Boris Mirkin
- Artificial Intelligence top 1%
- Molecular Biology top 10%
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 2%
- Information Systems top 2%
- Co-authors
- Eugene V. KooninRenato Cordeiro de AmorimTrevor FennerMichael Y. GalperinYuri I. WolfAlexander V. SorokinIgor B. RogozinSusana Nascimento
- Topics
- Advanced Clustering Algorithms Research (35 papers)Data Management and Algorithms (13 papers)Data Mining Algorithms and Applications (12 papers)
- Journals
- PLoS ONETechnometricsCurrent Biology
- Partner nations
- RussiaUnited KingdomUnited States
In The Last Decade
Boris Mirkin
90 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 184
- Artificial Intelligence 1.2k
- Molecular Biology 966
- Computer Vision and Pattern Recognition 563
- Signal Processing 392
- Information Systems 348
Countries citing papers authored by Boris Mirkin
This map shows the geographic impact of Boris Mirkin'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 Boris Mirkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boris Mirkin more than expected).
Fields of papers citing papers by Boris Mirkin
This network shows the impact of papers produced by Boris Mirkin. 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 Boris Mirkin. The network helps show where Boris Mirkin may publish in the future.
Co-authorship network of co-authors of Boris Mirkin
This figure shows the co-authorship network connecting the top 25 collaborators of Boris Mirkin. A scholar is included among the top collaborators of Boris Mirkin 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 Boris Mirkin. Boris Mirkin 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 | A Lattice-based Consensus Clustering Algorithm | 0 |
| 3 | 2 | |
| 4 | Data analysis, mathematical statistics, machine learning, data mining: Similarities and differences | 4 |
| 5 | 5 | |
| 6 | Building Fuzzy Thematic Clusters and Mapping Them to Higher Ranks in a Taxonomy | 1 |
| 7 | A Suffix Tree Approach to Text Categorisation Applied to Spam Filtering | 2 |
| 8 | 86 | |
| 9 | 2 | |
| 10 | 278 | |
| 11 | 5 | |
| 12 | 344 | |
| 13 | 10 | |
| 14 | 30 | |
| 15 | 53 | |
| 16 | Mathematical hierarchies and biology : DIMACS workshop, November 13-15, 1996 | 1 |
| 17 | 8 | |
| 18 | 4 | |
| 19 | 60 | |
| 20 | 7 |
About Boris Mirkin
Boris Mirkin is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics, having authored 94 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (35 papers), Data Management and Algorithms (13 papers) and Data Mining Algorithms and Applications (12 papers). The work is most often cited by research in Signal Processing (392 citations), Artificial Intelligence (1.2k citations) and Computer Vision and Pattern Recognition (563 citations). Boris Mirkin has collaborated with scholars based in Russia, United Kingdom and United States. Frequent co-authors include Eugene V. Koonin, Renato Cordeiro de Amorim, Trevor Fenner, Michael Y. Galperin, Yuri I. Wolf, Alexander V. Sorokin, Igor B. Rogozin, Susana Nascimento, Ilya Muchnik and Ito Wasito. Their work appears in journals such as PLoS ONE, Technometrics and Current Biology.
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.