Jim‐Shih Liaw
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 14
- Visual perception and processing mechanisms 3
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- Neuroscience and Neuropharmacology Research 5
- Photoreceptor and optogenetics research 2
- Artificial Intelligence top 10%
- Neural Networks and Applications 9
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- Advanced Memory and Neural Computing 5
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- Zebrafish Biomedical Research Applications 3
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- Amphibian and Reptile Biology 2
- Co-authors
- Theodore W. BergerMichel BaudryMichael A. ArbibXiaping XieB.J. SheuArmand R. TanguayRoberta Dı́az BrintonVasilis Z. Marmarelis
- Partner nations
- United States
In The Last Decade
Jim‐Shih Liaw
22 papers receiving 386 citations
Peers
Comparison fields: 5 of 64
- Cognitive Neuroscience 238
- Cellular and Molecular Neuroscience 219
- Artificial Intelligence 93
- Neurology 18
- Electrical and Electronic Engineering 124
Countries citing papers authored by Jim‐Shih Liaw
This map shows the geographic impact of Jim‐Shih Liaw'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 Jim‐Shih Liaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim‐Shih Liaw more than expected).
Fields of papers citing papers by Jim‐Shih Liaw
This network shows the impact of papers produced by Jim‐Shih Liaw. 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 Jim‐Shih Liaw. The network helps show where Jim‐Shih Liaw may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Jim‐Shih Liaw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 0 | |
| 2 | 2005 | 8 | |
| 3 | 2005 | 4 | |
| 4 | 2002 | 16 | |
| 5 | 2002 | 6 | |
| 6 | 2002 | 5 | |
| 7 | 2002 | 7 | |
| 8 | 2002 | 1 | |
| 9 | 2002 | 2 | |
| 10 | 2001 | 88 | |
| 11 | 2001 | 1 | |
| 12 | 2000 | 6 | |
| 13 | 1999 | 19 | |
| 14 | 1999 | 25 | |
| 15 | 1997 | 76 | |
| 16 | 1996 | 64 | |
| 17 | The role of synaptic geometry in neural transmission A modeling study | 1995 | 1 |
| 18 | 1995 | 26 | |
| 19 | 1994 | 4 | |
| 20 | 1993 | 12 |
About Jim‐Shih Liaw
Jim‐Shih Liaw is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence, Cell Biology and Signal Processing, having authored 23 papers that have together received 396 indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), Neural Networks and Applications (9 papers), Neuroscience and Neuropharmacology Research (5 papers), Advanced Memory and Neural Computing (5 papers), Visual perception and processing mechanisms (3 papers), Zebrafish Biomedical Research Applications (3 papers), Amphibian and Reptile Biology (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Cognitive Neuroscience (238 citations), Cellular and Molecular Neuroscience (219 citations), Artificial Intelligence (93 citations), Neurology (18 citations) and Electrical and Electronic Engineering (124 citations). Jim‐Shih Liaw has collaborated with scholars based in United States. Frequent co-authors include Theodore W. Berger, Michel Baudry, Michael A. Arbib, Xiaping Xie, B.J. Sheu, Armand R. Tanguay, Roberta Dı́az Brinton, Vasilis Z. Marmarelis, Ananda Weerasuriya and Alireza A. Dibazar. Their work appears in journals such as Biological Cybernetics, Neurocomputing, Hippocampus, Artificial Intelligence and Adaptive Behavior.
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.