Raz Leib
Impact in
- Cognitive Neuroscience top 5%
- Tactile and Sensory Interactions
- Motor Control and Adaptation
- EEG and Brain-Computer Interfaces
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in ⓘ
-
- Motor Control and Adaptation 23
- Tactile and Sensory Interactions 17
- EEG and Brain-Computer Interfaces 5
- Visual perception and processing mechanisms 5
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- Muscle activation and electromyography studies 11
- Co-authors
- David W. Franklin (12 shared papers)Sae Franklin (6 shared papers)Md Osman Goni Nayeem (1 shared paper)Gordon Cheng (1 shared paper)Takao Someya (1 shared paper)Sunghoon Lee (1 shared paper)Yan Wang (1 shared paper)Tomoyuki Yokota (1 shared paper)
- Journals
- Journal of Neurophysiology (5 papers)IEEE Transactions on Haptics (2 papers)Comprehensive physiology (2 papers)Scientific Reports (1 paper)IEEE Transactions on Nuclear Science (1 paper)
- Partner nations
- GermanyIsraelUnited States
In The Last Decade
Raz Leib
23 papers receiving 729 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Cognitive Neuroscience 391
- Polymers and Plastics 193
- Biomedical Engineering 587
- Human-Computer Interaction 47
- Bioengineering 27
Countries citing papers authored by Raz Leib
This map shows the geographic impact of Raz Leib'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 Raz Leib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raz Leib more than expected).
Fields of papers citing papers by Raz Leib
This network shows the impact of papers produced by Raz Leib. 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 Raz Leib. The network helps show where Raz Leib may publish in the future.
Co-authors
The 25 scholars most cited alongside Raz Leib, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Nanomesh pressure sensor for monitoring finger manipulation without sensory interference Hit paper breakdown → | 2020 | 524 |
| 2 | 2015 | 31 | |
| 3 | 2004 | 30 | |
| 4 | 2012 | 26 | |
| 5 | 2020 | 21 | |
| 6 | 2016 | 21 | |
| 7 | 2017 | 17 | |
| 8 | 2018 | 14 | |
| 9 | 2017 | 12 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2018 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2024 | 1 |
About Raz Leib
Raz Leib is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Control and Systems Engineering, Social Psychology and Electrical and Electronic Engineering, having authored 26 papers that have together received 741 indexed citations. Recurring topics across this work include Motor Control and Adaptation (23 papers), Tactile and Sensory Interactions (17 papers), Muscle activation and electromyography studies (11 papers), EEG and Brain-Computer Interfaces (5 papers), Visual perception and processing mechanisms (5 papers), Robot Manipulation and Learning (3 papers), Action Observation and Synchronization (2 papers) and Balance, Gait, and Falls Prevention (1 paper). The work is most often cited by research in Cognitive Neuroscience (391 citations), Polymers and Plastics (193 citations), Biomedical Engineering (587 citations), Human-Computer Interaction (47 citations) and Bioengineering (27 citations). Raz Leib has collaborated with scholars based in Germany, Israel and United States. Frequent co-authors include David W. Franklin, Sae Franklin, Md Osman Goni Nayeem, Gordon Cheng, Takao Someya, Sunghoon Lee, Yan Wang, Tomoyuki Yokota, Faezeh Arab Hassani and Amir Karniel. Their work appears in journals such as Journal of Neurophysiology, IEEE Transactions on Haptics, Comprehensive physiology, Scientific Reports and IEEE Transactions on Nuclear Science.
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.