Nili E. Krausz
- Biomedical Engineering top 10%
- Cognitive Neuroscience
- Rehabilitation top 10%
- Cellular and Molecular Neuroscience
- Control and Systems Engineering
- Co-authors
- Levi J. HargroveTommaso LenziRichard F. WeirRonald A. L. RorrerAude BillardAnn M. SimonSilvestro MiceraTamar Flash
- Topics
- Muscle activation and electromyography studies (11 papers)Prosthetics and Rehabilitation Robotics (8 papers)Advanced Sensor and Energy Harvesting Materials (3 papers)
- Journals
- IEEE Transactions on Biomedical EngineeringSensorsIEEE Transactions on Neural Systems and Rehabilitation Engineering
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Nili E. Krausz
11 papers receiving 341 citations
Peers
Comparison fields: 5 of 39
- Biomedical Engineering 303
- Cognitive Neuroscience 85
- Rehabilitation 71
- Cellular and Molecular Neuroscience 53
- Control and Systems Engineering 50
Countries citing papers authored by Nili E. Krausz
This map shows the geographic impact of Nili E. Krausz'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 Nili E. Krausz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nili E. Krausz more than expected).
Fields of papers citing papers by Nili E. Krausz
This network shows the impact of papers produced by Nili E. Krausz. 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 Nili E. Krausz. The network helps show where Nili E. Krausz may publish in the future.
Co-authorship network of co-authors of Nili E. Krausz
This figure shows the co-authorship network connecting the top 25 collaborators of Nili E. Krausz. A scholar is included among the top collaborators of Nili E. Krausz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nili E. Krausz. Nili E. Krausz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 22 | |
| 4 | 33 | |
| 5 | 24 | |
| 6 | 32 | |
| 7 | 47 | |
| 8 | 16 | |
| 9 | 92 | |
| 10 | 49 | |
| 11 | 28 |
About Nili E. Krausz
Nili E. Krausz is a scholar working on Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation and Cognitive Neuroscience, having authored 11 papers that have together received 346 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (11 papers), Prosthetics and Rehabilitation Robotics (8 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). The work is most often cited by research in Rehabilitation (71 citations), Human-Computer Interaction (40 citations) and Biomedical Engineering (303 citations). Nili E. Krausz has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Levi J. Hargrove, Tommaso Lenzi, Richard F. Weir, Ronald A. L. Rorrer, Aude Billard, Ann M. Simon, Silvestro Micera, Tamar Flash, Enrico Chiovetto and Martin A. Giese. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Sensors and IEEE Transactions on Neural Systems and Rehabilitation 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.