Vladimir Ulyantsev

796 total citations
40 papers, 381 citations indexed

About

Vladimir Ulyantsev is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Vladimir Ulyantsev has authored 40 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 13 papers in Computational Theory and Mathematics and 12 papers in Molecular Biology. Recurrent topics in Vladimir Ulyantsev's work include Machine Learning and Algorithms (11 papers), Formal Methods in Verification (10 papers) and Gut microbiota and health (9 papers). Vladimir Ulyantsev is often cited by papers focused on Machine Learning and Algorithms (11 papers), Formal Methods in Verification (10 papers) and Gut microbiota and health (9 papers). Vladimir Ulyantsev collaborates with scholars based in Russia, Finland and United States. Vladimir Ulyantsev's co-authors include Alexander Tyakht, Fedor Tsarev, Anatoly Shalyto, Dmitry Alexeev, Veronika Dubinkina, Pavel Dobrynin, Ekaterina Noskova, Stephen J. O’Brien, Klaus‐Peter Koepfli and Dmitry Ischenko and has published in prestigious journals such as Bioinformatics, Frontiers in Microbiology and BMC Bioinformatics.

In The Last Decade

Vladimir Ulyantsev

38 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vladimir Ulyantsev Russia 11 127 93 74 63 58 40 381
Andreas Spillner Germany 12 195 1.5× 52 0.6× 58 0.8× 166 2.6× 43 0.7× 57 480
David B. Knoester United States 14 174 1.4× 184 2.0× 34 0.5× 225 3.6× 66 1.1× 29 662
Gianluca Della Vedova Italy 15 526 4.1× 214 2.3× 50 0.7× 192 3.0× 70 1.2× 68 801
Mareike Fischer Germany 10 89 0.7× 42 0.5× 29 0.4× 62 1.0× 16 0.3× 42 287
Swarup Roy India 12 231 1.8× 61 0.7× 70 0.9× 7 0.1× 16 0.3× 57 465
Pabitra Pal Choudhury India 15 244 1.9× 76 0.8× 156 2.1× 9 0.1× 35 0.6× 50 523
Roman Kolpakov Russia 9 355 2.8× 330 3.5× 187 2.5× 91 1.4× 31 0.5× 46 639
José C. Valverde Spain 14 184 1.4× 47 0.5× 251 3.4× 57 0.9× 8 0.1× 53 489
M. Venkatesulu India 9 116 0.9× 117 1.3× 33 0.4× 122 1.9× 43 0.7× 41 480
Nataša Jonoska United States 14 417 3.3× 97 1.0× 154 2.1× 11 0.2× 55 0.9× 68 577

Countries citing papers authored by Vladimir Ulyantsev

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Ulyantsev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vladimir Ulyantsev. 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 Vladimir Ulyantsev. The network helps show where Vladimir Ulyantsev may publish in the future.

Co-authorship network of co-authors of Vladimir Ulyantsev

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Ulyantsev. A scholar is included among the top collaborators of Vladimir Ulyantsev 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 Vladimir Ulyantsev. Vladimir Ulyantsev 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.
2.
Ulyantsev, Vladimir, et al.. (2024). Systemic metabolic depletion of gut microbiome undermines responsiveness to melanoma immunotherapy. Life Science Alliance. 7(5). e202302480–e202302480. 2 indexed citations
3.
Olekhnovich, Evgenii I., et al.. (2023). Consistent Stool Metagenomic Biomarkers Associated with the Response To Melanoma Immunotherapy. mSystems. 8(2). e0102322–e0102322. 6 indexed citations
4.
Noskova, Ekaterina, et al.. (2022). GADMA2: more efficient and flexible demographic inference from genetic data. GigaScience. 12. 17 indexed citations
5.
Sigurðsson, Helgi, Valerii K. Kozin, Ivan Iorsh, et al.. (2022). Machine learning of phase transitions in nonlinear polariton lattices. Communications Physics. 5(1). 14 indexed citations
6.
Churakov, Gennady, et al.. (2022). A 4-lineage Statistical Suite to Evaluate the Support of Large-Scale Retrotransposon Insertion Data to Reconstruct Evolutionary Trees. Systematic Biology. 72(3). 649–661. 4 indexed citations
7.
Baryshnikova, Kseniia V., et al.. (2021). Multipole optimization of light focusing by silicon nanosphere structures. Journal of the Optical Society of America B. 38(10). 3009–3009. 7 indexed citations
8.
9.
Noskova, Ekaterina, Vladimir Ulyantsev, Klaus‐Peter Koepfli, Stephen J. O’Brien, & Pavel Dobrynin. (2020). GADMA: Genetic algorithm for inferring demographic history of multiple populations from allele frequency spectrum data. GigaScience. 9(3). 52 indexed citations
10.
Ulyantsev, Vladimir, et al.. (2019). Function Block Finite-State Model Identification Using SAT and CSP Solvers. IEEE Transactions on Industrial Informatics. 15(8). 4558–4568. 6 indexed citations
11.
Olekhnovich, Evgenii I., et al.. (2017). MetaCherchant: analyzing genomic context of antibiotic resistance genes in gut microbiota. Bioinformatics. 34(3). 434–444. 20 indexed citations
12.
Ulyantsev, Vladimir, et al.. (2017). Plant trace generation for formal plant model inference: Methods and case study. 10. 746–752. 1 indexed citations
13.
Ulyantsev, Vladimir, et al.. (2017). CSP-based inference of function block finite-state models from execution traces. 714–719. 4 indexed citations
14.
Ulyantsev, Vladimir, С. В. Казаков, Veronika Dubinkina, Alexander Tyakht, & Dmitry Alexeev. (2016). MetaFast: fast reference-free graph-based comparison of shotgun metagenomic data. Bioinformatics. 32(18). 2760–2767. 30 indexed citations
15.
Dubinkina, Veronika, Dmitry Ischenko, Vladimir Ulyantsev, Alexander Tyakht, & Dmitry Alexeev. (2016). Assessment of k-mer spectrum applicability for metagenomic dissimilarity analysis. BMC Bioinformatics. 17(1). 38–38. 46 indexed citations
16.
Ulyantsev, Vladimir, et al.. (2013). Search-based construction of finite-state machines with real-valued actions. 199–200. 4 indexed citations
17.
Ulyantsev, Vladimir, et al.. (2013). Solving Five Instances of the Artificial Ant Problem with Ant Colony Optimization. IFAC Proceedings Volumes. 46(9). 1043–1048. 3 indexed citations
18.
Ulyantsev, Vladimir, et al.. (2013). MuACOsm. 511–518. 16 indexed citations
19.
20.
Ulyantsev, Vladimir & Fedor Tsarev. (2011). Extended Finite-State Machine Induction Using SAT-Solver. 346–349. 24 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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