Boris Mirkin

6.4k total citations
94 papers, 3.1k citations indexed

About

Boris Mirkin is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Boris Mirkin has authored 94 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 18 papers in Computational Theory and Mathematics and 17 papers in Molecular Biology. Recurrent topics in Boris Mirkin's work include Advanced Clustering Algorithms Research (35 papers), Data Management and Algorithms (13 papers) and Data Mining Algorithms and Applications (12 papers). Boris Mirkin is often cited by papers focused on Advanced Clustering Algorithms Research (35 papers), Data Management and Algorithms (13 papers) and Data Mining Algorithms and Applications (12 papers). Boris Mirkin collaborates with scholars based in Russia, United Kingdom and United States. Boris Mirkin's 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 and has published in prestigious journals such as PLoS ONE, Technometrics and Current Biology.

In The Last Decade

Boris Mirkin

90 papers receiving 2.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Boris Mirkin Russia 24 1.2k 966 563 392 348 94 3.1k
Arlindo L. Oliveira Portugal 22 960 0.8× 1.6k 1.7× 333 0.6× 205 0.5× 377 1.1× 111 3.2k
Tijl De Bie Belgium 25 691 0.6× 1.6k 1.7× 436 0.8× 348 0.9× 294 0.8× 124 3.6k
Álex Rodríguez Italy 21 1.9k 1.6× 978 1.0× 1.1k 1.9× 505 1.3× 302 0.9× 70 4.8k
Zengyou He China 24 1.5k 1.3× 1.1k 1.2× 276 0.5× 392 1.0× 357 1.0× 94 3.1k
Michael R. Berthold Germany 25 1.2k 1.0× 1.1k 1.1× 470 0.8× 344 0.9× 552 1.6× 151 4.0k
Keith C. C. Chan Hong Kong 39 1.3k 1.2× 1.5k 1.5× 501 0.9× 283 0.7× 984 2.8× 230 4.9k
Asa Ben‐Hur United States 37 1.7k 1.5× 3.4k 3.5× 878 1.6× 290 0.7× 285 0.8× 79 7.0k
Nagiza F. Samatova United States 29 761 0.7× 1.3k 1.4× 241 0.4× 194 0.5× 253 0.7× 142 3.4k
Delbert Dueck Canada 6 1.9k 1.6× 834 0.9× 1.6k 2.8× 531 1.4× 386 1.1× 9 5.0k
Fernando J. Von Zuben Brazil 26 1.7k 1.5× 594 0.6× 371 0.7× 214 0.5× 175 0.5× 230 4.3k

Countries citing papers authored by Boris Mirkin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Mirkin, Boris, et al.. (2021). Least-squares community extraction in feature-rich networks using similarity data. PLoS ONE. 16(7). e0254377–e0254377. 3 indexed citations
2.
Ignatov, Dmitry I., et al.. (2016). A Lattice-based Consensus Clustering Algorithm. 45–56.
3.
Nascimento, Susana, et al.. (2013). Laplacian normalization for deriving thematic fuzzy clusters with an additive spectral approach. Expert Systems. 30(4). 294–305. 2 indexed citations
4.
Mirkin, Boris. (2011). Data analysis, mathematical statistics, machine learning, data mining: Similarities and differences. 1–8. 4 indexed citations
5.
Kuznetsov, Sergei O., Dominik Ślȩzak, Daryl H. Hepting, & Boris Mirkin. (2011). Rough sets, fuzzy sets, data mining and granular computing : 13th international conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011 : proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 5 indexed citations
6.
Mirkin, Boris, Susana Nascimento, Trevor Fenner, & Luı́s Moniz Pereira. (2010). Building Fuzzy Thematic Clusters and Mapping Them to Higher Ranks in a Taxonomy. BIROn (Birkbeck, University of London). 4(3). 257–275. 1 indexed citations
7.
Mirkin, Boris, et al.. (2005). A Suffix Tree Approach to Text Categorisation Applied to Spam Filtering. arXiv (Cornell University). 2 indexed citations
8.
Mirkin, Boris. (2005). Clustering For Data Mining: A Data Recovery Approach (Chapman & Hall/Crc Computer Science). 17(4). 642–646. 86 indexed citations
9.
Janowitz, M. F., François‐Joseph Lapointe, F.R. McMorris, Boris Mirkin, & Fred S. Roberts. (2003). Bioconsensus. 2 indexed citations
10.
Mirkin, Boris, Trevor Fenner, Michael Y. Galperin, & Eugene V. Koonin. (2003). Algorithms for computing parsimonious evolutionary scenarios for genome evolution, the last universal common ancestor and dominance of horizontal gene transfer in the evolution of prokaryotes. BMC Evolutionary Biology. 3(1). 2–2. 278 indexed citations
11.
Rogozin, Igor B., Vladimir N. Babenko, Natalie D. Fedorova, et al.. (2003). Evolution of Eukaryotic Gene Repertoire and Gene Structure: Discovering the Unexpected Dynamics of Genome Evolution. Cold Spring Harbor Symposia on Quantitative Biology. 68(0). 293–302. 5 indexed citations
12.
Rogozin, Igor B., Yuri I. Wolf, Alexander V. Sorokin, Boris Mirkin, & Eugene V. Koonin. (2003). Remarkable Interkingdom Conservation of Intron Positions and Massive, Lineage-Specific Intron Loss and Gain in Eukaryotic Evolution. Current Biology. 13(17). 1512–1517. 344 indexed citations
13.
Mirkin, Boris & Ilya Muchnik. (2002). Layered clusters of tightness set functions. Applied Mathematics Letters. 15(2). 147–151. 10 indexed citations
14.
Eulenstein, Oliver, Boris Mirkin, & Martin Vingron. (1998). Duplication-Based Measures of Difference Between Gene and Species Trees. Journal of Computational Biology. 5(1). 135–148. 30 indexed citations
15.
Mirkin, Boris, et al.. (1997). Mathematical Hierarchies and Biology. 53 indexed citations
16.
Mirkin, Boris, et al.. (1997). Mathematical hierarchies and biology : DIMACS workshop, November 13-15, 1996. American Mathematical Society eBooks. 1 indexed citations
17.
Mirkin, Boris, et al.. (1997). Monotone linkage clustering and quasi-concave set functions. Applied Mathematics Letters. 10(4). 19–24. 8 indexed citations
18.
Mirkin, Boris, Ilya Muchnik, & Temple F. Smith. (1995). A Biologically Meaningful Model for Comparing Molecular Phylogenies. Nanotechnology. 21(34). 345702–345702. 4 indexed citations
19.
Mirkin, Boris, Ilya Muchnik, & Temple F. Smith. (1995). A Biologically Consistent Model for Comparing Molecular Phylogenies. Journal of Computational Biology. 2(4). 493–507. 60 indexed citations
20.
Mirkin, Boris & Fred S. Roberts. (1993). Consensus functions and patterns in molecular sequences. Bulletin of Mathematical Biology. 55(4). 695–713. 7 indexed citations

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.

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