Mirko Perkusich

111 total papers · 780 total citations
61 papers, 477 citations indexed

About

Mirko Perkusich is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Mirko Perkusich has authored 61 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Information Systems, 16 papers in Software and 14 papers in Computer Networks and Communications. Recurrent topics in Mirko Perkusich's work include Software Engineering Research (41 papers), Software Engineering Techniques and Practices (40 papers) and Software Reliability and Analysis Research (14 papers). Mirko Perkusich is often cited by papers focused on Software Engineering Research (41 papers), Software Engineering Techniques and Practices (40 papers) and Software Reliability and Analysis Research (14 papers). Mirko Perkusich collaborates with scholars based in Brazil, United States and Spain. Mirko Perkusich's co-authors include Ângelo Perkusich, Hyggo Almeida, Gustavo Soares, Kyller Gorgônio, Lenardo Chaves e Silva, Danilo F. S. Santos, Ana Silva, João Pedro Nunes, Emília Mendes and João Evangelista Bezerra Neto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Mirko Perkusich

53 papers receiving 459 citations

Author Peers

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

Author Last Decade Papers Cites
Mirko Perkusich 313 145 112 100 46 61 477
Guoping Rong 280 0.9× 164 1.1× 73 0.7× 72 0.7× 48 1.0× 62 441
Óscar Sanjuán Martínez 293 0.9× 121 0.8× 172 1.5× 58 0.6× 54 1.2× 49 535
Fatma Mili 325 1.0× 114 0.8× 247 2.2× 116 1.2× 51 1.1× 35 526
Roberto Verdecchia 263 0.8× 114 0.8× 114 1.0× 155 1.6× 26 0.6× 41 517
Ugrasen Suman 380 1.2× 144 1.0× 120 1.1× 72 0.7× 50 1.1× 63 504
Derrick G. Kourie 270 0.9× 105 0.7× 188 1.7× 64 0.6× 30 0.7× 71 538
Grischa Liebel 307 1.0× 92 0.6× 117 1.0× 156 1.6× 51 1.1× 40 467
Harvey M. Deitel 174 0.6× 134 0.9× 121 1.1× 36 0.4× 51 1.1× 60 487
Barry Boehm 306 1.0× 66 0.5× 73 0.7× 131 1.3× 59 1.3× 41 414
Christophe Ponsard 328 1.0× 146 1.0× 295 2.6× 138 1.4× 69 1.5× 80 541

Countries citing papers authored by Mirko Perkusich

Since Specialization
Citations

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

Fields of papers citing papers by Mirko Perkusich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirko Perkusich

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