Mikhail Burtsev
- Artificial Intelligence top 5%
- Molecular Biology
- Sociology and Political Science
- Information Systems
- Computer Vision and Pattern Recognition
- Co-authors
- Peter TurchinJulia KiselevaAleksandr ChuklinYuri KuratovMohammad AliannejadiJeff DaltonVarvara LogachevaDanil Prokhorov
- Topics
- Topic Modeling (18 papers)Natural Language Processing Techniques (13 papers)Speech and dialogue systems (9 papers)
- Journals
- NatureNucleic Acids ResearchSHILAP Revista de lepidopterología
- Partner nations
- RussiaUnited KingdomUnited States
In The Last Decade
Mikhail Burtsev
45 papers receiving 418 citations
Peers
Comparison fields: 5 of 119
- Artificial Intelligence 230
- Molecular Biology 55
- Sociology and Political Science 44
- Information Systems 40
- Computer Vision and Pattern Recognition 40
Countries citing papers authored by Mikhail Burtsev
This map shows the geographic impact of Mikhail Burtsev'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 Mikhail Burtsev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Burtsev more than expected).
Fields of papers citing papers by Mikhail Burtsev
This network shows the impact of papers produced by Mikhail Burtsev. 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 Mikhail Burtsev. The network helps show where Mikhail Burtsev may publish in the future.
Co-authorship network of co-authors of Mikhail Burtsev
This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Burtsev. A scholar is included among the top collaborators of Mikhail Burtsev 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 Mikhail Burtsev. Mikhail Burtsev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 15 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 37 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 69 | |
| 15 | A new design for a green calcium indicator with a smaller size and a reduced number of calcium-binding sites | 1 |
| 16 | 1 | |
| 17 | 1 | |
| 18 | Learning drives the accumulation of adaptive complexity in simulated evolution. | 0 |
| 19 | Basic Principles of Adaptive Learning through Variation and Selection | 1 |
| 20 | An evolutionary agent-based model of pre-state warfare patterns: cross-cultural tests | 2 |
About Mikhail Burtsev
Mikhail Burtsev is a scholar working on Artificial Intelligence, Bioengineering and Electrochemistry, having authored 57 papers that have together received 459 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (13 papers) and Speech and dialogue systems (9 papers). The work is most often cited by research in Artificial Intelligence (230 citations), Health Informatics (7 citations) and Biophysics (21 citations). Mikhail Burtsev has collaborated with scholars based in Russia, United Kingdom and United States. Frequent co-authors include Peter Turchin, Julia Kiseleva, Aleksandr Chuklin, Yuri Kuratov, Mohammad Aliannejadi, Jeff Dalton, Varvara Logacheva, Danil Prokhorov, Alexey Sorokin and М. В. Архипов. Their work appears in journals such as Nature, Nucleic Acids Research and SHILAP Revista de lepidopterología.
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.