Shraga Shoval
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 1%
- Aerospace Engineering top 5%
- Control and Systems Engineering top 5%
- Co-authors
- J. BorensteinYoram KorenEdward BormashenkoIwan UlrichMahmoud EfatmaneshnikNir ShvalbAmir ShapiroIrina Legchenkova
- Topics
- Robotic Path Planning Algorithms (25 papers)Robotics and Sensor-Based Localization (16 papers)Pickering emulsions and particle stabilization (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Physical Chemistry BLangmuir
- Partner nations
- IsraelAustraliaUnited States
In The Last Decade
Shraga Shoval
122 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 125
- Cognitive Neuroscience 350
- Computer Vision and Pattern Recognition 312
- Human-Computer Interaction 269
- Aerospace Engineering 256
- Control and Systems Engineering 246
Countries citing papers authored by Shraga Shoval
This map shows the geographic impact of Shraga Shoval'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 Shraga Shoval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shraga Shoval more than expected).
Fields of papers citing papers by Shraga Shoval
This network shows the impact of papers produced by Shraga Shoval. 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 Shraga Shoval. The network helps show where Shraga Shoval may publish in the future.
Co-authorship network of co-authors of Shraga Shoval
This figure shows the co-authorship network connecting the top 25 collaborators of Shraga Shoval. A scholar is included among the top collaborators of Shraga Shoval 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 Shraga Shoval. Shraga Shoval is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 2 | |
| 12 | 70 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 3 | |
| 16 | 6 | |
| 17 | 11 | |
| 18 | 10 | |
| 19 | 9 | |
| 20 | 21 |
About Shraga Shoval
Shraga Shoval is a scholar working on Surfaces, Coatings and Films, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 128 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (25 papers), Robotics and Sensor-Based Localization (16 papers) and Pickering emulsions and particle stabilization (16 papers). The work is most often cited by research in Human-Computer Interaction (269 citations), Cognitive Neuroscience (350 citations) and Industrial and Manufacturing Engineering (174 citations). Shraga Shoval has collaborated with scholars based in Israel, Australia and United States. Frequent co-authors include J. Borenstein, Yoram Koren, Edward Bormashenko, Iwan Ulrich, Mahmoud Efatmaneshnik, Nir Shvalb, Amir Shapiro, Irina Legchenkova, Yuval Cohen and Maurizio Faccio. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry B and Langmuir.
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.