Michael Dorna

471 citations
26 papers · 188 · h-index 10

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems
    • AI-based Problem Solving and Planning
    • Semantic Web and Ontologies
    • Multi-Agent Systems and Negotiation
    • AI in Service Interactions
    • Advanced Text Analysis Techniques

Papers in

    • Natural Language Processing Techniques 17
    • Topic Modeling 8
    • Speech and dialogue systems 6
    • Semantic Web and Ontologies 4
    • Multi-Agent Systems and Negotiation 3
    • AI in Service Interactions 3
    • linguistics and terminology studies 7

Michael Dorna

22 papers receiving 156 citations

Peers

Michael Dorna
Comparison fields: 5 of 32
  • Artificial Intelligence 172
  • Language and Linguistics 23
  • Software 7
  • Human-Computer Interaction 9
  • Social Psychology 20
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Citations per field
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Citations per year

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-authors

The 16 scholars most cited alongside Michael Dorna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Dorna Line = papers co-authored together Michael Dorna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199624
2 199817
3 202014
4 201914
5 202012
6 199611
7 202110
8 201810
9
Maschinelle und computergestützte Übersetzung
20049
10 19989
11 19988
12 19968
13 20208
14
Evaluating noise reduction strategies for terminology extraction
20157
15 20177
16 20175
17 19983
18
Acquisition of semantic relations between terms: how far can we get with standard NLP tools?
20163
19 19982
20
A Domain-Specific Dataset of Difficulty Ratings for German Noun Compounds in the Domains DIY, Cooking and Automotive
20202

About Michael Dorna

Michael Dorna is a scholar working on Artificial Intelligence, Language and Linguistics, Computer Vision and Pattern Recognition, Human-Computer Interaction and Molecular Biology, having authored 26 papers that have together received 188 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (17 papers), Topic Modeling (8 papers), linguistics and terminology studies (7 papers), Speech and dialogue systems (6 papers), Semantic Web and Ontologies (4 papers), Context-Aware Activity Recognition Systems (3 papers), Multi-Agent Systems and Negotiation (3 papers) and AI in Service Interactions (3 papers). The work is most often cited by research in Artificial Intelligence (172 citations), Language and Linguistics (23 citations), Software (7 citations), Human-Computer Interaction (9 citations) and Social Psychology (20 citations). Michael Dorna has collaborated with scholars based in Germany, Australia and Taiwan. Frequent co-authors include Wolfgang Minker, Pascal Bercher, Gregor Behnke, Matthias Kraus, Birte Glimm, Susanne Biundo, Sabine Schulte im Walde, Josef van Genabith, Ulrich Heid and Anette Frank. Their work appears in journals such as Language Resources and Evaluation, KI - Künstliche Intelligenz, AI Communications, ANU Open Research (Australian National University) and OPUS (Augsburg University).

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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