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
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- Data Management and Algorithms 18
- Time Series Analysis and Forecasting 10
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- Anomaly Detection Techniques and Applications 28
- Advanced Clustering Algorithms Research 20
- Imbalanced Data Classification Techniques 7
- Co-authors
- Thomas SeidlIra AssentKlemens BöhmStephan GünnemannFabian KellerPatricia Iglesias SánchezRalph KriegerMarius Kloft
In The Last Decade
Emmanuel Müller
75 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 1.9k
- Signal Processing 525
- Statistical and Nonlinear Physics 359
- Computer Networks and Communications 560
- Computer Vision and Pattern Recognition 450
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 43 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 2 | |
| 10 | Deep One-Class Classification Hit paper breakdown → | 2018 | 484 |
| 11 | 2014 | 11 | |
| 12 | Proceedings of the ACM SIGKDD Workshop on Outlier Detection and Description | 2013 | 17 |
| 13 | 2013 | 38 | |
| 14 | 2013 | 67 | |
| 15 | 2012 | 214 | |
| 16 | A framework for evaluation and exploration of clustering algorithms in subspaces of high dimensional databases | 2011 | 5 |
| 17 | 2011 | 83 | |
| 18 | On Using Class-Labels in Evaluation of Clusterings | 2010 | 69 |
| 19 | Evaluating Clustering in Subspace Projections of High Dimensional Data | 2009 | 2 |
| 20 | 2007 | 2 |
About Emmanuel Müller
Emmanuel Müller is a scholar working on Signal Processing, Artificial Intelligence, Statistics and Probability, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 80 papers that have together received 2.3k 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 (525 citations), Statistical and Nonlinear Physics (359 citations), Computer Networks and Communications (560 citations) and Computer Vision and Pattern Recognition (450 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, Lucas Deecke and Lukas Ruff. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, BMC Bioinformatics, SAE technical papers on CD-ROM/SAE technical paper series and Machine Learning.
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.