Sohan Seth

3.2k total citations · 2 hit papers
72 papers, 1.9k citations indexed

About

Sohan Seth is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Sohan Seth has authored 72 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Cognitive Neuroscience and 14 papers in Signal Processing. Recurrent topics in Sohan Seth's work include Neural dynamics and brain function (14 papers), Blind Source Separation Techniques (9 papers) and Advanced Adaptive Filtering Techniques (6 papers). Sohan Seth is often cited by papers focused on Neural dynamics and brain function (14 papers), Blind Source Separation Techniques (9 papers) and Advanced Adaptive Filtering Techniques (6 papers). Sohan Seth collaborates with scholars based in United States, United Kingdom and Finland. Sohan Seth's co-authors include José C. Prı́ncipe, Reeju Pokharel, J.C. Principe, Austin J. Brockmeier, Bilal Fadlallah, Ling Li, A. Keil, Il Memming Park, Joseph T. Francis and John Choi and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Sohan Seth

70 papers receiving 1.9k citations

Hit Papers

Engineering in Medicine and Biology Society (EMBC), 2012 ... 2011 2026 2016 2021 2012 2011 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sohan Seth United States 18 521 382 335 280 233 72 1.9k
Chiew Tong Lau Singapore 25 463 0.9× 408 1.1× 479 1.4× 470 1.7× 129 0.6× 119 2.7k
Tao Xiong United States 16 572 1.1× 192 0.5× 493 1.5× 181 0.6× 203 0.9× 40 1.5k
Ping He China 26 464 0.9× 193 0.5× 205 0.6× 121 0.4× 390 1.7× 226 2.5k
Carlos G. Puntonet Spain 26 475 0.9× 368 1.0× 532 1.6× 663 2.4× 112 0.5× 109 2.1k
Reza Ebrahimpour Iran 21 458 0.9× 618 1.6× 473 1.4× 156 0.6× 136 0.6× 139 2.0k
Leslie S. Smith United Kingdom 21 591 1.1× 522 1.4× 318 0.9× 193 0.7× 135 0.6× 102 2.0k
A. Prieto Spain 26 1.2k 2.3× 246 0.6× 310 0.9× 264 0.9× 171 0.7× 160 2.5k
Seungjin Choi South Korea 29 704 1.4× 614 1.6× 1.0k 3.0× 987 3.5× 240 1.0× 131 2.8k
Yong Peng China 25 589 1.1× 685 1.8× 582 1.7× 188 0.7× 84 0.4× 137 2.0k

Countries citing papers authored by Sohan Seth

Since Specialization
Citations

This map shows the geographic impact of Sohan Seth'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 Sohan Seth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sohan Seth more than expected).

Fields of papers citing papers by Sohan Seth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sohan Seth. 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 Sohan Seth. The network helps show where Sohan Seth may publish in the future.

Co-authorship network of co-authors of Sohan Seth

This figure shows the co-authorship network connecting the top 25 collaborators of Sohan Seth. A scholar is included among the top collaborators of Sohan Seth 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 Sohan Seth. Sohan Seth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Seth, Sohan, et al.. (2025). Understanding impact sensitivity of energetic molecules by supervised machine learning. Digital Discovery. 4(11). 3260–3269.
3.
Watson, Neil, J. Mackenzie, Alison J. E. Green, et al.. (2024). Interpretable deep learning survival predictions in sporadic Creutzfeldt–Jakob disease. Journal of Neurology. 272(1). 62–62. 1 indexed citations
4.
Marshall, Alan, et al.. (2024). Income Trajectories and Precarity in Later life. Journal of Population Ageing. 17(2). 335–363. 2 indexed citations
5.
Johnson, Lara, Bruce Guthrie, Paul A. Kelly, et al.. (2024). Frailty or frailties: exploring frailty index subdimensions in the English Longitudinal Study of Ageing. Journal of Epidemiology & Community Health. 78(10). 609–615. 2 indexed citations
6.
Ho, Leonard, Carys Pugh, Sohan Seth, et al.. (2024). Performance of models for predicting 1-year to 3-year mortality in older adults: a systematic review of externally validated models. The Lancet Healthy Longevity. 5(3). e227–e235. 6 indexed citations
7.
Pugh, Carys, et al.. (2024). Frailty before and during austerity: A time series analysis of the English Longitudinal Study of Ageing 2002–2018. PLoS ONE. 19(2). e0296014–e0296014. 2 indexed citations
8.
Zhang, Ruizhi, Sohan Seth, & James Cumby. (2022). Grouped representation of interatomic distances as a similarity measure for crystal structures. Digital Discovery. 2(1). 81–90. 4 indexed citations
9.
10.
Blomstedt, Paul, Ritabrata Dutta, Sohan Seth, Alvis Brāzma, & Samuel Kaski. (2016). Modelling-based experiment retrieval: a case study with gene expression clustering. Bioinformatics. 32(9). 1388–1394. 8 indexed citations
11.
Seth, Sohan & José C. Prı́ncipe. (2014). Learning dependence from samples. International Journal of Bioinformatics Research and Applications. 10(1). 43–43. 2 indexed citations
12.
Fadlallah, Bilal, Austin J. Brockmeier, Sohan Seth, et al.. (2012). Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE. 457 indexed citations breakdown →
13.
Fadlallah, Bilal, Sohan Seth, Andreas Keil, & José C. Prı́ncipe. (2012). Quantifying Cognitive State From EEG Using Dependence Measures. IEEE Transactions on Biomedical Engineering. 59(10). 2773–2781. 19 indexed citations
14.
Pokharel, Reeju, Sohan Seth, & J.C. Principe. (2011). Neural Networks (IJCNN), The 2011 International Joint Conference on. 377 indexed citations breakdown →
15.
Park, Il Memming, Sohan Seth, Murali Rao, & José C. Prı́ncipe. (2011). Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on. International Conference on Acoustics, Speech, and Signal Processing. 2 indexed citations
16.
Bolón‐Canedo, Verónica, Sohan Seth, Noelia Sánchez‐Maroño, Amparo Alonso‐Betanzos, & José C. Prı́ncipe. (2011). Statistical dependence measure for feature selection in microarray datasets.. The European Symposium on Artificial Neural Networks. 12 indexed citations
17.
Seth, Sohan, Il Memming Park, Austin J. Brockmeier, et al.. (2010). A novel family of non-parametric cumulative based divergences for point processes. Neural Information Processing Systems. 23. 2119–2127. 4 indexed citations
18.
Seth, Sohan & José C. Prı́ncipe. (2010). Machine learning and applications (icmla), 2010 ninth international conference on. 17 indexed citations
19.
Seth, Sohan, et al.. (2009). Estimation of instantaneous power in the EEG to assess brain connectivity with high temporal resolution. PubMed. 2009. 332–335. 6 indexed citations
20.
Seth, Sohan & José C. Prı́ncipe. (2008). Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on. International Conference on Acoustics, Speech, and Signal Processing. 4 indexed citations

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.

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