Ruban Nersisson
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
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- AI in cancer detection 7
- Speech Recognition and Synthesis 5
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- Emotion and Mood Recognition 9
- Co-authors
- Alex Noel Joseph Raj (13 shared papers)Zhemin Zhuang (7 shared papers)Mathew Mithra Noel (3 shared papers)M. Murugappan (2 shared papers)Оlga Frolova (11 shared papers)Vijayalakshmi G. V. Mahesh (4 shared papers)Udit Jain (1 shared paper)Yuri Matveev (3 shared papers)
In The Last Decade
Ruban Nersisson
36 papers receiving 355 citations
Peers
Comparison fields: 5 of 87
- Health Informatics 6
- Signal Processing 50
- Experimental and Cognitive Psychology 55
- Radiology, Nuclear Medicine and Imaging 73
- Pharmacy 15
Countries citing papers authored by Ruban Nersisson
This map shows the geographic impact of Ruban Nersisson'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 Ruban Nersisson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruban Nersisson more than expected).
Fields of papers citing papers by Ruban Nersisson
This network shows the impact of papers produced by Ruban Nersisson. 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 Ruban Nersisson. The network helps show where Ruban Nersisson may publish in the future.
Co-authors
The 18 scholars most cited alongside Ruban Nersisson, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 57 | |
| 2 | 2018 | 47 | |
| 3 | 2016 | 27 | |
| 4 | 2021 | 24 | |
| 5 | 2019 | 22 | |
| 6 | 2021 | 22 | |
| 7 | 2019 | 21 | |
| 8 | 2017 | 18 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2017 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2021 | 5 |
About Ruban Nersisson
Ruban Nersisson is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Cognitive Neuroscience, Signal Processing and Biomedical Engineering, having authored 43 papers that have together received 361 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (9 papers), AI in cancer detection (7 papers), Infant Health and Development (6 papers), Non-Invasive Vital Sign Monitoring (5 papers), Speech Recognition and Synthesis (5 papers), Speech and Audio Processing (5 papers), Phonocardiography and Auscultation Techniques (4 papers) and ECG Monitoring and Analysis (4 papers). The work is most often cited by research in Health Informatics (6 citations), Signal Processing (50 citations), Experimental and Cognitive Psychology (55 citations), Radiology, Nuclear Medicine and Imaging (73 citations) and Pharmacy (15 citations). Ruban Nersisson has collaborated with scholars based in India, Russia and China. Frequent co-authors include Alex Noel Joseph Raj, Zhemin Zhuang, Mathew Mithra Noel, M. Murugappan, Оlga Frolova, Vijayalakshmi G. V. Mahesh, Udit Jain, Yuri Matveev, Nan Li and M. Lakshmanan. Their work appears in journals such as PLoS ONE, Computational Intelligence and Neuroscience, IEEE Access, Arabian Journal for Science and Engineering and PeerJ Computer Science.
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.