Maksym Petrenko

15 total papers · 540 total citations
12 papers, 423 citations indexed

About

Maksym Petrenko is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Maksym Petrenko has authored 12 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 7 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Maksym Petrenko's work include Software Engineering Research (11 papers), Advanced Software Engineering Methodologies (6 papers) and Software System Performance and Reliability (3 papers). Maksym Petrenko is often cited by papers focused on Software Engineering Research (11 papers), Advanced Software Engineering Methodologies (6 papers) and Software System Performance and Reliability (3 papers). Maksym Petrenko collaborates with scholars based in United States. Maksym Petrenko's co-authors include Václav Rajlich, Andrian Marcus, Denys Poshyvanyk, Jan C. Buckner, Andrey Sergeyev, Dapeng Liu and Kyrylo Malakhov and has published in prestigious journals such as Computer, Information and Software Technology and Journal of Information & Knowledge Management.

In The Last Decade

Maksym Petrenko

12 papers receiving 398 citations

Author Peers

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

Author Last Decade Papers Cites
Maksym Petrenko 386 195 131 123 78 12 423
Lile Hattori 391 1.0× 132 0.7× 121 0.9× 118 1.0× 109 1.4× 19 418
Zijad Kurtanović 399 1.0× 97 0.5× 165 1.3× 70 0.6× 55 0.7× 9 488
Martín Nordio 288 0.7× 158 0.8× 70 0.5× 81 0.7× 77 1.0× 22 388
Silvia Breu 346 0.9× 150 0.8× 140 1.1× 106 0.9× 65 0.8× 18 383
Hazeline U. Asuncion 368 1.0× 139 0.7× 135 1.0× 84 0.7× 107 1.4× 25 455
S.E. Sim 366 0.9× 136 0.7× 181 1.4× 111 0.9× 60 0.8× 16 427
Amritanshu Agrawal 312 0.8× 213 1.1× 143 1.1× 94 0.8× 27 0.3× 14 417
T. Dinh-Trong 291 0.8× 254 1.3× 128 1.0× 98 0.8× 99 1.3× 10 446
DongGyun Han 407 1.1× 251 1.3× 124 0.9× 146 1.2× 57 0.7× 27 480
Leonardo Passos 387 1.0× 94 0.5× 324 2.5× 182 1.5× 39 0.5× 21 424

Countries citing papers authored by Maksym Petrenko

Since Specialization
Citations

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

Fields of papers citing papers by Maksym Petrenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maksym Petrenko

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