Emmanuel Müller
Impact in
- Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications
- Advanced Clustering Algorithms Research
- Imbalanced Data Classification Techniques
- Signal Processing top 1%
- Data Management and Algorithms
Papers in
-
- Anomaly Detection Techniques and Applications 28
- Advanced Clustering Algorithms Research 20
- Imbalanced Data Classification Techniques 7
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- Data Management and Algorithms 18
- Time Series Analysis and Forecasting 10
- Co-authors
- Thomas Seidl (29 shared papers)Ira Assent (20 shared papers)Klemens Böhm (15 shared papers)Stephan Günnemann (15 shared papers)Fabian Keller (5 shared papers)Patricia Iglesias Sánchez (5 shared papers)Ralph Krieger (10 shared papers)Marius Kloft (1 shared paper)
In The Last Decade
Emmanuel Müller
77 papers receiving 2.2k citations
Emmanuel Müller's Hit Papers
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 1.9k
- Signal Processing 528
- Statistical and Nonlinear Physics 362
- Computer Networks and Communications 573
- Computer Vision and Pattern Recognition 448
Countries citing papers authored by Emmanuel Müller
This map shows the geographic impact of Emmanuel Müller'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 Emmanuel Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Müller more than expected).
Fields of papers citing papers by Emmanuel Müller
This network shows the impact of papers produced by Emmanuel Müller. 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 Emmanuel Müller. The network helps show where Emmanuel Müller may publish in the future.
Co-authors
The 25 scholars most cited alongside Emmanuel Müller, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep One-Class Classification Hit paper breakdown → | 2018 | 489 |
| 2 | 2012 | 216 | |
| 3 | 2009 | 158 | |
| 4 | 2014 | 146 | |
| 5 | 2011 | 84 | |
| 6 | 2007 | 80 | |
| 7 | On Using Class-Labels in Evaluation of Clusterings | 2010 | 69 |
| 8 | 2013 | 68 | |
| 9 | 2009 | 62 | |
| 10 | 2023 | 60 | |
| 11 | 2008 | 60 | |
| 12 | 2013 | 59 | |
| 13 | 2012 | 46 | |
| 14 | 2008 | 44 | |
| 15 | 2012 | 43 | |
| 16 | 2008 | 41 | |
| 17 | 2013 | 38 | |
| 18 | 2014 | 37 | |
| 19 | 2007 | 36 | |
| 20 | 2011 | 34 |
About Emmanuel Müller
Emmanuel Müller is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Information Systems and Computer Networks and Communications, having authored 81 papers that have together received 2.4k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (28 papers), Advanced Clustering Algorithms Research (20 papers), Data Management and Algorithms (18 papers), Data Mining Algorithms and Applications (13 papers), Complex Network Analysis Techniques (12 papers), Time Series Analysis and Forecasting (10 papers), Advanced Statistical Methods and Models (9 papers) and Imbalanced Data Classification Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Signal Processing (528 citations), Statistical and Nonlinear Physics (362 citations), Computer Networks and Communications (573 citations) and Computer Vision and Pattern Recognition (448 citations). Emmanuel Müller has collaborated with scholars based in Germany, Denmark and Belgium. Frequent co-authors include Thomas Seidl, Ira Assent, Klemens Böhm, Stephan Günnemann, Fabian Keller, Patricia Iglesias Sánchez, Ralph Krieger, Marius Kloft, Shoaib Ahmed Siddiqui and Alexander Binder. Their work appears in journals such as Proceedings of the VLDB Endowment, SAE technical papers on CD-ROM/SAE technical paper series, PLoS ONE, Topoi and Data & Knowledge Engineering.
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.