Evgueni Smirnov
- Molecular Biology
- Artificial Intelligence
- Immunology
- Pulmonary and Respiratory Medicine
- Computational Theory and Mathematics
- Co-authors
- Ralf PeetersI.G. Sprinkhuizen-KuyperPieter GoossensErik A.L. BiessenShuang ZhouGregorio E. FazziJoël KarelStijn Vanderlooy
- Topics
- Machine Learning and Data Classification (9 papers)Anomaly Detection Techniques and Applications (6 papers)Time Series Analysis and Forecasting (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONECell Metabolism
- Partner nations
- NetherlandsGermanyUnited Kingdom
In The Last Decade
Evgueni Smirnov
26 papers receiving 168 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 55
- Artificial Intelligence 55
- Immunology 45
- Pulmonary and Respiratory Medicine 20
- Computational Theory and Mathematics 13
Countries citing papers authored by Evgueni Smirnov
This map shows the geographic impact of Evgueni 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 Evgueni Smirnov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evgueni Smirnov more than expected).
Fields of papers citing papers by Evgueni Smirnov
This network shows the impact of papers produced by Evgueni 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 Evgueni Smirnov. The network helps show where Evgueni Smirnov may publish in the future.
Co-authorship network of co-authors of Evgueni Smirnov
This figure shows the co-authorship network connecting the top 25 collaborators of Evgueni Smirnov. A scholar is included among the top collaborators of Evgueni 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 Evgueni Smirnov. Evgueni 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 35 | |
| 6 | 53 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | Conformal Prediction for Students’ Grades in a Course Recommender System | 1 |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | 0 | |
| 15 | Similarity Functions for Collaborative Master Recommendations. | 2 |
| 16 | 1 | |
| 17 | Image Mining for Intelligent Autonomous Coal Mining | 1 |
| 18 | Meta-Typicalness Approach to Reliable Classification | 3 |
| 19 | Version Space Support Vector Machines | 3 |
| 20 | 0 |
About Evgueni Smirnov
Evgueni Smirnov is a scholar working on Artificial Intelligence, Signal Processing and Computer Science Applications, having authored 35 papers that have together received 175 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (9 papers), Anomaly Detection Techniques and Applications (6 papers) and Time Series Analysis and Forecasting (6 papers). The work is most often cited by research in Immunology (45 citations), Artificial Intelligence (55 citations) and Health Informatics (2 citations). Evgueni Smirnov has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Ralf Peeters, I.G. Sprinkhuizen-Kuyper, Pieter Goossens, Erik A.L. Biessen, Shuang Zhou, Gregorio E. Fazzi, Joël Karel, Stijn Vanderlooy, Marion J. Gijbels and Barend Mees. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cell Metabolism.
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.