Michael Dorna

34 total papers · 471 total citations
26 papers, 188 citations indexed

About

Michael Dorna is a scholar working on Artificial Intelligence, Language and Linguistics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Dorna has authored 26 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 7 papers in Language and Linguistics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Dorna's work include Natural Language Processing Techniques (17 papers), Topic Modeling (8 papers) and linguistics and terminology studies (7 papers). Michael Dorna is often cited by papers focused on Natural Language Processing Techniques (17 papers), Topic Modeling (8 papers) and linguistics and terminology studies (7 papers). Michael Dorna collaborates with scholars based in Germany, Australia and Taiwan. Michael Dorna's co-authors include Wolfgang Minker, Gregor Behnke, Susanne Biundo, Matthias Kraus, Pascal Bercher, Birte Glimm, Sabine Schulte im Walde, Dominik Schlechtweg, Anette Frank and Josef van Genabith and has published in prestigious journals such as Language Resources and Evaluation, AI Communications and KI - Künstliche Intelligenz.

In The Last Decade

Michael Dorna

22 papers receiving 156 citations

Author Peers

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

Author Last Decade Papers Cites
Michael Dorna 170 23 20 10 9 26 188
Baden Hughes 166 1.0× 22 1.0× 8 0.4× 9 0.9× 7 0.8× 32 226
Susan Armstrong 203 1.2× 17 0.7× 6 0.3× 20 2.0× 12 1.3× 23 232
John Niekrasz 179 1.1× 10 0.4× 25 1.3× 17 1.7× 3 0.3× 21 214
Keith Suderman 244 1.4× 38 1.7× 6 0.3× 14 1.4× 9 1.0× 23 273
Maciej Ogrodniczuk 108 0.6× 24 1.0× 5 0.3× 7 0.7× 3 0.3× 35 149
Rubén Urizar 232 1.4× 40 1.7× 13 0.7× 14 1.4× 4 0.4× 15 265
Isa Maks 200 1.2× 11 0.5× 11 0.6× 6 0.6× 4 0.4× 18 229
Helena de Medeiros Caseli 203 1.2× 17 0.7× 8 0.4× 10 1.0× 2 0.2× 43 241
Roland Hausser 153 0.9× 59 2.6× 7 0.3× 2 0.2× 20 2.2× 33 212
Ilia Markov 204 1.2× 12 0.5× 17 0.8× 11 1.1× 2 0.2× 38 245

Countries citing papers authored by Michael Dorna

Since Specialization
Citations

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

Fields of papers citing papers by Michael Dorna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Dorna

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