M.A. Jabri
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Signal Processing top 10%
- Blind Source Separation Techniques
Papers in
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- Neural Networks and Applications 18
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- Advanced Memory and Neural Computing 7
- VLSI and FPGA Design Techniques 7
- Co-authors
- B. Flower (9 shared papers)Richard Coggins (7 shared papers)Bailing Zhang (2 shared papers)Simon R. Schultz (1 shared paper)Philip H. W. Leong (7 shared papers)Hong Yan (1 shared paper)Minyue Fu (1 shared paper)Yu Xie (3 shared papers)
- Journals
- Electronics Letters (3 papers)IEEE Journal of Solid-State Circuits (1 paper)IEEE Micro (1 paper)IEEE Multimedia (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
M.A. Jabri
35 papers receiving 552 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 317
- Signal Processing 74
- Computer Vision and Pattern Recognition 107
- Electrical and Electronic Engineering 251
- Cognitive Neuroscience 74
Countries citing papers authored by M.A. Jabri
This map shows the geographic impact of M.A. Jabri'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 M.A. Jabri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.A. Jabri more than expected).
Fields of papers citing papers by M.A. Jabri
This network shows the impact of papers produced by M.A. Jabri. 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 M.A. Jabri. The network helps show where M.A. Jabri may publish in the future.
Co-authors
The 22 scholars most cited alongside M.A. Jabri, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 165 | |
| 2 | 2001 | 98 | |
| 3 | 1999 | 44 | |
| 4 | 1992 | 43 | |
| 5 | 1995 | 35 | |
| 6 | 2002 | 34 | |
| 7 | 1995 | 27 | |
| 8 | 1996 | 20 | |
| 9 | 1995 | 15 | |
| 10 | 1995 | 12 | |
| 11 | 1998 | 12 | |
| 12 | 1991 | 11 | |
| 13 | 1999 | 9 | |
| 14 | 2003 | 8 | |
| 15 | 1989 | 7 | |
| 16 | 2002 | 6 | |
| 17 | 1994 | 5 | |
| 18 | 2002 | 5 | |
| 19 | ANN Based Classification for Heart Defibrillators | 1991 | 4 |
| 20 | Independent Components of Optical Flows Have MSTd-Like Receptive Fields | 2000 | 4 |
About M.A. Jabri
M.A. Jabri is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Biomedical Engineering, Cognitive Neuroscience and Computer Networks and Communications, having authored 44 papers that have together received 591 indexed citations. Recurring topics across this work include Neural Networks and Applications (18 papers), Analog and Mixed-Signal Circuit Design (8 papers), Advanced Memory and Neural Computing (7 papers), VLSI and FPGA Design Techniques (7 papers), ECG Monitoring and Analysis (6 papers), Blind Source Separation Techniques (5 papers), Cardiac electrophysiology and arrhythmias (4 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Artificial Intelligence (317 citations), Signal Processing (74 citations), Computer Vision and Pattern Recognition (107 citations), Electrical and Electronic Engineering (251 citations) and Cognitive Neuroscience (74 citations). M.A. Jabri has collaborated with scholars based in Australia, China and United States. Frequent co-authors include B. Flower, Richard Coggins, Bailing Zhang, Simon R. Schultz, Philip H. W. Leong, Hong Yan, Minyue Fu, Yu Xie, M. Schenkel and D.J. Skellern. Their work appears in journals such as Electronics Letters, IEEE Journal of Solid-State Circuits, IEEE Micro, IEEE Multimedia and IEEE Transactions on Biomedical 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.