Sunil Jacob
Impact in
- Rehabilitation top 10%
- Stroke Rehabilitation and Recovery
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
Papers in
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- CCD and CMOS Imaging Sensors 4
- Advanced Memory and Neural Computing 3
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- EEG and Brain-Computer Interfaces 8
- Co-authors
- Varun G. Menon (16 shared papers)Mohammad R. Khosravi (2 shared papers)Fadi Al‐Turjman (1 shared paper)Paramjit Sehdev (2 shared papers)Leonardo Mostarda (1 shared paper)Venki Balasubramanian (3 shared papers)P. G. Shynu (3 shared papers)N. Z. Jhanjhi (2 shared papers)
In The Last Decade
Sunil Jacob
25 papers receiving 414 citations
Peers
Comparison fields: 5 of 79
- Rehabilitation 58
- Human-Computer Interaction 29
- Cognitive Neuroscience 84
- Computer Networks and Communications 107
- Computer Vision and Pattern Recognition 65
Countries citing papers authored by Sunil Jacob
This map shows the geographic impact of Sunil Jacob'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 Sunil Jacob with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Jacob more than expected).
Fields of papers citing papers by Sunil Jacob
This network shows the impact of papers produced by Sunil Jacob. 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 Sunil Jacob. The network helps show where Sunil Jacob may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunil Jacob, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 71 | |
| 2 | 2020 | 58 | |
| 3 | 2019 | 47 | |
| 4 | 2020 | 37 | |
| 5 | 2020 | 30 | |
| 6 | 2019 | 29 | |
| 7 | 2021 | 25 | |
| 8 | 2019 | 22 | |
| 9 | 2019 | 20 | |
| 10 | 2020 | 19 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 9 | |
| 13 | 2020 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2015 | 6 | |
| 18 | DESIGN OF 9 BIT SAR ADC USING HIGH SPEED AND HIGH RESOLUTION OPEN LOOP CMOS COMPARATOR IN 180NM TECHNOLOGY WITH R-2R DAC TOPOLOGY | 2014 | 4 |
| 19 | 2018 | 4 | |
| 20 | 2015 | 4 |
About Sunil Jacob
Sunil Jacob is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Biomedical Engineering, Rehabilitation and Aerospace Engineering, having authored 28 papers that have together received 440 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Stroke Rehabilitation and Recovery (6 papers), Muscle activation and electromyography studies (5 papers), CCD and CMOS Imaging Sensors (4 papers), Advanced Memory and Neural Computing (3 papers), Neuroscience and Neural Engineering (3 papers), Advanced Vision and Imaging (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Rehabilitation (58 citations), Human-Computer Interaction (29 citations), Cognitive Neuroscience (84 citations), Computer Networks and Communications (107 citations) and Computer Vision and Pattern Recognition (65 citations). Sunil Jacob has collaborated with scholars based in India, Australia and Malaysia. Frequent co-authors include Varun G. Menon, Mohammad R. Khosravi, Fadi Al‐Turjman, Paramjit Sehdev, Leonardo Mostarda, Fadi Al‐Turjman, Venki Balasubramanian, P. G. Shynu, N. Z. Jhanjhi and Varghese Paul. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, Environmental Science and Pollution Research, Internet of Things and Sensors.
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.