Manfred Opper
Impact in
- Artificial Intelligence top 0.2%
- Machine Learning and Algorithms
- Neural Networks and Applications
- Gaussian Processes and Bayesian Inference
- Machine Learning and Data Classification
- Algorithms and Data Compression
Papers in
-
- Neural Networks and Applications 59
- Gaussian Processes and Bayesian Inference 55
- Machine Learning and Algorithms 25
-
- Statistical Mechanics and Entropy 22
- Model Reduction and Neural Networks 15
- Co-authors
- Haim Sompolinsky (4 shared papers)H. Sebastian Seung (1 shared paper)Lehel Csató (8 shared papers)Ole Winther (23 shared papers)Guido Sanguinetti (10 shared papers)S. Diederich (5 shared papers)David Haussler (10 shared papers)David Saad (4 shared papers)
- Journals
- Physical Review Letters (15 papers)Physical review. E (5 papers)Journal of Machine Learning Research (5 papers)Neural Computation (4 papers)Europhysics Letters (EPL) (4 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Manfred Opper
176 papers receiving 6.0k citations
Manfred Opper's Hit Papers
Peers
Comparison fields: 5 of 167
- Artificial Intelligence 4.1k
- Statistical and Nonlinear Physics 809
- Signal Processing 624
- Statistics and Probability 408
- Computer Vision and Pattern Recognition 899
Countries citing papers authored by Manfred Opper
This map shows the geographic impact of Manfred Opper'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 Manfred Opper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manfred Opper more than expected).
Fields of papers citing papers by Manfred Opper
This network shows the impact of papers produced by Manfred Opper. 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 Manfred Opper. The network helps show where Manfred Opper may publish in the future.
Co-authors
The 25 scholars most cited alongside Manfred Opper, 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 178 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Query by committee Hit paper breakdown → | 1992 | 1253 |
| 2 | Sparse On-Line Gaussian Processes Hit paper breakdown → | 2002 | 538 |
| 3 | Advances in Neural Information Processing Systems 26 (NIPS 2013) Hit paper breakdown → | 2013 | 367 |
| 4 | Advanced mean field methods: theory and practice | 2001 | 273 |
| 5 | Advances in Neural Information Processing Systems 11 (NIPS 1998) | 1999 | 210 |
| 6 | 1987 | 209 | |
| 7 | 2012 | 169 | |
| 8 | 2008 | 144 | |
| 9 | 2000 | 142 | |
| 10 | 1991 | 116 | |
| 11 | 1999 | 109 | |
| 12 | Expectation Consistent Approximate Inference | 2005 | 98 |
| 13 | 1990 | 95 | |
| 14 | Sparse Representation for Gaussian Process Models | 2000 | 95 |
| 15 | 1997 | 85 | |
| 16 | 1999 | 85 | |
| 17 | 2001 | 78 | |
| 18 | 2002 | 77 | |
| 19 | 1992 | 72 | |
| 20 | 2011 | 69 |
About Manfred Opper
Manfred Opper is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Control and Systems Engineering, Statistics and Probability and Condensed Matter Physics, having authored 178 papers that have together received 6.4k indexed citations. Recurring topics across this work include Neural Networks and Applications (59 papers), Gaussian Processes and Bayesian Inference (55 papers), Machine Learning and Algorithms (25 papers), Theoretical and Computational Physics (22 papers), Statistical Mechanics and Entropy (22 papers), Control Systems and Identification (21 papers), Markov Chains and Monte Carlo Methods (16 papers) and Model Reduction and Neural Networks (15 papers). The work is most often cited by research in Artificial Intelligence (4.1k citations), Statistical and Nonlinear Physics (809 citations), Signal Processing (624 citations), Statistics and Probability (408 citations) and Computer Vision and Pattern Recognition (899 citations). Manfred Opper has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Haim Sompolinsky, H. Sebastian Seung, Lehel Csató, Ole Winther, Guido Sanguinetti, S. Diederich, David Haussler, David Saad, Botond Cseke and Cédric Archambeau. Their work appears in journals such as Physical Review Letters, Physical review. E, Journal of Machine Learning Research, Neural Computation and Europhysics Letters (EPL).
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.