Martin Gogolla

338 total papers · 5.5k total citations
140 papers, 1.5k citations indexed

About

Martin Gogolla is a scholar working on Software, Artificial Intelligence and Information Systems. According to data from OpenAlex, Martin Gogolla has authored 140 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Software, 85 papers in Artificial Intelligence and 60 papers in Information Systems. Recurrent topics in Martin Gogolla's work include Model-Driven Software Engineering Techniques (103 papers), Advanced Software Engineering Methodologies (52 papers) and Service-Oriented Architecture and Web Services (34 papers). Martin Gogolla is often cited by papers focused on Model-Driven Software Engineering Techniques (103 papers), Advanced Software Engineering Methodologies (52 papers) and Service-Oriented Architecture and Web Services (34 papers). Martin Gogolla collaborates with scholars based in Germany, Spain and France. Martin Gogolla's co-authors include Mark Richters, Fabian Büttner, Mirco Kuhlmann, Uwe Hohenstein, Robert Wille, Hans-Dieter Ehrich, Antonio Vallecillo, Loli Burgueño, Mathias Soeken and Rolf Drechsler and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Knowledge and Data Engineering and ACM SIGMOD Record.

In The Last Decade

Martin Gogolla

127 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Martin Gogolla 1.0k 934 818 344 206 140 1.5k
Mehrdad Sabetzadeh 908 0.9× 1.0k 1.1× 1.4k 1.7× 291 0.8× 129 0.6× 98 2.2k
Hong Zhu 814 0.8× 535 0.6× 873 1.1× 469 1.4× 100 0.5× 141 1.6k
Richard F. Paige 1.2k 1.2× 941 1.0× 1.2k 1.5× 424 1.2× 117 0.6× 160 2.0k
Emmanuel Letier 726 0.7× 1.5k 1.6× 1.4k 1.7× 439 1.3× 241 1.2× 46 2.1k
Jean‐Marc Jezéquél 1.2k 1.2× 1.4k 1.5× 1.5k 1.8× 674 2.0× 113 0.5× 141 2.3k
Mehdi Jazayeri 707 0.7× 1.1k 1.2× 1.6k 2.0× 711 2.1× 152 0.7× 110 2.3k
Andy Schürr 990 1.0× 959 1.0× 849 1.0× 407 1.2× 132 0.6× 140 1.6k
Antonio Vallecillo 801 0.8× 1.0k 1.1× 1.1k 1.4× 536 1.6× 177 0.9× 147 1.9k
Martin Glinz 528 0.5× 858 0.9× 1.3k 1.6× 316 0.9× 58 0.3× 108 1.8k
C. Verhoef 747 0.7× 1.0k 1.1× 1.2k 1.5× 327 1.0× 264 1.3× 73 1.9k

Countries citing papers authored by Martin Gogolla

Since Specialization
Citations

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

Fields of papers citing papers by Martin Gogolla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Gogolla

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