German Research Centre for Artificial Intelligence

141.1k citations
8.3k papers ·

Impact in

Papers in

German Research Centre for Artificial Intelligence

7.6k papers receiving 141.1k citations

Peers

German Research Centre for Artificial Intelligence
Comparison fields: 5 of 240
  • Human-Computer Interaction 10.9k
  • Artificial Intelligence 43.5k
  • Computer Vision and Pattern Recognition 24.7k
  • Industrial and Manufacturing Engineering 8.1k
  • Information Systems 12.6k
Replace University of Mannheim with:
University of Mannheim Germany
Max Planck Institute for Informatics Germany
Fraunhofer-Gesellschaft Germany
Free University of Bozen-Bolzano Italy
Daimler (Germany) Germany
Hasso Plattner Institute Germany
Fondazione Bruno Kessler Italy
University of Passau Germany
Laboratoire Lorrain de Recherche en Informatique et ses Applications France
University of Klagenfurt Austria
German Research Centre for Artificial Intelligence relative to University of Mannheim Germany University of Mannheim's profile →
Citations per field
00.5×2×2.9×
University of Mannheim · 1×
Citations per year

Countries citing scholars working at German Research Centre for Artificial Intelligence

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at German Research Centre for Artificial Intelligence. 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 papers produced at German Research Centre for Artificial Intelligence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites German Research Centre for Artificial Intelligence more than expected).

Fields of papers published by authors at German Research Centre for Artificial Intelligence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with German Research Centre for Artificial Intelligence at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with German Research Centre for Artificial Intelligence at the time of their publication.

About German Research Centre for Artificial Intelligence

In recent decades, authors affiliated with German Research Centre for Artificial Intelligence have published 8.3k papers, which have received a total of 141.1k indexed citations . Scholars at this organization have produced 785 papers in Human-Computer Interaction, 3.1k papers in Artificial Intelligence, 1.4k papers in Computer Vision and Pattern Recognition, 323 papers in Industrial and Manufacturing Engineering and 164 papers in Software on the topics of Natural Language Processing Techniques (670 papers), Semantic Web and Ontologies (403 papers), Handwritten Text Recognition Techniques (334 papers), Speech and dialogue systems (317 papers), Interactive and Immersive Displays (297 papers), Context-Aware Activity Recognition Systems (265 papers), Business Process Modeling and Analysis (253 papers) and Logic, programming, and type systems (234 papers). Their work is cited by papers focused on Human-Computer Interaction (10.9k citations), Artificial Intelligence (43.5k citations), Computer Vision and Pattern Recognition (24.7k citations), Industrial and Manufacturing Engineering (8.1k citations) and Information Systems (12.6k citations). Authors at German Research Centre for Artificial Intelligence collaborate with scholars in Germany, United Kingdom and United States and have published in prestigious journals including Lecture notes in computer science, Language Resources and Evaluation, Sensors, IEEE Access and Journal of the Association for Information Systems. Some of German Research Centre for Artificial Intelligence's most productive authors include Andreas Dengel, Didier Stricker, Peter Fettke, Matthias Klusch, Antonio Krüger, Thomas Michael Breuel, Paul Lukowicz, Rolf Drechsler, Marcus Liwicki and Bernhard Nebel.

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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