Jasjit S. Suri

23.9k total citations · 4 hit papers
436 papers, 15.2k citations indexed

About

Jasjit S. Suri is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jasjit S. Suri has authored 436 papers receiving a total of 15.2k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Pulmonary and Respiratory Medicine, 181 papers in Cardiology and Cardiovascular Medicine and 176 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jasjit S. Suri's work include Cerebrovascular and Carotid Artery Diseases (159 papers), Cardiovascular Health and Disease Prevention (133 papers) and Cardiac Imaging and Diagnostics (71 papers). Jasjit S. Suri is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (159 papers), Cardiovascular Health and Disease Prevention (133 papers) and Cardiac Imaging and Diagnostics (71 papers). Jasjit S. Suri collaborates with scholars based in United States, Italy and India. Jasjit S. Suri's co-authors include U. Rajendra Acharya, Luca Saba, Filippo Molinari, Choo Min Lim, N. Kannathal, K. Paul Joseph, S. Vinitha Sree, Andrew Nicolaides, John R. Laird and Luca Saba and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of the American College of Cardiology.

In The Last Decade

Jasjit S. Suri

420 papers receiving 14.8k citations

Hit Papers

Heart rate variability: a review 2006 2026 2012 2019 2006 2011 2019 2022 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Heart rate variability: a review
    2006 2.0k citations Jasjit S. Suri et al. profile →
  2. Automated diagnosis of epileptic EEG using entropies
    2011 468 citations Jasjit S. Suri et al. Biomedical Signal Processing and Control profile →
  3. A Review on a Deep Learning Perspective in Brain Cancer Classification
    2019 309 citations Mainak Biswas, Harman S. Suri et al. profile →
  4. Human activity recognition in artificial intelligence framework: a narrative review
    2022 176 citations Neha Gupta, Suneet Gupta et al. profile →

Peers

Jasjit S. Suri
Wiro J. Niessen Netherlands
Ru‐San Tan Singapore
Filippo Molinari Italy
Alejandro F. Frangi United Kingdom
Guang Yang United Kingdom
Aad van der Lugt Netherlands
Luca Saba Italy
Johan H. C. Reiber Netherlands
Peter Liu Canada
Matthew A. Brown United Kingdom
Wiro J. Niessen Netherlands
Jasjit S. Suri
Citations per year, relative to Jasjit S. Suri Jasjit S. Suri (= 1×) peers Wiro J. Niessen

Countries citing papers authored by Jasjit S. Suri

Since Specialization
Citations

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

Fields of papers citing papers by Jasjit S. Suri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jasjit S. Suri. 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 Jasjit S. Suri. The network helps show where Jasjit S. Suri may publish in the future.

Co-authorship network of co-authors of Jasjit S. Suri

This figure shows the co-authorship network connecting the top 25 collaborators of Jasjit S. Suri. A scholar is included among the top collaborators of Jasjit S. Suri 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 Jasjit S. Suri. Jasjit S. Suri 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.
Tiwari, Ekta, Mustafa Al-Maini, Vijay Rathore, et al.. (2025). StockAI 3.0: Ensemble fusion paradigms using novel gating mechanism in long short-term memory architectures for forecasting sentiment-based stock trends. Soft Computing. 29(21-22). 5803–5829.
2.
Kalra, Mannudeep K., et al.. (2025). Optimal feature selection for medical image fusion using deep learning with transformer. Biomedical Signal Processing and Control. 111. 108377–108377.
3.
Faa, Gavino, Riccardo Cau, Alberto Ravarino, et al.. (2024). Lessons from autopsy: Topographical variability of atherosclerosis plaques. Journal of public health research. 13(2). 1214350715–1214350715. 3 indexed citations
4.
Porcu, Michele, Matteo Piga, Lorenzo Mannelli, et al.. (2024). Structural Brain MR Imaging Alterations in Patients with Systemic Lupus Erythematosus with and without Neuropsychiatric Events. American Journal of Neuroradiology. 45(6). 802–808. 2 indexed citations
5.
6.
Biswas, Mainak & Jasjit S. Suri. (2023). Multimodality Imaging, Volume 2. 1 indexed citations
7.
Cau, Riccardo, Pier Paolo Bassareo, Michele Porcu, et al.. (2023). Pulmonary transit time as a marker of diastolic dysfunction in Takotsubo syndrome. Clinical Radiology. 78(11). e823–e830.
8.
Mačvanin, Mirjana, Zoran Gluvić, Manfredi Rizzo, et al.. (2023). SGLT-2 Inhibitors: The Next-generation Treatment for Type 2Diabetes Mellitus. Current Medicinal Chemistry. 31(30). 4781–4806. 6 indexed citations
9.
Saxena, Sanjay, Biswajit Jena, Neha Gupta, et al.. (2023). Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: A neuro-oncological investigation. Computers in Biology and Medicine. 153. 106492–106492. 27 indexed citations
10.
Paul, Sudip, Mahesh Maindarkar, Sanjay Saxena, et al.. (2022). Bias Investigation in Artificial Intelligence Systems for Early Detection of Parkinson’s Disease: A Narrative Review. Diagnostics. 12(1). 166–166. 33 indexed citations
11.
12.
Suri, Jasjit S., Sudip Paul, Mahesh Maindarkar, et al.. (2022). Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review. Metabolites. 12(4). 312–312. 26 indexed citations
13.
Jain, Pankaj K., Neeraj Sharma, Mannudeep K. Kalra, et al.. (2022). Far wall plaque segmentation and area measurement in common and internal carotid artery ultrasound using U-series architectures: An unseen Artificial Intelligence paradigm for stroke risk assessment. Computers in Biology and Medicine. 149. 106017–106017. 25 indexed citations
14.
Porcu, Michele, Sirio Cocozza, Giuseppe Pontillo, et al.. (2021). The association between white matter hyperintensities, cognition and regional neural activity in healthy subjects. European Journal of Neuroscience. 54(4). 5427–5443. 11 indexed citations
15.
Puvvula, Anudeep, Ankush D. Jamthikar, Deep Gupta, et al.. (2020). Morphological Carotid Plaque Area Is Associated With Glomerular Filtration Rate: A Study of South Asian Indian Patients With Diabetes and Chronic Kidney Disease. Angiology. 71(6). 520–535. 20 indexed citations
16.
Viswanathan, Vijay, Ankush D. Jamthikar, Deep Gupta, et al.. (2020). Does the Carotid Bulb Offer a Better 10-Year CVD/Stroke Risk Assessment Compared to the Common Carotid Artery? A 1516 Ultrasound Scan Study. Angiology. 71(10). 920–933. 13 indexed citations
17.
Jamthikar, Ankush D., Deep Gupta, Anudeep Puvvula, et al.. (2020). Cardiovascular risk assessment in patients with rheumatoid arthritis using carotid ultrasound B-mode imaging. Rheumatology International. 40(12). 1921–1939. 29 indexed citations
18.
Porcu, Michele, Max Wintermark, Jasjit S. Suri, & Luca Saba. (2019). The influence of the volumetric composition of the intracranial space on neural activity in healthy subjects: a resting‐state functional magnetic resonance study. European Journal of Neuroscience. 51(9). 1944–1961. 6 indexed citations
19.
Saba, Luca, Lorenzo Mannelli, Antonella Balestrieri, et al.. (2019). CT and MR Imaging of Carotid Wall and Plaque. 11(2). 115–125. 2 indexed citations
20.
Saba, Luca, Mainak Biswas, Venkatanareshbabu Kuppili, et al.. (2019). The present and future of deep learning in radiology. European Journal of Radiology. 114. 14–24. 236 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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