Ivan Smirnov
- Artificial Intelligence top 10%
- Social Psychology
- Information Systems
- Applied Psychology
- Sociology and Political Science
- Co-authors
- Artem ShelmanovRoman SuvorovA. Yu. OvchinnikovVladimir SmirnovЕкатерина РахилинаLeyla S. Namazova-BaranovaЕlena A. VishnevaK. N. Yarygin
- Topics
- Natural Language Processing Techniques (10 papers)Topic Modeling (9 papers)Sentiment Analysis and Opinion Mining (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIFAC-PapersOnLineRetos
- Partner nations
- RussiaChileUnited Kingdom
In The Last Decade
Ivan Smirnov
35 papers receiving 165 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 109
- Social Psychology 59
- Information Systems 33
- Applied Psychology 32
- Sociology and Political Science 28
Countries citing papers authored by Ivan Smirnov
This map shows the geographic impact of Ivan Smirnov'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 Smirnov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Smirnov more than expected).
Fields of papers citing papers by Ivan Smirnov
This network shows the impact of papers produced by Ivan Smirnov. 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 Smirnov. The network helps show where Ivan Smirnov may publish in the future.
Co-authorship network of co-authors of Ivan Smirnov
This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Smirnov. A scholar is included among the top collaborators of Ivan Smirnov 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 Smirnov. Ivan Smirnov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | Fake news detection for the Russian language | 3 |
| 7 | 0 | |
| 8 | Depression Detection from Social Media Texts. | 8 |
| 9 | 14 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | Analysis of Big Five Personality Traits by Processing of Social Media Users Activity Features. | 6 |
| 15 | 40 | |
| 16 | 1 | |
| 17 | 10 | |
| 18 | 3 | |
| 19 | Social tension detection and intention recognition using natural language semantic analysis. | 4 |
| 20 | Linguistic Knowledge for Search Relevance Improvement | 1 |
About Ivan Smirnov
Ivan Smirnov is a scholar working on Health Informatics, Artificial Intelligence and General Social Sciences, having authored 44 papers that have together received 192 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Sentiment Analysis and Opinion Mining (7 papers). The work is most often cited by research in Applied Psychology (32 citations), Artificial Intelligence (109 citations) and Social Psychology (59 citations). Ivan Smirnov has collaborated with scholars based in Russia, Chile and United Kingdom. Frequent co-authors include Artem Shelmanov, Roman Suvorov, A. Yu. Ovchinnikov, Vladimir Smirnov, Екатерина Рахилина, Leyla S. Namazova-Baranova, Еlena A. Vishneva, K. N. Yarygin, К. В. Попов and Baranov Aa. Their work appears in journals such as SHILAP Revista de lepidopterología, IFAC-PapersOnLine and Retos.
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.