Jasjit S. Suri

2.3k total citations · 1 hit paper
30 papers, 1.5k citations indexed

About

Jasjit S. Suri is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jasjit S. Suri has authored 30 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jasjit S. Suri's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Image Segmentation Techniques (4 papers) and Medical Imaging Techniques and Applications (3 papers). Jasjit S. Suri is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Image Segmentation Techniques (4 papers) and Medical Imaging Techniques and Applications (3 papers). Jasjit S. Suri collaborates with scholars based in United States, Italy and India. Jasjit S. Suri's co-authors include U. Rajendra Acharya, Roshan Joy Martis, G. Swapna, S. Vinitha Sree, S. Laxminarayan, Laura Reden, Kecheng Liu, Luca Saba, Xiaolan Zeng and Sameer Singh and has published in prestigious journals such as Knowledge-Based Systems, Cancers and Neural Computing and Applications.

In The Last Decade

Jasjit S. Suri

29 papers receiving 1.4k citations

Hit Papers

Automated EEG analysis of epilepsy: A review 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jasjit S. Suri United States 15 548 379 351 316 262 30 1.5k
Narendra D. Londhe India 25 231 0.4× 492 1.3× 256 0.7× 206 0.7× 438 1.7× 125 1.9k
Hanung Adi Nugroho Indonesia 21 299 0.5× 641 1.7× 616 1.8× 173 0.5× 475 1.8× 287 2.0k
Farhan Riaz Pakistan 16 267 0.5× 127 0.3× 317 0.9× 230 0.7× 336 1.3× 74 1.2k
Navid Ghassemi Iran 16 698 1.3× 333 0.9× 368 1.0× 188 0.6× 422 1.6× 23 1.5k
Joel E.W. Koh Singapore 29 1.2k 2.1× 877 2.3× 437 1.2× 315 1.0× 399 1.5× 61 2.9k
Sanjiv Bhatia United States 27 333 0.6× 298 0.8× 253 0.7× 83 0.3× 165 0.6× 110 2.2k
Bikesh Kumar Singh India 22 162 0.3× 567 1.5× 304 0.9× 77 0.2× 583 2.2× 100 1.4k
Dulani Meedeniya Sri Lanka 23 286 0.5× 358 0.9× 376 1.1× 118 0.4× 319 1.2× 122 1.5k
Md Saiful Islam Saudi Arabia 18 229 0.4× 128 0.3× 204 0.6× 159 0.5× 158 0.6× 72 1.0k
Gloria Menegaz Italy 20 302 0.6× 382 1.0× 431 1.2× 114 0.4× 279 1.1× 132 1.6k

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.
Nayak, Debasish Swapnesh Kumar, Santanu Kumar Sahoo, Mostafa M. Fouda, et al.. (2024). aiGeneR 1.0: An Artificial Intelligence Technique for the Revelation of Informative and Antibiotic Resistant Genes in Escherichia coli. Frontiers in Bioscience-Landmark. 29(2). 82–82. 10 indexed citations
2.
Gupta, Suneet Kumar, M. Suresh, Luca Saba, et al.. (2024). Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review. Artificial Intelligence Review. 57(9). 17 indexed citations
3.
Nagwani, Naresh Kumar & Jasjit S. Suri. (2023). An artificial intelligence framework on software bug triaging, technological evolution, and future challenges: A review. International Journal of Information Management Data Insights. 3(1). 100153–100153. 17 indexed citations
4.
Dubey, Arun Kumar, Narendra N. Khanna, John R. Laird, et al.. (2023). DermAI 1.0: A Robust, Generalized, and Novel Attention-Enabled Ensemble-Based Transfer Learning Paradigm for Multiclass Classification of Skin Lesion Images. Diagnostics. 13(19). 3159–3159. 11 indexed citations
5.
Singh, Narpinder, et al.. (2023). Attention-Enabled Ensemble Deep Learning Models and Their Validation for Depression Detection: A Domain Adoption Paradigm. Diagnostics. 13(12). 2092–2092. 17 indexed citations
6.
Saxena, Sanjay, Biswajit Jena, Neha Gupta, et al.. (2022). Role of Artificial Intelligence in Radiogenomics for Cancers in the Era of Precision Medicine. Cancers. 14(12). 2860–2860. 66 indexed citations
7.
Jena, Biswajit, Sanjay Saxena, Gopal Krishna Nayak, et al.. (2022). Brain Tumor Characterization Using Radiogenomics in Artificial Intelligence Framework. Cancers. 14(16). 4052–4052. 44 indexed citations
8.
9.
Corrias, Giuseppe, et al.. (2021). Texture analysis imaging “what a clinical radiologist needs to know”. European Journal of Radiology. 146. 110055–110055. 38 indexed citations
10.
Marcia, Stefano, et al.. (2016). Percutaneous stabilization of lumbar spine: a literature review and new options in treating spine pain. British Journal of Radiology. 89(1065). 20150436–20150436. 11 indexed citations
11.
Noor, Norliza Mohd, Omar Mohd Rijal, Amir A. Zeki, et al.. (2015). Automatic Lung Segmentation Using Control Feedback System: Morphology and Texture Paradigm. Journal of Medical Systems. 39(3). 22–22. 61 indexed citations
12.
Acharya, U. Rajendra, et al.. (2014). Ophthalmology imaging and applications. Taylor & Francis eBooks. 2 indexed citations
13.
Ng, E. Y. K., U. Rajendra Acharya, Jasjit S. Suri, & Aurélio Campilho. (2014). Image Analysis and Modeling in Ophthalmology. Discovery Research Portal (University of Dundee). 30 indexed citations
14.
Suri, Jasjit S. & Aly A. Farag. (2007). Biomedical and clinical applications. Springer eBooks. 1 indexed citations
15.
Kumar, Dinesh, et al.. (2007). Motion Correction Strategies for Interventional Angiography Images: A Comparative Approach. Proceedings - International Conference on Image Processing. 4. I – 497. 3 indexed citations
16.
Suri, Jasjit S., Kecheng Liu, Laura Reden, & S. Laxminarayan. (2002). A review on MR vascular image processing: skeleton versus nonskeleton approaches: part II. IEEE Transactions on Information Technology in Biomedicine. 6(4). 338–350. 86 indexed citations
17.
Suri, Jasjit S., Kecheng Liu, Laura Reden, & S. Laxminarayan. (2002). A review on MR vascular image processing algorithms: acquisition and prefiltering: part I. IEEE Transactions on Information Technology in Biomedicine. 6(4). 324–337. 44 indexed citations
18.
Suri, Jasjit S., Kecheng Liu, Laura Reden, & S. Laxminarayan. (2002). White and black blood volumetric angiographic filtering: ellipsoidal scale-space approach. IEEE Transactions on Information Technology in Biomedicine. 6(2). 142–158. 9 indexed citations
19.
Suri, Jasjit S., Kecheng Liu, Sameer Singh, et al.. (2002). Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review. IEEE Transactions on Information Technology in Biomedicine. 6(1). 8–28. 208 indexed citations
20.
Suri, Jasjit S., et al.. (1991). <title>Fractal analysis as a means for the quantification of intramandibular trabecular bone loss from dental radiographs</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1380. 227–235. 10 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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