Eduardo Torres-Jara
- Biomedical Engineering top 10%
- Control and Systems Engineering top 5%
- Cognitive Neuroscience top 10%
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Aaron EdsingerCharles C. KempPaul FitzpatrickSina YoussefianNima RahbarLorenzo NataleIuliu VasilescuUna-May O’Reilly
- Topics
- Robot Manipulation and Learning (7 papers)Tactile and Sensory Interactions (4 papers)Advanced Sensor and Energy Harvesting Materials (4 papers)
- Journals
- IEEE Sensors JournalIEEE Robotics & Automation MagazineInteraction Studies Social Behaviour and Communication in Biological and Artificial Systems
- Partner nations
- United StatesItaly
In The Last Decade
Eduardo Torres-Jara
11 papers receiving 532 citations
Peers
Comparison fields: 5 of 59
- Biomedical Engineering 324
- Control and Systems Engineering 294
- Cognitive Neuroscience 146
- Mechanical Engineering 129
- Computer Vision and Pattern Recognition 112
Countries citing papers authored by Eduardo Torres-Jara
This map shows the geographic impact of Eduardo Torres-Jara'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 Eduardo Torres-Jara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduardo Torres-Jara more than expected).
Fields of papers citing papers by Eduardo Torres-Jara
This network shows the impact of papers produced by Eduardo Torres-Jara. 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 Eduardo Torres-Jara. The network helps show where Eduardo Torres-Jara may publish in the future.
Co-authorship network of co-authors of Eduardo Torres-Jara
This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Torres-Jara. A scholar is included among the top collaborators of Eduardo Torres-Jara 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 Eduardo Torres-Jara. Eduardo Torres-Jara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 59 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 42 | |
| 6 | 261 | |
| 7 | 20 | |
| 8 | A soft touch: Compliant Tactile Sensors for Sensitive Manipulation | 47 |
| 9 | 8 | |
| 10 | Tapping into Touch | 32 |
| 11 | 6 | |
| 12 | 71 |
About Eduardo Torres-Jara
Eduardo Torres-Jara is a scholar working on Control and Systems Engineering, Cognitive Neuroscience and Human-Computer Interaction, having authored 12 papers that have together received 561 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (7 papers), Tactile and Sensory Interactions (4 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). The work is most often cited by research in Control and Systems Engineering (294 citations), Human-Computer Interaction (48 citations) and Cognitive Neuroscience (146 citations). Eduardo Torres-Jara has collaborated with scholars based in United States and Italy. Frequent co-authors include Aaron Edsinger, Charles C. Kemp, Paul Fitzpatrick, Sina Youssefian, Nima Rahbar, Lorenzo Natale, Iuliu Vasilescu, Una-May O’Reilly, Robert J. Wood and D. Rus. Their work appears in journals such as IEEE Sensors Journal, IEEE Robotics & Automation Magazine and Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems.
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.