Jörg Kindermann
Impact in
- Artificial Intelligence top 2%
- Text and Document Classification Technologies
- Authorship Attribution and Profiling
- Topic Modeling
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Hate Speech and Cyberbullying Detection
- Information Systems top 5%
- Spam and Phishing Detection
- Web Data Mining and Analysis
Papers in
-
- Natural Language Processing Techniques 3
- Neural Networks and Applications 2
- Text and Document Classification Technologies 2
- Advanced Text Analysis Techniques 1
- Semantic Web and Ontologies 1
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- Video Analysis and Summarization 3
- Image Retrieval and Classification Techniques 2
- Co-authors
- Edda Leopold (6 shared papers)Gerhard Paaß (6 shared papers)Joachim Diederich (1 shared paper)Annemie Van der Linden (1 shared paper)T. Nießen (1 shared paper)Martin Swain (1 shared paper)Werner Dubitzky (1 shared paper)Vlado Stankovski (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (1 paper)Parallel Computing (1 paper)Computers & Graphics (1 paper)Machine Learning (1 paper)Future Generation Computer Systems (1 paper)
- Partner nations
- GermanyUnited KingdomAustralia
In The Last Decade
Jörg Kindermann
10 papers receiving 569 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 515
- Information Systems 226
- Computer Vision and Pattern Recognition 86
- Signal Processing 31
- Computer Networks and Communications 47
Countries citing papers authored by Jörg Kindermann
This map shows the geographic impact of Jörg Kindermann'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 Jörg Kindermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörg Kindermann more than expected).
Fields of papers citing papers by Jörg Kindermann
This network shows the impact of papers produced by Jörg Kindermann. 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 Jörg Kindermann. The network helps show where Jörg Kindermann may publish in the future.
Co-authors
The 16 scholars most cited alongside Jörg Kindermann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 279 | |
| 2 | 2003 | 218 | |
| 3 | 1990 | 54 | |
| 4 | 2007 | 46 | |
| 5 | 2019 | 19 | |
| 6 | Bayesian Query Construction for Neural Network Models | 1994 | 14 |
| 7 | Learning Prototype Ontologies by Hierachical Latent Semantic Analysis. | 2004 | 7 |
| 8 | 2002 | 4 | |
| 9 | 2004 | 2 | |
| 10 | 2003 | 2 | |
| 11 | 2024 | 0 |
About Jörg Kindermann
Jörg Kindermann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Computer Networks and Communications, having authored 11 papers that have together received 645 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Video Analysis and Summarization (3 papers), Neural Networks and Applications (2 papers), Text and Document Classification Technologies (2 papers), Image Retrieval and Classification Techniques (2 papers), Advanced Text Analysis Techniques (1 paper), Semantic Web and Ontologies (1 paper) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Artificial Intelligence (515 citations), Information Systems (226 citations), Computer Vision and Pattern Recognition (86 citations), Signal Processing (31 citations) and Computer Networks and Communications (47 citations). Jörg Kindermann has collaborated with scholars based in Germany, United Kingdom and Australia. Frequent co-authors include Edda Leopold, Gerhard Paaß, Joachim Diederich, Annemie Van der Linden, T. Nießen, Martin Swain, Werner Dubitzky, Vlado Stankovski, Çağatay Turkay and Gennady Andrienko. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Parallel Computing, Computers & Graphics, Machine Learning and Future Generation Computer Systems.
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.