Volodymyr Lytvynenko

640 total citations
63 papers, 238 citations indexed

About

Volodymyr Lytvynenko is a scholar working on Artificial Intelligence, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, Volodymyr Lytvynenko has authored 63 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 19 papers in Molecular Biology and 12 papers in Control and Systems Engineering. Recurrent topics in Volodymyr Lytvynenko's work include Gene expression and cancer classification (9 papers), Bayesian Modeling and Causal Inference (9 papers) and Gene Regulatory Network Analysis (8 papers). Volodymyr Lytvynenko is often cited by papers focused on Gene expression and cancer classification (9 papers), Bayesian Modeling and Causal Inference (9 papers) and Gene Regulatory Network Analysis (8 papers). Volodymyr Lytvynenko collaborates with scholars based in Ukraine, Czechia and Poland. Volodymyr Lytvynenko's co-authors include Sergii Babichev, Andrzej Smolarz, A. I. Kornelyuk, Konrad Gromaszek, Jiřı́ Škvor, Aleksandr Gozhyj, Waldemar Wójcik, S. Olszewski, Oleksii K. Tyshchenko and Sergii Pavlov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Data and International Journal of Intelligent Systems and Applications.

In The Last Decade

Volodymyr Lytvynenko

47 papers receiving 183 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Volodymyr Lytvynenko Ukraine 9 75 57 53 52 33 63 238
Sergii Babichev Ukraine 10 95 1.3× 55 1.0× 79 1.5× 26 0.5× 29 0.9× 37 237
Adrian Groza Romania 9 99 1.3× 14 0.2× 18 0.3× 38 0.7× 11 0.3× 65 239
José A. Castellanos-Garzón Spain 9 90 1.2× 10 0.2× 50 0.9× 40 0.8× 4 0.1× 15 224
Manuel I. Capel Spain 8 64 0.9× 38 0.7× 10 0.2× 31 0.6× 8 0.2× 46 221
Anders Arpteg Sweden 3 43 0.6× 18 0.3× 7 0.1× 28 0.5× 15 0.5× 7 186
Sania Anam Pakistan 6 77 1.0× 9 0.2× 12 0.2× 11 0.2× 12 0.4× 19 345
C. Rohith Bhat India 9 62 0.8× 14 0.2× 7 0.1× 44 0.8× 22 0.7× 40 268
Rogério Luís de C. Costa Portugal 9 81 1.1× 10 0.2× 9 0.2× 57 1.1× 12 0.4× 39 227
Dawn E. Holmes United States 7 115 1.5× 5 0.1× 19 0.4× 25 0.5× 15 0.5× 19 222
Andrew Lensen New Zealand 7 219 2.9× 8 0.1× 24 0.5× 21 0.4× 24 0.7× 22 340

Countries citing papers authored by Volodymyr Lytvynenko

Since Specialization
Citations

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

Fields of papers citing papers by Volodymyr Lytvynenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Volodymyr Lytvynenko

This figure shows the co-authorship network connecting the top 25 collaborators of Volodymyr Lytvynenko. A scholar is included among the top collaborators of Volodymyr Lytvynenko 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 Volodymyr Lytvynenko. Volodymyr Lytvynenko 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.
Olszewski, S., et al.. (2022). Digital Method of Automated Non-destructive Diagnostics for High-power Magnetron Resonator Blocks. International Journal of Image Graphics and Signal Processing. 14(1). 40–49. 1 indexed citations
2.
Lytvynenko, Volodymyr, et al.. (2021). Intelligent Information System for the Determination of Iron in Coagulants Based on a Neural Network.. 142–150. 4 indexed citations
3.
Lytvynenko, Volodymyr, et al.. (2020). Comparative Study of Noisy-MAX Nodes and General Nodes in Bayesian Network Models.. 56–66.
4.
Lytvynenko, Volodymyr, et al.. (2020). Modeling and Predicting the Organochlorine Pesticides Concentration in the Child's Body Based on their Accumulation in the Mother's Body.. 419–432. 2 indexed citations
5.
Lytvynenko, Volodymyr, et al.. (2020). Assessing the possibility of a country's economic growth using static bayesian network models. 2608. 462–473. 1 indexed citations
6.
Lytvynenko, Volodymyr, et al.. (2019). Using a Bayesian Network to Assess the Atmospheric Pollution Influence on Immunological Parameters.. 222–233.
7.
Lytvynenko, Volodymyr, et al.. (2019). Using Bayesian Methods for Predicting the Development of Children Autism. 525–529. 1 indexed citations
8.
Babichev, Sergii, et al.. (2018). Technology of Gene Expression Profiles Filtering Based on Wavelet Analysis. International Journal of Intelligent Systems and Applications. 10(4). 1–7. 6 indexed citations
9.
Lytvynenko, Volodymyr, et al.. (2018). Reconstruction of the S-System by the Hybrid Algorithm of the Clonal Selection and Differential Evolution. 41–51. 1 indexed citations
10.
Lytvynenko, Volodymyr, et al.. (2017). Parametric Identification of the S-System by the Modified Clonal Selection Algorithm. 43–53. 1 indexed citations
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Babichev, Sergii, Aleksandr Gozhyj, A. I. Kornelyuk, & Volodymyr Lytvynenko. (2017). Objective clustering inductive technology of gene expression profiles based on sota clustering algorithm. Biopolymers and Cell. 33(5). 379–392. 13 indexed citations
13.
Babichev, Sergii, et al.. (2017). Gene expression sequences clustering based on the internal and external clustering quality criteria. 91–94. 18 indexed citations
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Babichev, Sergii, et al.. (2016). Inductive model of data clustering based on the agglomerative hierarchical algorithm. 19–22. 11 indexed citations
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Babichev, Sergii, et al.. (2016). Computational analysis of microarray gene expression profiles of lung cancer. Biopolymers and Cell. 32(1). 70–79. 10 indexed citations
19.
Smolarz, Andrzej, et al.. (2014). THE PROBLEM OF COALITION FORMATION MODELLING. SHILAP Revista de lepidopterología. 4(4). 38–40.
20.
Wójcik, Waldemar, et al.. (2013). The use of inductive clustering algorithms for forming expert groups in large-scale innovation projects. Elektronika : konstrukcje, technologie, zastosowania. 54. 45–48. 2 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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