Jorge Cabral
Impact in
- Instrumentation top 5%
- Advanced Optical Sensing Technologies
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- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
Papers in
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- Advanced MEMS and NEMS Technologies 22
- Energy Harvesting in Wireless Networks 18
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- IoT and Edge/Fog Computing 13
- Energy Efficient Wireless Sensor Networks 12
- Co-authors
- Tiago Gomes (22 shared papers)Ricardo Roriz (1 shared paper)Adriano Tavares (39 shared papers)Sandro Pinto (19 shared papers)Filipe S. Alves (27 shared papers)André G. Ferreira (8 shared papers)João Monteiro (18 shared papers)Reza Abrishambaf (9 shared papers)
In The Last Decade
Jorge Cabral
112 papers receiving 1.4k citations
Jorge Cabral's Hit Papers
Peers
Comparison fields: 5 of 103
- Instrumentation 147
- Computer Networks and Communications 475
- Hardware and Architecture 135
- Electrical and Electronic Engineering 648
- Computer Vision and Pattern Recognition 199
Countries citing papers authored by Jorge Cabral
This map shows the geographic impact of Jorge Cabral'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 Jorge Cabral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Cabral more than expected).
Fields of papers citing papers by Jorge Cabral
This network shows the impact of papers produced by Jorge Cabral. 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 Jorge Cabral. The network helps show where Jorge Cabral may publish in the future.
Co-authors
The 25 scholars most cited alongside Jorge Cabral, 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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Automotive LiDAR Technology: A Survey Hit paper breakdown → | 2021 | 260 |
| 2 | 2013 | 99 | |
| 3 | 2019 | 96 | |
| 4 | 2017 | 92 | |
| 5 | 2019 | 76 | |
| 6 | 2017 | 71 | |
| 7 | 2017 | 42 | |
| 8 | 2016 | 41 | |
| 9 | 2015 | 36 | |
| 10 | 2016 | 30 | |
| 11 | 2024 | 27 | |
| 12 | 2008 | 27 | |
| 13 | 2017 | 26 | |
| 14 | 2006 | 26 | |
| 15 | 2017 | 25 | |
| 16 | 2017 | 25 | |
| 17 | 2014 | 25 | |
| 18 | 2017 | 24 | |
| 19 | 2014 | 20 | |
| 20 | 2020 | 18 |
About Jorge Cabral
Jorge Cabral is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Hardware and Architecture, having authored 120 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced MEMS and NEMS Technologies (22 papers), Mechanical and Optical Resonators (20 papers), Energy Harvesting in Wireless Networks (18 papers), Parallel Computing and Optimization Techniques (16 papers), IoT and Edge/Fog Computing (13 papers), Energy Efficient Wireless Sensor Networks (12 papers), Embedded Systems Design Techniques (12 papers) and Wireless Body Area Networks (11 papers). The work is most often cited by research in Instrumentation (147 citations), Computer Networks and Communications (475 citations), Hardware and Architecture (135 citations), Electrical and Electronic Engineering (648 citations) and Computer Vision and Pattern Recognition (199 citations). Jorge Cabral has collaborated with scholars based in Portugal, Thailand and Germany. Frequent co-authors include Tiago Gomes, Ricardo Roriz, Adriano Tavares, Sandro Pinto, Filipe S. Alves, André G. Ferreira, João Monteiro, Reza Abrishambaf, Duarte Fernandes and L.A. Rocha. Their work appears in journals such as Sensors, Journal of Microelectromechanical Systems, Electronics, IEEE Access and IEEE Sensors Journal.
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.