Mikhail Tsitsvero
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Sergio BarbarossaPaolo Di LorenzoAndrey LyalinAlexander S. MikherdovTetsuya TaketsuguAlexei PreobrajenskiDavid A. DuncanMingoo Jin
- Topics
- Complex Network Analysis Techniques (2 papers)Machine Learning in Materials Science (2 papers)Advanced Graph Neural Networks (2 papers)
In The Last Decade
Mikhail Tsitsvero
6 papers receiving 254 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 183
- Statistical and Nonlinear Physics 128
- Computational Theory and Mathematics 41
- Computer Networks and Communications 39
- Computer Vision and Pattern Recognition 33
Countries citing papers authored by Mikhail Tsitsvero
This map shows the geographic impact of Mikhail Tsitsvero'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 Tsitsvero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Tsitsvero more than expected).
Fields of papers citing papers by Mikhail Tsitsvero
This network shows the impact of papers produced by Mikhail Tsitsvero. 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 Tsitsvero. The network helps show where Mikhail Tsitsvero may publish in the future.
Co-authorship network of co-authors of Mikhail Tsitsvero
This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Tsitsvero. A scholar is included among the top collaborators of Mikhail Tsitsvero 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 Tsitsvero. Mikhail Tsitsvero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 28 | |
| 6 | 215 |
About Mikhail Tsitsvero
Mikhail Tsitsvero is a scholar working on Computational Theory and Mathematics, Biophysics and Statistical and Nonlinear Physics, having authored 6 papers that have together received 259 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (2 papers), Machine Learning in Materials Science (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (128 citations), Computational Mathematics (4 citations) and Artificial Intelligence (183 citations). Mikhail Tsitsvero has collaborated with scholars based in Japan, Italy and Sweden. Frequent co-authors include Sergio Barbarossa, Paolo Di Lorenzo, Andrey Lyalin, Alexander S. Mikherdov, Tetsuya Taketsugu, Alexei Preobrajenski, David A. Duncan, Mingoo Jin, Jenny Pirillo and Tien‐Lin Lee. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and The Journal of Chemical Physics.
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.