Bruce E. Rosen
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Machine Learning and Data Classification
-
- Face and Expression Recognition
Papers in
-
- Neural Networks and Applications 11
- Machine Learning and Algorithms 2
- Reinforcement Learning in Robotics 2
-
- Blind Source Separation Techniques 4
- Co-authors
- Lester Ingber (1 shared paper)Ariel Revel (1 shared paper)S. Yagel (1 shared paper)O. Tadmor (1 shared paper)Avraham Ben‐Chetrit (1 shared paper)Eyal Y. Anteby (1 shared paper)Takeshi Yamada (2 shared papers)Ryoko Nakano (1 shared paper)
- Journals
- Mathematical and Computer Modelling (1 paper)Biological Cybernetics (1 paper)Connection Science (1 paper)Journal of Ultrasound in Medicine (1 paper)International Journal of Pattern Recognition and Artificial Intelligence (1 paper)
- Partner nations
- United StatesJapanIsrael
In The Last Decade
Bruce E. Rosen
22 papers receiving 647 citations
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 320
- Computer Vision and Pattern Recognition 114
- Computational Theory and Mathematics 79
- Geophysics 59
- Industrial and Manufacturing Engineering 39
Countries citing papers authored by Bruce E. Rosen
This map shows the geographic impact of Bruce E. Rosen'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 Bruce E. Rosen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruce E. Rosen more than expected).
Fields of papers citing papers by Bruce E. Rosen
This network shows the impact of papers produced by Bruce E. Rosen. 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 Bruce E. Rosen. The network helps show where Bruce E. Rosen may publish in the future.
Co-authors
The 24 scholars most cited alongside Bruce E. Rosen, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 337 | |
| 2 | 1996 | 195 | |
| 3 | Intrauterine device failure: relation to its location within the uterine cavity. | 1993 | 61 |
| 4 | 2005 | 17 | |
| 5 | 2002 | 17 | |
| 6 | Comparison of two convolution models for fMRI time series | 1997 | 15 |
| 7 | Adaptive Range Coding | 1990 | 8 |
| 8 | 1994 | 7 | |
| 9 | 2002 | 7 | |
| 10 | LEARNING BY STATE RECURRENCE DETECTION | 1987 | 7 |
| 11 | 2002 | 6 | |
| 12 | 2002 | 6 | |
| 13 | 1994 | 6 | |
| 14 | 1992 | 5 | |
| 15 | 1992 | 3 | |
| 16 | 2002 | 3 | |
| 17 | 1988 | 3 | |
| 18 | 2002 | 1 | |
| 19 | 1993 | 1 | |
| 20 | 1994 | 1 |
About Bruce E. Rosen
Bruce E. Rosen is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Control and Systems Engineering and Cognitive Neuroscience, having authored 23 papers that have together received 708 indexed citations. Recurring topics across this work include Neural Networks and Applications (11 papers), Blind Source Separation Techniques (4 papers), Optimization and Search Problems (2 papers), Advanced Memory and Neural Computing (2 papers), Machine Learning and Algorithms (2 papers), Stock Market Forecasting Methods (2 papers), Theoretical and Computational Physics (2 papers) and Reinforcement Learning in Robotics (2 papers). The work is most often cited by research in Artificial Intelligence (320 citations), Computer Vision and Pattern Recognition (114 citations), Computational Theory and Mathematics (79 citations), Geophysics (59 citations) and Industrial and Manufacturing Engineering (39 citations). Bruce E. Rosen has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Lester Ingber, Ariel Revel, S. Yagel, O. Tadmor, Avraham Ben‐Chetrit, Eyal Y. Anteby, Takeshi Yamada, Ryoko Nakano, Tom Bylander and Stephen Wilson. Their work appears in journals such as Mathematical and Computer Modelling, Biological Cybernetics, Connection Science, Journal of Ultrasound in Medicine and International Journal of Pattern Recognition and Artificial Intelligence.
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.