H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 59 Citations 14,368 250 World Ranking 1616 National Ranking 899


What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Internal medicine
  • Radiology

His primary areas of investigation include Artificial intelligence, Computer vision, Pattern recognition, Support vector machine and Image segmentation. His Artificial intelligence research integrates issues from Machine learning and Ultrasound. The Computer vision study which covers Medical imaging that intersects with Object, Reference frame, Motion correction, Image enhancement and Noise reduction.

His Pattern recognition research includes elements of Sample entropy, Frequency domain and Approximate entropy. His studies in Support vector machine integrate themes in fields like Speech recognition and Electroencephalography. His work deals with themes such as Fuzzy set and Algorithm, which intersect with Image segmentation.

His most cited work include:

  • Heart rate variability: a review (1555 citations)
  • Automated diagnosis of epileptic EEG using entropies (385 citations)
  • Automated EEG analysis of epilepsy: A review (364 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Artificial intelligence, Radiology, Computer vision, Ultrasound and Pattern recognition. His work on Machine learning expands to the thematically related Artificial intelligence. Jasjit S. Suri has included themes like Cancer, Prostate and Asymptomatic in his Radiology study.

The Computer vision study combines topics in areas such as Volume and Medical imaging. His work carried out in the field of Ultrasound brings together such families of science as Carotid arteries, Common carotid artery, Nuclear medicine, Stroke and Biomedical engineering. Pattern recognition and Contextual image classification are frequently intertwined in his study.

He most often published in these fields:

  • Artificial intelligence (41.18%)
  • Radiology (24.54%)
  • Computer vision (22.92%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (41.18%)
  • Internal medicine (10.55%)
  • Stroke (6.90%)

In recent papers he was focusing on the following fields of study:

Jasjit S. Suri spends much of his time researching Artificial intelligence, Internal medicine, Stroke, Cardiology and Disease. The various areas that Jasjit S. Suri examines in his Artificial intelligence study include Machine learning, Ultrasound and Pattern recognition. His Ultrasound study integrates concerns from other disciplines, such as Asymptomatic, Medical imaging and Lipid core.

The study incorporates disciplines such as Diabetes mellitus and Differential diagnosis in addition to Internal medicine. His Stroke research includes themes of Odds ratio, Framingham Risk Score, Receiver operating characteristic, Risk assessment and Intima-media thickness. Jasjit S. Suri focuses mostly in the field of Disease, narrowing it down to topics relating to Stroke risk and, in certain cases, Risk stratification and Mean age.

Between 2018 and 2021, his most popular works were:

  • The present and future of deep learning in radiology. (87 citations)
  • A Review on a Deep Learning Perspective in Brain Cancer Classification (65 citations)
  • State-of-the-art review on deep learning in medical imaging. (41 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Internal medicine
  • Magnetic resonance imaging

His primary areas of study are Artificial intelligence, Stroke, Internal medicine, Risk assessment and Cardiology. Artificial intelligence is closely attributed to Machine learning in his work. His research in Stroke intersects with topics in Intima-media thickness, Ultrasound and Receiver operating characteristic.

Jasjit S. Suri interconnects Angiology and Disease in the investigation of issues within Risk assessment. Jasjit S. Suri combines subjects such as Body mass index and Asymptomatic with his study of Cardiology. His studies deal with areas such as Ranking, Feature selection and Wilcoxon signed-rank test as well as Support vector machine.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Heart rate variability: a review

U. Rajendra Acharya;K. Paul Joseph;N. Kannathal;Choo Min Lim.
Medical & Biological Engineering & Computing (2006)

2433 Citations

Heart Rate Variability

U. Rajendra Acharya;K Paul Joseph;N. Kannathal;Lim Choo Min.

1713 Citations

Automated diagnosis of epileptic EEG using entropies

U. Rajendra Acharya;Filippo Molinari;S. Vinitha Sree;Subhagata Chattopadhyay.
Biomedical Signal Processing and Control (2012)

473 Citations

Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review

J.S. Suri;Kecheng Liu;S. Singh;S.N. Laxminarayan.
international conference of the ieee engineering in medicine and biology society (2002)

448 Citations

Automated EEG analysis of epilepsy: A review

U. Rajendra Acharya;S. Vinitha Sree;G. Swapna;Roshan Joy Martis.
Knowledge Based Systems (2013)

441 Citations

Handbook of Texture Analysis

Majid Mirmehdi;Xianghua Xie;Jasjit Suri.

297 Citations

Algorithms for the Automated Detection of Diabetic Retinopathy Using Digital Fundus Images: A Review

Oliver Faust;U Rajendra Acharya;E. Y. Ng;Kwan-Hoong Ng.
Journal of Medical Systems (2012)

272 Citations

Application of non-linear and wavelet based features for the automated identification of epileptic EEG signals.

U. Rajendra Acharya;S. Vinitha Sree;Peng Chuan Alvin Ang;Ratna Yanti.
International Journal of Neural Systems (2012)

271 Citations

Review: A state of the art review on intima-media thickness (IMT) measurement and wall segmentation techniques for carotid ultrasound

Filippo Molinari;Guang Zeng;Jasjit S. Suri.
Computer Methods and Programs in Biomedicine (2010)

231 Citations

Data mining technique for automated diagnosis of glaucoma using higher order spectra and wavelet energy features

Muthu Rama Krishnan Mookiah;U. Rajendra Acharya;Choo Min Lim;Andrea Petznick.
Knowledge Based Systems (2012)

195 Citations

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