Eric P. Loeb
Impact in
- Cognitive Neuroscience top 10%
- Motor Control and Adaptation
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neurology top 10%
- Vestibular and auditory disorders
Papers in
-
- Motor Control and Adaptation 4
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- Muscle activation and electromyography studies 4
- Robotic Locomotion and Control 2
- Advanced Sensor and Energy Harvesting Materials 1
- Co-authors
- Simon F. Giszter (4 shared papers)Emilio Bizzi (3 shared papers)Philippe Saltiel (1 shared paper)William T. Greenough (1 shared paper)Fen-Lei F. Chang (1 shared paper)Ferdinando A. Mussa-Ivaldi (2 shared papers)Paul R. Borghesani (1 shared paper)David Bennett (1 shared paper)
- Journals
- Journal of Cognitive Neuroscience (1 paper)Human Movement Science (1 paper)Behavioral and Brain Sciences (1 paper)Trends in Neurosciences (1 paper)Brain Research (1 paper)
- Partner nations
- United States
In The Last Decade
Eric P. Loeb
8 papers receiving 281 citations
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 177
- Neurology 64
- Physical Therapy, Sports Therapy and Rehabilitation 22
- Cellular and Molecular Neuroscience 85
- Sensory Systems 13
Countries citing papers authored by Eric P. Loeb
This map shows the geographic impact of Eric P. Loeb'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 Eric P. Loeb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric P. Loeb more than expected).
Fields of papers citing papers by Eric P. Loeb
This network shows the impact of papers produced by Eric P. Loeb. 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 Eric P. Loeb. The network helps show where Eric P. Loeb may publish in the future.
Co-authors
The 12 scholars most cited alongside Eric P. Loeb, 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 | 1995 | 155 | |
| 2 | 1987 | 45 | |
| 3 | 2000 | 43 | |
| 4 | 1993 | 38 | |
| 5 | 2000 | 13 | |
| 6 | 1992 | 8 | |
| 7 | 2005 | 1 | |
| 8 | Sencil TM Project: Development of a Percutaneous Optical Biosensor | 2004 | 1 |
About Eric P. Loeb
Eric P. Loeb is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Cellular and Molecular Neuroscience, Signal Processing and Artificial Intelligence, having authored 8 papers that have together received 304 indexed citations. Recurring topics across this work include Motor Control and Adaptation (4 papers), Muscle activation and electromyography studies (4 papers), Robotic Locomotion and Control (2 papers), Neuroscience and Neural Engineering (1 paper), Transcranial Magnetic Stimulation Studies (1 paper), Neural Networks and Applications (1 paper), Photoreceptor and optogenetics research (1 paper) and Advanced Sensor and Energy Harvesting Materials (1 paper). The work is most often cited by research in Cognitive Neuroscience (177 citations), Neurology (64 citations), Physical Therapy, Sports Therapy and Rehabilitation (22 citations), Cellular and Molecular Neuroscience (85 citations) and Sensory Systems (13 citations). Eric P. Loeb has collaborated with scholars based in United States. Frequent co-authors include Simon F. Giszter, Emilio Bizzi, Philippe Saltiel, William T. Greenough, Fen-Lei F. Chang, Ferdinando A. Mussa-Ivaldi, Paul R. Borghesani, David Bennett, Richard F. Lyon and F.J.R. Richmond. Their work appears in journals such as Journal of Cognitive Neuroscience, Human Movement Science, Behavioral and Brain Sciences, Trends in Neurosciences and Brain Research.
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.