Fraunhofer Institute for Intelligent Analysis and Information Systems
Impact in
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- Geographic Information Systems Studies
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- Data Visualization and Analytics
Papers in
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- Data Management and Algorithms 162
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- Semantic Web and Ontologies 132
- Topic Modeling 116
- Natural Language Processing Techniques 96
- Top scholars
- Gennady AndrienkoNatalia V. AndrienkoChristian BauckhageStefan WrobelKristian KerstingHartmut SurmannThomas GärtnerAndreas Nuechter
- Journals
- Lecture notes in computer science (306 papers)IEEE Transactions on Visualization and Computer Graphics (18 papers)Machine Learning (14 papers)Visual Informatics (11 papers)Language Resources and Evaluation (9 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Fraunhofer Institute for Intelligent Analysis and Information Systems
1.3k papers receiving 29.7k citations
Peers
Comparison fields: 5 of 224
- Geography, Planning and Development 2.6k
- Computer Vision and Pattern Recognition 9.7k
- Transportation 2.8k
- Signal Processing 4.6k
- Artificial Intelligence 9.9k
Countries citing scholars working at Fraunhofer Institute for Intelligent Analysis and Information Systems
This map shows the geographic impact of research produced by authors working at Fraunhofer Institute for Intelligent Analysis and Information Systems. 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 Fraunhofer Institute for Intelligent Analysis and Information Systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fraunhofer Institute for Intelligent Analysis and Information Systems more than expected).
Fields of papers published by authors at Fraunhofer Institute for Intelligent Analysis and Information Systems
This network shows the impact of papers affiliated with Fraunhofer Institute for Intelligent Analysis and Information Systems 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 Fraunhofer Institute for Intelligent Analysis and Information Systems at the time of their publication.
About Fraunhofer Institute for Intelligent Analysis and Information Systems
In recent decades, authors affiliated with Fraunhofer Institute for Intelligent Analysis and Information Systems have published 1.5k papers, which have received a total of 31.5k indexed citations . Scholars at this organization have produced 215 papers in Signal Processing, 651 papers in Artificial Intelligence, 401 papers in Computer Vision and Pattern Recognition, 91 papers in Geography, Planning and Development and 74 papers in Transportation on the topics of Data Visualization and Analytics (165 papers), Data Management and Algorithms (162 papers), Semantic Web and Ontologies (132 papers), Topic Modeling (116 papers), Natural Language Processing Techniques (96 papers), Geographic Information Systems Studies (91 papers), Data Mining Algorithms and Applications (76 papers) and Data Quality and Management (73 papers). Their work is cited by papers focused on Geography, Planning and Development (2.6k citations), Computer Vision and Pattern Recognition (9.7k citations), Transportation (2.8k citations), Signal Processing (4.6k citations) and Artificial Intelligence (9.9k citations). Authors at Fraunhofer Institute for Intelligent Analysis and Information Systems collaborate with scholars in Germany, United Kingdom and United States and have published in prestigious journals including Lecture notes in computer science, IEEE Transactions on Visualization and Computer Graphics, Machine Learning, Visual Informatics and Language Resources and Evaluation. Some of Fraunhofer Institute for Intelligent Analysis and Information Systems's most productive authors include Gennady Andrienko, Natalia V. Andrienko, Christian Bauckhage, Stefan Wrobel, Kristian Kersting, Hartmut Surmann, Thomas Gärtner, Andreas Nuechter, Joachim Hertzberg and Daniel A. Keim.
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.