Ron Meir
Impact in
- Artificial Intelligence top 1%
- Neural Networks and Applications
- Reinforcement Learning in Robotics
- Machine Learning and Algorithms
- Signal Processing top 2%
- Blind Source Separation Techniques
- Speech and Audio Processing
Papers in
-
- Neural Networks and Applications 30
- Machine Learning and Algorithms 12
- Gaussian Processes and Bayesian Inference 7
-
- Neural dynamics and brain function 23
- Co-authors
- Shie Mannor (6 shared papers)Yaakov Engel (4 shared papers)José F. Fontanari (10 shared papers)Daniel Soudry (5 shared papers)V. Maiorov (6 shared papers)Eytan Domany (3 shared papers)Tong Zhang (2 shared papers)Wolfgang Kinzel (2 shared papers)
- Journals
- Neural Computation (4 papers)Network Computation in Neural Systems (4 papers)Journal of Machine Learning Research (3 papers)IEEE Transactions on Information Theory (3 papers)Europhysics Letters (EPL) (2 papers)
- Partner nations
- IsraelUnited StatesBrazil
In The Last Decade
Ron Meir
82 papers receiving 2.4k citations
Ron Meir's Hit Papers
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 1.4k
- Signal Processing 433
- Computational Mechanics 612
- Computer Vision and Pattern Recognition 492
- Cognitive Neuroscience 423
Countries citing papers authored by Ron Meir
This map shows the geographic impact of Ron Meir'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 Ron Meir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ron Meir more than expected).
Fields of papers citing papers by Ron Meir
This network shows the impact of papers produced by Ron Meir. 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 Ron Meir. The network helps show where Ron Meir may publish in the future.
Co-authors
The 25 scholars most cited alongside Ron Meir, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Kernel Recursive Least-Squares Algorithm Hit paper breakdown → | 2004 | 765 |
| 2 | 2005 | 191 | |
| 3 | Bayes meets bellman: the Gaussian process approach to temporal difference learning | 2003 | 100 |
| 4 | 2016 | 99 | |
| 5 | Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights | 2014 | 86 |
| 6 | A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks | 1992 | 68 |
| 7 | 2005 | 65 | |
| 8 | 2008 | 65 | |
| 9 | 1989 | 63 | |
| 10 | Generalization error bounds for Bayesian mixture algorithms | 2003 | 62 |
| 11 | 1998 | 60 | |
| 12 | 2000 | 55 | |
| 13 | 2007 | 49 | |
| 14 | 2020 | 47 | |
| 15 | 1998 | 45 | |
| 16 | 2007 | 38 | |
| 17 | 1986 | 34 | |
| 18 | 1991 | 30 | |
| 19 | 2004 | 30 | |
| 20 | 2010 | 29 |
About Ron Meir
Ron Meir is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Control and Systems Engineering and Statistical and Nonlinear Physics, having authored 88 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neural Networks and Applications (30 papers), Neural dynamics and brain function (23 papers), Machine Learning and Algorithms (12 papers), Advanced Memory and Neural Computing (9 papers), Control Systems and Identification (8 papers), Face and Expression Recognition (8 papers), Blind Source Separation Techniques (7 papers) and Gaussian Processes and Bayesian Inference (7 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Signal Processing (433 citations), Computational Mechanics (612 citations), Computer Vision and Pattern Recognition (492 citations) and Cognitive Neuroscience (423 citations). Ron Meir has collaborated with scholars based in Israel, United States and Brazil. Frequent co-authors include Shie Mannor, Yaakov Engel, José F. Fontanari, Daniel Soudry, V. Maiorov, Eytan Domany, Tong Zhang, Wolfgang Kinzel, Itay Hubara and Ayellet Tal. Their work appears in journals such as Neural Computation, Network Computation in Neural Systems, Journal of Machine Learning Research, IEEE Transactions on Information Theory 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.