Martin Erwig

176 total papers · 3.8k total citations
116 papers, 2.0k citations indexed

About

Martin Erwig is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, Martin Erwig has authored 116 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 39 papers in Information Systems and 37 papers in Software. Recurrent topics in Martin Erwig's work include Software Engineering Research (37 papers), Logic, programming, and type systems (31 papers) and Advanced Software Engineering Methodologies (22 papers). Martin Erwig is often cited by papers focused on Software Engineering Research (37 papers), Logic, programming, and type systems (31 papers) and Advanced Software Engineering Methodologies (22 papers). Martin Erwig collaborates with scholars based in United States, Germany and Portugal. Martin Erwig's co-authors include Robin Abraham, Markus Schneider, Eric Walkingshaw, Michalis Vazirgiannis, Margaret Burnett, Sheng Chen, Henry Lieberman, Joseph Lawrance, Mary Beth Rosson and Amy J. Ko and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and IEEE Transactions on Software Engineering.

In The Last Decade

Martin Erwig

109 papers receiving 1.9k citations

Hit Papers

The state of the art in e... 2011 2026 2016 2021 2011 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Martin Erwig 860 631 626 564 456 116 2.0k
Filomena Ferrucci 1.0k 1.2× 487 0.8× 1.7k 2.7× 447 0.8× 268 0.6× 169 2.3k
D Barstow 302 0.4× 1.5k 2.4× 516 0.8× 479 0.8× 77 0.2× 105 2.6k
Swapna S. Gokhale 1.3k 1.6× 439 0.7× 1.2k 1.9× 709 1.3× 94 0.2× 189 2.2k
Bruce W. Weide 243 0.3× 744 1.2× 739 1.2× 305 0.5× 232 0.5× 90 1.6k
Steven L. Tanimoto 84 0.1× 266 0.4× 165 0.3× 278 0.5× 157 0.3× 97 1.9k
Juris Hartmanis 85 0.1× 893 1.4× 274 0.4× 422 0.7× 186 0.4× 72 2.3k
Fabian Beck 117 0.1× 534 0.8× 394 0.6× 188 0.3× 233 0.5× 88 1.7k
Pedro Szekely 104 0.1× 688 1.1× 439 0.7× 678 1.2× 152 0.3× 111 1.7k
Soyeon Park 934 1.1× 716 1.1× 1.2k 1.9× 1.4k 2.5× 182 0.4× 80 2.7k
Romain Robbes 1.5k 1.8× 988 1.6× 2.9k 4.6× 920 1.6× 336 0.7× 97 3.3k

Countries citing papers authored by Martin Erwig

Since Specialization
Citations

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

Fields of papers citing papers by Martin Erwig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Erwig

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