Nina Yevtushenko

242 total papers · 2.3k total citations
107 papers, 774 citations indexed

About

Nina Yevtushenko is a scholar working on Software, Computational Theory and Mathematics and Hardware and Architecture. According to data from OpenAlex, Nina Yevtushenko has authored 107 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Software, 45 papers in Computational Theory and Mathematics and 39 papers in Hardware and Architecture. Recurrent topics in Nina Yevtushenko's work include Software Testing and Debugging Techniques (65 papers), Formal Methods in Verification (42 papers) and VLSI and Analog Circuit Testing (36 papers). Nina Yevtushenko is often cited by papers focused on Software Testing and Debugging Techniques (65 papers), Formal Methods in Verification (42 papers) and VLSI and Analog Circuit Testing (36 papers). Nina Yevtushenko collaborates with scholars based in Russia, France and United Arab Emirates. Nina Yevtushenko's co-authors include Alexandre Petrenko, Khaled El‐Fakih, Ana Cavalli, Natalia Kushik, Tiziano Villa, Stéphane Maag, Robert K. Brayton, Adenilso Simão, A. Lebedev and Anindya Das and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Transactions on Software Engineering.

In The Last Decade

Nina Yevtushenko

92 papers receiving 701 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 Yevtushenko 555 332 263 200 120 107 774
Ofer Strichman 468 0.8× 486 1.5× 137 0.5× 415 2.1× 198 1.6× 59 850
Shengchao Qin 313 0.6× 333 1.0× 191 0.7× 438 2.2× 253 2.1× 96 893
Ana Cavalli 372 0.7× 170 0.5× 135 0.5× 147 0.7× 157 1.3× 81 643
Xavier Rival 396 0.7× 549 1.7× 269 1.0× 574 2.9× 183 1.5× 37 892
Jyotirmoy V. Deshmukh 375 0.7× 472 1.4× 159 0.6× 376 1.9× 104 0.9× 61 880
Rajeev Joshi 310 0.6× 209 0.6× 165 0.6× 294 1.5× 183 1.5× 30 671
Zvonimir Rakamarić 218 0.4× 250 0.8× 398 1.5× 155 0.8× 107 0.9× 42 704
Michaël Leuschel 397 0.7× 531 1.6× 183 0.7× 561 2.8× 149 1.2× 101 886
Alexandre David 361 0.7× 493 1.5× 208 0.8× 223 1.1× 110 0.9× 50 816
Peter Thiemann 167 0.3× 282 0.8× 212 0.8× 686 3.4× 262 2.2× 118 857

Countries citing papers authored by Nina Yevtushenko

Since Specialization
Citations

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

Fields of papers citing papers by Nina Yevtushenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Yevtushenko

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Yevtushenko. A scholar is included among the top collaborators of Nina Yevtushenko 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 Yevtushenko. Nina Yevtushenko 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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