Erich Schubert
Impact in
- Artificial Intelligence top 0.2%
- Anomaly Detection Techniques and Applications
- Imbalanced Data Classification Techniques
- Advanced Clustering Algorithms Research
- Signal Processing top 0.5%
- Time Series Analysis and Forecasting
- Data Management and Algorithms
Papers in
-
- Anomaly Detection Techniques and Applications 28
- Advanced Clustering Algorithms Research 17
- Imbalanced Data Classification Techniques 8
-
- Data Management and Algorithms 21
- Time Series Analysis and Forecasting 11
- Co-authors
- Arthur Zimek (37 shared papers)Hans‐Peter Kriegel (25 shared papers)Jörg Sander (3 shared papers)Martin Ester (1 shared paper)Xiaowei Xu (1 shared paper)Peer Kröger (11 shared papers)Michael E. Houle (7 shared papers)Ira Assent (3 shared papers)
In The Last Decade
Erich Schubert
72 papers receiving 5.6k citations
Erich Schubert's Hit Papers
Peers
Comparison fields: 5 of 192
- Artificial Intelligence 3.5k
- Signal Processing 996
- Statistics and Probability 456
- Computer Networks and Communications 1.1k
- Computer Vision and Pattern Recognition 819
Countries citing papers authored by Erich Schubert
This map shows the geographic impact of Erich Schubert'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 Erich Schubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erich Schubert more than expected).
Fields of papers citing papers by Erich Schubert
This network shows the impact of papers produced by Erich Schubert. 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 Erich Schubert. The network helps show where Erich Schubert may publish in the future.
Co-authors
The 25 scholars most cited alongside Erich Schubert, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DBSCAN Revisited, Revisited Hit paper breakdown → | 2017 | 1749 |
| 2 | A survey on unsupervised outlier detection in high‐dimensional numerical data Hit paper breakdown → | 2012 | 568 |
| 3 | On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study Hit paper breakdown → | 2016 | 507 |
| 4 | 2009 | 372 | |
| 5 | 2009 | 229 | |
| 6 | 2012 | 227 | |
| 7 | 2011 | 202 | |
| 8 | 2010 | 196 | |
| 9 | 2016 | 161 | |
| 10 | 2015 | 121 | |
| 11 | 2012 | 119 | |
| 12 | 2014 | 115 | |
| 13 | 2006 | 88 | |
| 14 | 2012 | 85 | |
| 15 | On Using Class-Labels in Evaluation of Clusterings | 2010 | 84 |
| 16 | 2023 | 81 | |
| 17 | 2008 | 73 | |
| 18 | 2007 | 70 | |
| 19 | 2012 | 62 | |
| 20 | 2014 | 59 |
About Erich Schubert
Erich Schubert is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Statistics and Probability and Epidemiology, having authored 82 papers that have together received 5.8k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (28 papers), Data Management and Algorithms (21 papers), Advanced Clustering Algorithms Research (17 papers), Advanced Statistical Methods and Models (12 papers), Time Series Analysis and Forecasting (11 papers), Face and Expression Recognition (9 papers), Data Mining Algorithms and Applications (8 papers) and Imbalanced Data Classification Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (3.5k citations), Signal Processing (996 citations), Statistics and Probability (456 citations), Computer Networks and Communications (1.1k citations) and Computer Vision and Pattern Recognition (819 citations). Erich Schubert has collaborated with scholars based in Germany, Denmark and Canada. Frequent co-authors include Arthur Zimek, Hans‐Peter Kriegel, Jörg Sander, Martin Ester, Xiaowei Xu, Peer Kröger, Michael E. Houle, Ira Assent, Ricardo J. G. B. Campello and Barbora Micenková. Their work appears in journals such as Information Systems, JDDG Journal der Deutschen Dermatologischen Gesellschaft, Data Mining and Knowledge Discovery, Lecture notes in computer science 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.