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
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- Video Analysis and Summarization 3
- Image Retrieval and Classification Techniques 2
- Data Visualization and Analytics 1
- Co-authors
- Edda Leopold (6 shared papers)Gerhard Paaß (6 shared papers)Joachim Diederich (1 shared paper)Annemie Van der Linden (1 shared paper)Martin Swain (1 shared paper)Werner Dubitzky (1 shared paper)T. Nießen (1 shared paper)Vlado Stankovski (1 shared paper)
- Journals
- Applied Intelligence (1 paper)Future Generation Computer Systems (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)Parallel Computing (1 paper)Computers & Graphics (1 paper)
- Partner nations
- GermanyUnited KingdomSlovenia
In The Last Decade
Jörg Kindermann
10 papers receiving 571 citations
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 511
- Information Systems 224
- Computer Vision and Pattern Recognition 86
- Signal Processing 32
- Computer Networks and Communications 46
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 | 280 | |
| 2 | 2003 | 218 | |
| 3 | 1990 | 54 | |
| 4 | 2007 | 46 | |
| 5 | 2019 | 20 | |
| 6 | Bayesian Query Construction for Neural Network Models | 1994 | 14 |
| 7 | Learning Prototype Ontologies by Hierachical Latent Semantic Analysis. | 2004 | 6 |
| 8 | 2002 | 4 | |
| 9 | 2003 | 2 | |
| 10 | 2004 | 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 646 indexed citations. Recurring topics across this work include Video Analysis and Summarization (3 papers), Natural Language Processing Techniques (3 papers), Neural Networks and Applications (2 papers), Image Retrieval and Classification Techniques (2 papers), Text and Document Classification Technologies (2 papers), Spam and Phishing Detection (1 paper), Web Data Mining and Analysis (1 paper) and Data Visualization and Analytics (1 paper). The work is most often cited by research in Artificial Intelligence (511 citations), Information Systems (224 citations), Computer Vision and Pattern Recognition (86 citations), Signal Processing (32 citations) and Computer Networks and Communications (46 citations). Jörg Kindermann has collaborated with scholars based in Germany, United Kingdom and Slovenia. Frequent co-authors include Edda Leopold, Gerhard Paaß, Joachim Diederich, Annemie Van der Linden, Martin Swain, Werner Dubitzky, T. Nießen, Vlado Stankovski, Siming Chen and Olivier Thonnard. Their work appears in journals such as Applied Intelligence, Future Generation Computer Systems, IEEE Transactions on Visualization and Computer Graphics, Parallel Computing and Computers & Graphics.
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.