Peer Kröger
Impact in
- Signal Processing top 0.5%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
- Artificial Intelligence top 0.5%
- Advanced Clustering Algorithms Research
- Anomaly Detection Techniques and Applications
- Data Stream Mining Techniques
Papers in
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- Advanced Clustering Algorithms Research 28
- Anomaly Detection Techniques and Applications 10
- Algorithms and Data Compression 8
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- Data Management and Algorithms 47
- Time Series Analysis and Forecasting 8
- Co-authors
- Hans‐Peter Kriegel (41 shared papers)Arthur Zimek (22 shared papers)Jörg Sander (5 shared papers)Erich Schubert (6 shared papers)Karin Kailing (4 shared papers)Christian Böhm (12 shared papers)Matthias Renz (27 shared papers)H.-P. Kriegel (10 shared papers)
In The Last Decade
Peer Kröger
89 papers receiving 3.4k citations
Peer Kröger's Hit Papers
Peers
Comparison fields: 5 of 159
- Signal Processing 1.1k
- Artificial Intelligence 2.2k
- Computer Vision and Pattern Recognition 962
- Statistical and Nonlinear Physics 337
- Information Systems 611
Countries citing papers authored by Peer Kröger
This map shows the geographic impact of Peer Kröger'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 Peer Kröger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peer Kröger more than expected).
Fields of papers citing papers by Peer Kröger
This network shows the impact of papers produced by Peer Kröger. 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 Peer Kröger. The network helps show where Peer Kröger may publish in the future.
Co-authors
The 25 scholars most cited alongside Peer Kröger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clustering high-dimensional data Hit paper breakdown → | 2009 | 735 |
| 2 | Density‐based clustering Hit paper breakdown → | 2011 | 562 |
| 3 | 2009 | 326 | |
| 4 | 2004 | 225 | |
| 5 | 2011 | 168 | |
| 6 | 2005 | 107 | |
| 7 | 2006 | 93 | |
| 8 | 2004 | 91 | |
| 9 | 2007 | 89 | |
| 10 | 2006 | 86 | |
| 11 | 2012 | 74 | |
| 12 | 2012 | 73 | |
| 13 | On Using Class-Labels in Evaluation of Clusterings | 2010 | 69 |
| 14 | 2019 | 66 | |
| 15 | 2003 | 51 | |
| 16 | 2001 | 51 | |
| 17 | 2012 | 47 | |
| 18 | 2009 | 47 | |
| 19 | 2009 | 43 | |
| 20 | 2005 | 43 |
About Peer Kröger
Peer Kröger is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems, having authored 99 papers that have together received 3.7k indexed citations. Recurring topics across this work include Data Management and Algorithms (47 papers), Advanced Clustering Algorithms Research (28 papers), Data Mining Algorithms and Applications (12 papers), Anomaly Detection Techniques and Applications (10 papers), Advanced Image and Video Retrieval Techniques (8 papers), Time Series Analysis and Forecasting (8 papers), Advanced Database Systems and Queries (8 papers) and Algorithms and Data Compression (8 papers). The work is most often cited by research in Signal Processing (1.1k citations), Artificial Intelligence (2.2k citations), Computer Vision and Pattern Recognition (962 citations), Statistical and Nonlinear Physics (337 citations) and Information Systems (611 citations). Peer Kröger has collaborated with scholars based in Germany, Canada and Denmark. Frequent co-authors include Hans‐Peter Kriegel, Arthur Zimek, Jörg Sander, Erich Schubert, Karin Kailing, Christian Böhm, Matthias Renz, H.-P. Kriegel, Elke Achtert and Alexey Pryakhin. Their work appears in journals such as Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Rapid Communications in Mass Spectrometry, Data Mining and Knowledge Discovery, Archaeometry and Proceedings of the VLDB Endowment.
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.