic Modeling (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessNeurocomputing
- Partner nations
- RussiaMexicoUnited States
In The Last Decade
Valery Solovyev
45 papers receiving 327 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 168
- Cultural Studies 55
- Language and Linguistics 51
- Experimental and Cognitive Psychology 37
- Computational Theory and Mathematics 30
Countries citing papers authored by Valery Solovyev
This map shows the geographic impact of Valery Solovyev'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 Valery Solovyev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valery Solovyev more than expected).
Fields of papers citing papers by Valery Solovyev
This network shows the impact of papers produced by Valery Solovyev. 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 Valery Solovyev. The network helps show where Valery Solovyev may publish in the future.
Co-authorship network of co-authors of Valery Solovyev
This figure shows the co-authorship network connecting the top 25 collaborators of Valery Solovyev. A scholar is included among the top collaborators of Valery Solovyev 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 Valery Solovyev. Valery Solovyev 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | Text Complexity and Abstractness: Tools for the Russian Language. | 2 |
| 13 | Linguistic Big Data: Problem of Purity and Representativeness. | 1 |
| 14 | 11 | |
| 15 | Characterizing Text Complexity with Core Vocabulary Distributional Patterns: Corpus-based Approach. | 1 |
| 16 | 12 | |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 17 | |
| 20 | 9 |
About Valery Solovyev
Valery Solovyev is a scholar working on Cultural Studies, General Social Sciences and Artificial Intelligence, having authored 54 papers that have together received 348 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (15 papers), Advanced Text Analysis Techniques (11 papers) and Topic Modeling (10 papers). The work is most often cited by research in Cultural Studies (55 citations), Artificial Intelligence (168 citations) and General Social Sciences (17 citations). Valery Solovyev has collaborated with scholars based in Russia, Mexico and United States. Frequent co-authors include Vladimir Ivanov, Marina I. Solnyshkina, Laura A. Janda, V. V. Bochkarev, Søren Wichmann, Ildar Batyrshin, Danielle S. McNamara, Luis Alfonso Villa‐Vargas, А. М. Елизаров and Boris B. Velichkovsky. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Neurocomputing.
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.