K. Yu. Gorbunov

485 total citations
31 papers, 200 citations indexed

About

K. Yu. Gorbunov is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, K. Yu. Gorbunov has authored 31 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 20 papers in Genetics and 12 papers in Artificial Intelligence. Recurrent topics in K. Yu. Gorbunov's work include Genome Rearrangement Algorithms (14 papers), DNA and Biological Computing (12 papers) and Algorithms and Data Compression (11 papers). K. Yu. Gorbunov is often cited by papers focused on Genome Rearrangement Algorithms (14 papers), DNA and Biological Computing (12 papers) and Algorithms and Data Compression (11 papers). K. Yu. Gorbunov collaborates with scholars based in Russia, Germany and Denmark. K. Yu. Gorbunov's co-authors include Vassily Lyubetsky, Reinhard Diestel, Carsten Thomassen, Tommy R. Jensen, А. В. Селиверстов, Mikhail S. Gelfand, Dmitry A. Rodionov, Olga N. Laikova, Ludmila Danilova and Eugène Asarin and has published in prestigious journals such as BMC Bioinformatics, BioMed Research International and Theoretical Computer Science.

In The Last Decade

K. Yu. Gorbunov

29 papers receiving 186 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Yu. Gorbunov Russia 7 106 84 81 47 31 31 200
Sylvain Guillemot France 8 89 0.8× 49 0.6× 88 1.1× 32 0.7× 35 1.1× 15 189
Marc Hellmuth Germany 10 183 1.7× 99 1.2× 137 1.7× 58 1.2× 48 1.5× 54 352
Ewa Kubicka United States 7 45 0.4× 31 0.4× 106 1.3× 31 0.7× 40 1.3× 20 232
Irena Rusu France 9 189 1.8× 243 2.9× 99 1.2× 116 2.5× 27 0.9× 45 365
Lee A. Newberg United States 10 225 2.1× 66 0.8× 39 0.5× 69 1.5× 20 0.6× 23 325
Janne H. Korhonen Finland 8 138 1.3× 38 0.5× 77 1.0× 64 1.4× 58 1.9× 20 325
Christian M. Reidys United States 7 160 1.5× 110 1.3× 79 1.0× 67 1.4× 19 0.6× 7 290
Boting Yang Canada 6 29 0.3× 25 0.3× 65 0.8× 17 0.4× 32 1.0× 28 115
H.-J. Bandelt Germany 10 135 1.3× 187 2.2× 135 1.7× 20 0.4× 35 1.1× 11 397
Riccardo Dondi Italy 11 178 1.7× 111 1.3× 44 0.5× 97 2.1× 20 0.6× 27 267

Countries citing papers authored by K. Yu. Gorbunov

Since Specialization
Citations

This map shows the geographic impact of K. Yu. Gorbunov'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 K. Yu. Gorbunov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Yu. Gorbunov more than expected).

Fields of papers citing papers by K. Yu. Gorbunov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Yu. Gorbunov. 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 K. Yu. Gorbunov. The network helps show where K. Yu. Gorbunov may publish in the future.

