Roman Tkachenko

1.8k total citations
68 papers, 856 citations indexed

About

Roman Tkachenko is a scholar working on Artificial Intelligence, Management Information Systems and Control and Systems Engineering. According to data from OpenAlex, Roman Tkachenko has authored 68 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 19 papers in Management Information Systems and 16 papers in Control and Systems Engineering. Recurrent topics in Roman Tkachenko's work include Information Systems and Technology Applications (18 papers), Advanced Data Processing Techniques (14 papers) and Advanced Computational Techniques in Science and Engineering (13 papers). Roman Tkachenko is often cited by papers focused on Information Systems and Technology Applications (18 papers), Advanced Data Processing Techniques (14 papers) and Advanced Computational Techniques in Science and Engineering (13 papers). Roman Tkachenko collaborates with scholars based in Ukraine, Slovakia and Austria. Roman Tkachenko's co-authors include Ivan Izonin, Khrystyna Zub, Nataliia Lotoshynska, Natalia Kryvinska, Ivanna Dronyuk, Nataliya Shakhovska, Zoia Duriagina, Michal Greguš, Krishna Kant Singh and V. V. Kulyk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Roman Tkachenko

60 papers receiving 791 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roman Tkachenko Ukraine 18 281 113 110 102 92 68 856
Ivan Izonin Ukraine 20 405 1.4× 171 1.5× 147 1.3× 168 1.6× 162 1.8× 116 1.4k
Hany F. ElYamany Egypt 7 422 1.5× 78 0.7× 93 0.8× 291 2.9× 122 1.3× 15 1.1k
Mariam Elnour Qatar 11 197 0.7× 37 0.3× 185 1.7× 160 1.6× 55 0.6× 22 771
Liviu Miclea Romania 11 115 0.4× 33 0.3× 153 1.4× 157 1.5× 101 1.1× 129 703
Prashant Singh Rana India 16 200 0.7× 26 0.2× 37 0.3× 147 1.4× 79 0.9× 103 901
Ahmed Saeed AlGhamdi Saudi Arabia 16 154 0.5× 30 0.3× 61 0.6× 290 2.8× 127 1.4× 49 888
Dankan Gowda India 21 193 0.7× 39 0.3× 120 1.1× 186 1.8× 307 3.3× 137 1.3k
Wenjin Yu Australia 10 155 0.6× 52 0.5× 141 1.3× 61 0.6× 62 0.7× 16 599
Akash Tayal India 11 169 0.6× 44 0.4× 46 0.4× 57 0.6× 59 0.6× 29 680
V. Vinoth Kumar India 21 435 1.5× 22 0.2× 50 0.5× 101 1.0× 112 1.2× 75 1.1k

Countries citing papers authored by Roman Tkachenko

Since Specialization
Citations

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

Fields of papers citing papers by Roman Tkachenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Tkachenko

This figure shows the co-authorship network connecting the top 25 collaborators of Roman Tkachenko. A scholar is included among the top collaborators of Roman Tkachenko 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 Roman Tkachenko. Roman Tkachenko 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.
Izonin, Ivan, et al.. (2024). An Adaptation of the Input Doubling Method for Solving Classification Tasks in Case of Small Data Processing. Procedia Computer Science. 241. 171–178. 3 indexed citations
3.
4.
Izonin, Ivan, Athanasia K. Kazantzi, Roman Tkachenko, & Stergios-Aristoteles Mitoulis. (2024). GRNN-based cascade ensemble model for non-destructive damage state identification: small data approach. Engineering With Computers. 41(1). 723–738. 6 indexed citations
5.
Izonin, Ivan, et al.. (2024). Improvement of the ANN-Based Prediction Technology for Extremely Small Biomedical Data Analysis. SHILAP Revista de lepidopterología. 12(7). 112–112. 8 indexed citations
6.
Tkachenko, Roman, et al.. (2023). An Obstacle-Finding Approach for Autonomous Mobile Robots Using 2D LiDAR Data. Big Data and Cognitive Computing. 7(1). 43–43. 13 indexed citations
7.
Venkatesan, Vinoth Kumar, et al.. (2023). Efficient Data Preprocessing with Ensemble Machine Learning Technique for the Early Detection of Chronic Kidney Disease. Applied Sciences. 13(5). 2885–2885. 41 indexed citations
8.
Izonin, Ivan, et al.. (2023). A non-linear SVR-based cascade model for improving prediction accuracy of biomedical data analysis. Mathematical Biosciences & Engineering. 20(7). 13398–13414. 4 indexed citations
9.
Kulyk, V. V., Ivan Izonin, Roman Tkachenko, et al.. (2023). PREDICTION OF HARDNESS, FLEXURAL STRENGTH, AND FRACTURE TOUGHNESS OF ZRO2 BASED CERAMICS USING ENSEMBLE LEARNING ALGORITHMS. Acta Metallurgica Slovaca. 29(2). 93–103. 6 indexed citations
10.
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Izonin, Ivan, et al.. (2020). Addressing Medical Diagnostics Issues: Essential Aspects of the PNN-based Approach.. 209–218. 6 indexed citations
12.
Izonin, Ivan, et al.. (2020). An approach towards missing data management using improved GRNN-SGTM ensemble method. Engineering Science and Technology an International Journal. 24(3). 749–759. 50 indexed citations
13.
Tkachenko, Roman, et al.. (2019). Методи оброблення та заповнення пропущених параметрів у даних екологічного моніторингу. SHILAP Revista de lepidopterología. 29(6). 119–122. 1 indexed citations
14.
Tkachenko, Roman, et al.. (2019). Ансамбль мереж GRNN для розв'язання задач регресії з підвищеною точністю. SHILAP Revista de lepidopterología. 29(8). 120–124. 2 indexed citations
15.
Izonin, Ivan, et al.. (2019). An Extended-Input GRNN and its Application. Procedia Computer Science. 160. 578–583. 12 indexed citations
16.
Tkachenko, Roman, et al.. (2018). Piecewise-linear Approach for Medical Insurance Costs Prediction using SGTM Neural-Like Structure.. 170–179. 12 indexed citations
17.
Izonin, Ivan, et al.. (2018). Identification of IT Sector Stakeholder's Requirements to Masters Program in Information System in Lviv Region.. ICTERI. 429–437.
18.
Teslyuk, Vasyl, et al.. (2011). Implementation of neural networks for fuzzy and semistructured data. 350–352. 11 indexed citations
19.
Ткаченко, Павло Іванович, et al.. (2009). Features of the auto-associative neurolike structures of the geometrical transformation machine (GTM). 66–67. 6 indexed citations
20.
Tkachenko, Roman, et al.. (2002). Autoassociative neural networks in the tasks of multivariate data visualization. 115–120. 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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