Karin Kailing
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
- Artificial Intelligence top 2%
- Advanced Clustering Algorithms Research
- Anomaly Detection Techniques and Applications
Papers in
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- Advanced Clustering Algorithms Research 6
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- Advanced Image and Video Retrieval Techniques 3
- Face and Expression Recognition 2
- Co-authors
- Peer Kröger (5 shared papers)Hans‐Peter Kriegel (7 shared papers)Christian Böhm (2 shared papers)H.-P. Kriegel (2 shared papers)Stefan Schönauer (5 shared papers)Arthur Zimek (1 shared paper)Alvin Cheung (2 shared papers)Thomas Seidl (1 shared paper)
- Journals
- Knowledge and Information Systems (1 paper)Lecture notes in computer science (4 papers)Datenbank-Spektrum (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Karin Kailing
14 papers receiving 791 citations
Peers
Comparison fields: 5 of 66
- Signal Processing 304
- Artificial Intelligence 587
- Computer Vision and Pattern Recognition 301
- Information Systems 273
- Media Technology 79
Countries citing papers authored by Karin Kailing
This map shows the geographic impact of Karin Kailing'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 Karin Kailing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Kailing more than expected).
Fields of papers citing papers by Karin Kailing
This network shows the impact of papers produced by Karin Kailing. 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 Karin Kailing. The network helps show where Karin Kailing may publish in the future.
Co-authors
The 19 scholars most cited alongside Karin Kailing, 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 | 2004 | 281 | |
| 2 | 2005 | 122 | |
| 3 | 2004 | 118 | |
| 4 | 2004 | 64 | |
| 5 | 2004 | 58 | |
| 6 | 2006 | 55 | |
| 7 | Discovery Services-Enabling RFID Traceability in EPCglobal Networks. | 2006 | 51 |
| 8 | 2005 | 50 | |
| 9 | 2003 | 41 | |
| 10 | 2007 | 23 | |
| 11 | 2004 | 9 | |
| 12 | 2006 | 4 | |
| 13 | Challenges and Trends in Information Management. | 2006 | 2 |
| 14 | Efficient Indexing of Complex Objects for Density-based Clustering | 2004 | 1 |
About Karin Kailing
Karin Kailing is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Molecular Biology and Signal Processing, having authored 14 papers that have together received 879 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (6 papers), Gene expression and cancer classification (5 papers), Data Management and Algorithms (5 papers), Advanced Database Systems and Queries (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), RFID technology advancements (2 papers), Bioinformatics and Genomic Networks (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Signal Processing (304 citations), Artificial Intelligence (587 citations), Computer Vision and Pattern Recognition (301 citations), Information Systems (273 citations) and Media Technology (79 citations). Karin Kailing has collaborated with scholars based in Germany and United States. Frequent co-authors include Peer Kröger, Hans‐Peter Kriegel, Christian Böhm, H.-P. Kriegel, Stefan Schönauer, Arthur Zimek, Alvin Cheung, Thomas Seidl, Alexey Pryakhin and Matthias Schubert. Their work appears in journals such as Knowledge and Information Systems, Lecture notes in computer science and Datenbank-Spektrum.
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.