Co-authorship network of co-authors of K. Yu. Gorbunov

This figure shows the co-authorship network connecting the top 25 collaborators of K. Yu. Gorbunov. A scholar is included among the top collaborators of K. Yu. Gorbunov 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 K. Yu. Gorbunov. K. Yu. Gorbunov 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.
Gorbunov, K. Yu. & Vassily Lyubetsky. (2024). Algorithms for the Reconstruction of Genomic Structures with Proofs of Their Low Polynomial Complexity and High Exactness. Mathematics. 12(6). 817–817. 1 indexed citations
2.
Gorbunov, K. Yu. & Vassily Lyubetsky. (2023). Constructing an Evolutionary Tree and Path–Cycle Graph Evolution along It. Mathematics. 11(9). 2024–2024. 1 indexed citations
3.
Gorbunov, K. Yu., et al.. (2022). Detection and analysis of atypical stock transactions with possible misuse of insider information and market manipulation: methods and models. Procedia Computer Science. 213. 165–174. 2 indexed citations
4.
Gorbunov, K. Yu. & Vassily Lyubetsky. (2021). Multiplicatively Exact Algorithms for Transformation and Reconstruction of Directed Path-Cycle Graphs with Repeated Edges. Mathematics. 9(20). 2576–2576. 2 indexed citations
5.
Gorbunov, K. Yu. & Vassily Lyubetsky. (2020). An Almost Exact Linear Algorithm for Transformation of Chain-Cycle Graphs with Optimization of the Sum of Operation Costs. Doklady Mathematics. 102(2). 376–379.
6.
Gorbunov, K. Yu. & Vassily Lyubetsky. (2020). Linear Time Additively Exact Algorithm for Transformation of Chain-Cycle Graphs for Arbitrary Costs of Deletions and Insertions. Mathematics. 8(11). 2001–2001. 3 indexed citations
7.
Gorbunov, K. Yu. & Vassily Lyubetsky. (2018). A Linear Algorithm for Restructuring a Graph. 124–141. 1 indexed citations
8.
Gorbunov, K. Yu., et al.. (2017). Highly Conserved Elements and Chromosome Structure Evolution in Mitochondrial Genomes in Ciliates. Life. 7(1). 9–9. 4 indexed citations
9.
Lyubetsky, Vassily, et al.. (2017). Chromosome structures: reduction of certain problems with unequal gene content and gene paralogs to integer linear programming. BMC Bioinformatics. 18(1). 537–537. 9 indexed citations
10.
Lyubetsky, Vassily, et al.. (2016). Algorithms for reconstruction of chromosomal structures. BMC Bioinformatics. 17(1). 40–40. 10 indexed citations
11.
Gorbunov, K. Yu., et al.. (2014). Reconciliation of Gene and Species Trees. BioMed Research International. 2014. 1–22. 11 indexed citations
12.
Lyubetsky, Vassily, et al.. (2012). Cubic time algorithms of amalgamating gene trees and building evolutionary scenarios. Biology Direct. 7(1). 48–48. 4 indexed citations
13.
Gorbunov, K. Yu. & Vassily Lyubetsky. (2012). Fast algorithm to reconstruct a species supertree from a set of protein trees. Molecular Biology. 46(1). 161–167. 4 indexed citations
14.
Gorbunov, K. Yu. & Vassily Lyubetsky. (2011). The tree nearest on average to a given set of trees. Problems of Information Transmission. 47(3). 274–288. 4 indexed citations
15.
Gorbunov, K. Yu., Olga N. Laikova, Dmitry A. Rodionov, Mikhail S. Gelfand, & Vassily Lyubetsky. (2010). Evolution of Regulatory Motifs of Bacterial Transcription Factors. In Silico Biology. 10(3-4). 163–183. 5 indexed citations
16.
Gorbunov, K. Yu., et al.. (2010). The evolution of proline synthesis transcriptional regulation in gammaproteobacteria. Moscow University Biological Sciences Bulletin. 65(4). 211–212. 2 indexed citations
17.
Gorbunov, K. Yu. & Vassily Lyubetsky. (2007). Reconstruction of ancestral regulatory signals along a transcription factor tree. Molecular Biology. 41(5). 836–842. 6 indexed citations
18.
Danilova, Ludmila, et al.. (2001). Algorithm of Regulatory Signal Recognition in DNA Sequences. Molecular Biology. 35(6). 841–848. 2 indexed citations
19.
Diestel, Reinhard, Tommy R. Jensen, K. Yu. Gorbunov, & Carsten Thomassen. (1999). Highly Connected Sets and the Excluded Grid Theorem. Journal of Combinatorial Theory Series B. 75(1). 61–73. 78 indexed citations
20.
Gorbunov, K. Yu.. (1998). On a complexity of the formula (A ⋁ B) ⇒ C. Theoretical Computer Science. 207(2). 383–386. 1 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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