David P. Gluch

68 total papers · 1.6k total citations
37 papers, 688 citations indexed

About

David P. Gluch is a scholar working on Software, Artificial Intelligence and Information Systems. According to data from OpenAlex, David P. Gluch has authored 37 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Software, 14 papers in Artificial Intelligence and 13 papers in Information Systems. Recurrent topics in David P. Gluch's work include Software Reliability and Analysis Research (17 papers), Advanced Software Engineering Methodologies (12 papers) and Model-Driven Software Engineering Techniques (9 papers). David P. Gluch is often cited by papers focused on Software Reliability and Analysis Research (17 papers), Advanced Software Engineering Methodologies (12 papers) and Model-Driven Software Engineering Techniques (9 papers). David P. Gluch collaborates with scholars based in United States. David P. Gluch's co-authors include Peter H. Feiler, John Hudak, James E. Tomayko, David Garlan, Julien Delange, Andrew J. Kornecki, Bruce Lewis, Hong Liu, Borko Furht and John D. McGregor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

David P. Gluch

31 papers receiving 617 citations

Author Peers

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

Author Last Decade Papers Cites
David P. Gluch 292 284 209 202 161 37 688
Bernhard Schätz 345 1.2× 272 1.0× 133 0.6× 277 1.4× 112 0.7× 73 687
Peter Liggesmeyer 250 0.9× 143 0.5× 46 0.2× 178 0.9× 79 0.5× 68 596
Elsa L. Gunter 177 0.6× 335 1.2× 56 0.3× 184 0.9× 201 1.2× 48 645
Mark Nicholson 87 0.3× 207 0.7× 121 0.6× 92 0.5× 83 0.5× 31 685
István Majzik 406 1.4× 271 1.0× 75 0.4× 160 0.8× 259 1.6× 49 630
Juan Bicarregui 280 1.0× 284 1.0× 59 0.3× 235 1.2× 224 1.4× 40 635
Eunsuk Kang 151 0.5× 268 0.9× 55 0.3× 177 0.9× 115 0.7× 64 690
Hélène Waeselynck 327 1.1× 131 0.5× 37 0.2× 186 0.9× 89 0.6× 37 556
Jan Tretmans 604 2.1× 163 0.6× 115 0.6× 119 0.6× 407 2.5× 36 734
Daniel Sundmark 443 1.5× 116 0.4× 103 0.5× 426 2.1× 52 0.3× 76 726

Countries citing papers authored by David P. Gluch

Since Specialization
Citations

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

Fields of papers citing papers by David P. Gluch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David P. Gluch. 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 David P. Gluch. The network helps show where David P. Gluch may publish in the future.

Co-authorship network of co-authors of David P. Gluch

This figure shows the co-authorship network connecting the top 25 collaborators of David P. Gluch. A scholar is included among the top collaborators of David P. Gluch 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 David P. Gluch. David P. Gluch 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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