Nina Kuchuk

87 total papers · 642 total citations
42 papers, 317 citations indexed

About

Nina Kuchuk is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Management Information Systems. According to data from OpenAlex, Nina Kuchuk has authored 42 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 15 papers in Control and Systems Engineering and 12 papers in Management Information Systems. Recurrent topics in Nina Kuchuk's work include Cybersecurity and Information Systems (20 papers), Advanced Data Processing Techniques (13 papers) and Information Systems and Technology Applications (12 papers). Nina Kuchuk is often cited by papers focused on Cybersecurity and Information Systems (20 papers), Advanced Data Processing Techniques (13 papers) and Information Systems and Technology Applications (12 papers). Nina Kuchuk collaborates with scholars based in Ukraine, Poland and Saudi Arabia. Nina Kuchuk's co-authors include Oleksii Nalapko, Amin Salih Mohammed, Heorhii Kuchuk, Andrii Shyshatskyi, Andriy Kovalenko, Олексій Коломійцев, Valentyn Sobchuk, Mehedi Masud, Sultan Aljahdali and V. Krishna Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Intelligent Automation & Soft Computing and Eastern-European Journal of Enterprise Technologies.

In The Last Decade

Nina Kuchuk

31 papers receiving 234 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nina Kuchuk 154 74 65 61 44 42 317
Serhii Yevseiev 171 1.1× 75 1.0× 58 0.9× 99 1.6× 44 1.0× 70 307
Valentyn Sobchuk 198 1.3× 77 1.0× 53 0.8× 50 0.8× 58 1.3× 53 255
Олександр Лаптєв 200 1.3× 91 1.2× 55 0.8× 57 0.9× 55 1.3× 46 288
Тамара Радівілова 157 1.0× 22 0.3× 75 1.2× 51 0.8× 132 3.0× 46 324
Роман Одарченко 152 1.0× 42 0.6× 31 0.5× 55 0.9× 54 1.2× 73 362
Yurii Kravchenko 283 1.8× 109 1.5× 49 0.8× 81 1.3× 111 2.5× 38 360
Lyudmyla Kirichenko 125 0.8× 16 0.2× 65 1.0× 28 0.5× 123 2.8× 39 275
Dmytro Ageyev 222 1.4× 37 0.5× 81 1.2× 54 0.9× 49 1.1× 52 344
Volodymyr Lytvynenko 18 0.1× 58 0.8× 32 0.5× 52 0.9× 76 1.7× 63 233
Mariya Nazarkevych 30 0.2× 91 1.2× 29 0.4× 95 1.6× 54 1.2× 50 244

Countries citing papers authored by Nina Kuchuk

Since Specialization
Citations

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

Fields of papers citing papers by Nina Kuchuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Kuchuk

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Kuchuk. A scholar is included among the top collaborators of Nina Kuchuk 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 Nina Kuchuk. Nina Kuchuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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