Mark G. Pleszkoch

48 total papers · 411 total citations
26 papers, 253 citations indexed

About

Mark G. Pleszkoch is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, Mark G. Pleszkoch has authored 26 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Information Systems and 11 papers in Software. Recurrent topics in Mark G. Pleszkoch's work include Software Engineering Research (11 papers), Advanced Malware Detection Techniques (9 papers) and Software Reliability and Analysis Research (8 papers). Mark G. Pleszkoch is often cited by papers focused on Software Engineering Research (11 papers), Advanced Malware Detection Techniques (9 papers) and Software Reliability and Analysis Research (8 papers). Mark G. Pleszkoch collaborates with scholars based in United States, Japan and Germany. Mark G. Pleszkoch's co-authors include Alan R. Hevner, R.C. Linger, William Gasarch, Richard C. Linger, Stacy Prowell, Gwendolyn H. Walton, Robert M Solovay, Raphael C. Pooser, Ryan S. Bennink and James Nutaro and has published in prestigious journals such as Decision Support Systems, IEEE Software and Physical review. A.

In The Last Decade

Mark G. Pleszkoch

24 papers receiving 222 citations

Author Peers

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

Author Last Decade Papers Cites
Mark G. Pleszkoch 141 127 103 60 56 26 253
Benjamin Bichsel 208 1.5× 161 1.3× 63 0.6× 31 0.5× 39 0.7× 14 324
Richard Bubel 183 1.3× 79 0.6× 125 1.2× 97 1.6× 37 0.7× 23 256
Shin-Cheng Mu 127 0.9× 64 0.5× 60 0.6× 46 0.8× 68 1.2× 26 181
Herbert Wiklicky 254 1.8× 46 0.4× 22 0.2× 98 1.6× 118 2.1× 44 315
Oksana Tkachuk 148 1.0× 100 0.8× 206 2.0× 107 1.8× 51 0.9× 26 298
Pascal Junod 180 1.3× 86 0.7× 38 0.4× 24 0.4× 35 0.6× 18 257
Mark Hills 122 0.9× 122 1.0× 52 0.5× 42 0.7× 34 0.6× 31 196
Wojciech Mostowski 166 1.2× 62 0.5× 90 0.9× 77 1.3× 36 0.6× 21 225
Mattias Ulbrich 115 0.8× 57 0.4× 91 0.9× 84 1.4× 31 0.6× 28 199
Amel Mammar 138 1.0× 112 0.9× 83 0.8× 70 1.2× 148 2.6× 31 295

Countries citing papers authored by Mark G. Pleszkoch

Since Specialization
Citations

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

Fields of papers citing papers by Mark G. Pleszkoch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark G. Pleszkoch. 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 Mark G. Pleszkoch. The network helps show where Mark G. Pleszkoch may publish in the future.

Co-authorship network of co-authors of Mark G. Pleszkoch

This figure shows the co-authorship network connecting the top 25 collaborators of Mark G. Pleszkoch. A scholar is included among the top collaborators of Mark G. Pleszkoch 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 Mark G. Pleszkoch. Mark G. Pleszkoch 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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