J. Barhen
Impact in
- Artificial Intelligence top 2%
- Neural Networks and Applications
- Metaheuristic Optimization Algorithms Research
- Neural Networks and Reservoir Computing
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research
Papers in
-
- Neural Networks and Applications 22
- Neural Networks and Reservoir Computing 10
-
- Distributed and Parallel Computing Systems 8
- Co-authors
- V. Protopopescu (13 shared papers)Nikzad Toomarian (17 shared papers)David B. Reister (7 shared papers)Joel W. Burdick (3 shared papers)A. Guez (1 shared paper)Nageswara S. V. Rao (5 shared papers)S. Gulati (4 shared papers)Vijay K. Vaishnavi (1 shared paper)
- Journals
- The Journal of the Acoustical Society of America (3 papers)Neural Networks (3 papers)Applied Mathematics Letters (2 papers)Physical Review Special Topics - Accelerators and Beams (2 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)
- Partner nations
- United StatesIsraelAustralia
In The Last Decade
J. Barhen
89 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 484
- Numerical Analysis 81
- Computer Networks and Communications 341
- Statistical and Nonlinear Physics 142
- Control and Systems Engineering 183
Countries citing papers authored by J. Barhen
This map shows the geographic impact of J. Barhen'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 J. Barhen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Barhen more than expected).
Fields of papers citing papers by J. Barhen
This network shows the impact of papers produced by J. Barhen. 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 J. Barhen. The network helps show where J. Barhen may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Barhen, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 182 | |
| 2 | 1997 | 139 | |
| 3 | 1988 | 106 | |
| 4 | 1993 | 96 | |
| 5 | 1989 | 58 | |
| 6 | 1992 | 57 | |
| 7 | 2003 | 47 | |
| 8 | 2000 | 36 | |
| 9 | 1997 | 31 | |
| 10 | 2002 | 27 | |
| 11 | 2000 | 26 | |
| 12 | 1993 | 23 | |
| 13 | 2007 | 22 | |
| 14 | 2002 | 22 | |
| 15 | 1982 | 21 | |
| 16 | 2002 | 20 | |
| 17 | 1995 | 18 | |
| 18 | 1997 | 18 | |
| 19 | 2001 | 15 | |
| 20 | Adjoint-Functions and Temporal Learning Algorithms in Neural Networks | 1990 | 15 |
About J. Barhen
J. Barhen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering, Aerospace Engineering and Hardware and Architecture, having authored 105 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural Networks and Applications (22 papers), Neural Networks and Reservoir Computing (10 papers), Fault Detection and Control Systems (8 papers), Distributed and Parallel Computing Systems (8 papers), Reservoir Engineering and Simulation Methods (7 papers), Embedded Systems Design Techniques (6 papers), Model Reduction and Neural Networks (6 papers) and Seismic Imaging and Inversion Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (484 citations), Numerical Analysis (81 citations), Computer Networks and Communications (341 citations), Statistical and Nonlinear Physics (142 citations) and Control and Systems Engineering (183 citations). J. Barhen has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include V. Protopopescu, Nikzad Toomarian, David B. Reister, Joel W. Burdick, A. Guez, Nageswara S. V. Rao, S. Gulati, Vijay K. Vaishnavi, Hairong Qi and Krishnendu Chakrabarty. Their work appears in journals such as The Journal of the Acoustical Society of America, Neural Networks, Applied Mathematics Letters, Physical Review Special Topics - Accelerators and Beams and IEEE Transactions on Knowledge and Data 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.