D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 64 Citations 15,874 564 World Ranking 1213 National Ranking 28

Research.com Recognitions

Awards & Achievements

2004 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to the formulation and extraction of semantics in multimedia data.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Machine learning

The scientist’s investigation covers issues in Artificial intelligence, Machine learning, Computer vision, Hidden Markov model and Data mining. Artificial intelligence and Pattern recognition are frequently intertwined in his study. His Machine learning research is multidisciplinary, incorporating elements of Inference and Set.

His study on Motion detection, Cognitive neuroscience of visual object recognition and Film grammar is often connected to Obstacle as part of broader study in Computer vision. His Hidden Markov model research also works with subjects such as

  • Multinomial distribution most often made with reference to Hidden semi-Markov model,
  • Dynamic Bayesian network that intertwine with fields like Probabilistic logic. His biological study spans a wide range of topics, including Bottleneck, Benchmark, Search engine indexing and Compressed sensing.

His most cited work include:

  • Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016 (2465 citations)
  • Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016 (1628 citations)
  • Video abstraction: A systematic review and classification (713 citations)

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

Svetha Venkatesh focuses on Artificial intelligence, Machine learning, Computer vision, Data mining and Pattern recognition. His study ties his expertise on Natural language processing together with the subject of Artificial intelligence. The concepts of his Machine learning study are interwoven with issues in Structure and Probabilistic logic.

His study connects Cluster analysis and Data mining. His study on Pattern recognition is mostly dedicated to connecting different topics, such as Facial recognition system. His Hidden Markov model study frequently draws connections to adjacent fields such as Activity recognition.

He most often published in these fields:

  • Artificial intelligence (53.55%)
  • Machine learning (23.23%)
  • Computer vision (15.56%)

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

  • Artificial intelligence (53.55%)
  • Machine learning (23.23%)
  • Bayesian optimization (4.69%)

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

His primary areas of investigation include Artificial intelligence, Machine learning, Bayesian optimization, Mathematical optimization and Bayesian probability. He combines subjects such as Graph and Pattern recognition with his study of Artificial intelligence. His studies deal with areas such as Set and Reinforcement learning as well as Graph.

His Machine learning research focuses on subjects like Sample, which are linked to Data point. Svetha Venkatesh has included themes like Linear subspace, Global optimization, Benchmark, Rate of convergence and Optimization problem in his Bayesian optimization study. His work in Mathematical optimization tackles topics such as Regret which are related to areas like Space and Sampling.

Between 2018 and 2021, his most popular works were:

  • The impact of air pollution on deaths, disease burden, and life expectancy across the states of India: the Global Burden of Disease Study 2017 (228 citations)
  • Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection (117 citations)
  • Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos (49 citations)

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

  • Artificial intelligence
  • Statistics
  • Machine learning

His scientific interests lie mostly in Artificial intelligence, Bayesian optimization, Machine learning, Mathematical optimization and Theoretical computer science. His work carried out in the field of Artificial intelligence brings together such families of science as Natural language processing and Pattern recognition. The various areas that Svetha Venkatesh examines in his Bayesian optimization study include Hyperparameter, Global optimization and Benchmark.

His Machine learning study combines topics in areas such as Abstraction and Drug repositioning. His Mathematical optimization study integrates concerns from other disciplines, such as Probability distribution, Regret and Bayesian probability. His Theoretical computer science study also includes

  • Sequence learning, which have a strong connection to Artificial neural network and Optimization problem,
  • Leverage, which have a strong connection to Training set, Statistical learning theory and Directional derivative,
  • Memorization which intersects with area such as Content-addressable memory.

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

Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Theo Vos;Amanuel Alemu Abajobir;Kalkidan Hassen Abate;Cristiana Abbafati.
The Lancet (2017)

4576 Citations

Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Simon I Hay;Amanuel Alemu Abajobir;Kalkidan Hassen Abate;Cristiana Abbafati.
The Lancet (2017)

1628 Citations

Video abstraction: A systematic review and classification

Ba Tu Truong;Svetha Venkatesh.
ACM Transactions on Multimedia Computing, Communications, and Applications (2007)

992 Citations

Activity recognition and abnormality detection with the switching hidden semi-Markov model

T.V. Duong;H.H. Bui;D.Q. Phung;S. Venkatesh.
computer vision and pattern recognition (2005)

719 Citations

Learning and detecting activities from movement trajectories using the hierarchical hidden Markov model

N.T. Nguyen;D.Q. Phung;S. Venkatesh;H. Bui.
computer vision and pattern recognition (2005)

460 Citations

Nations within a nation: variations in epidemiological transition across the states of India, 1990–2016 in the Global Burden of Disease Study

Lalit Dandona;Rakhi Dandona;G Anil Kumar;D K Shukla.
The Lancet (2017)

445 Citations

Policy recognition in the abstract hidden Markov model

Hung H. Bui;Svetha Venkatesh;Geoff West.
Journal of Artificial Intelligence Research (2002)

386 Citations

Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression

Senjian An;Wanquan Liu;Svetha Venkatesh.
Pattern Recognition (2007)

302 Citations

Joint learning and dictionary construction for pattern recognition

Duc-Son Pham;S. Venkatesh.
computer vision and pattern recognition (2008)

285 Citations

The impact of air pollution on deaths, disease burden, and life expectancy across the states of India: the Global Burden of Disease Study 2017

Kalpana Balakrishnan;Sagnik Dey;Tarun Gupta;R S Dhaliwal.
The Lancet Planetary Health (2019)

278 Citations

Best Scientists Citing Svetha Venkatesh

Simon I. Hay

Simon I. Hay

University of Washington

Publications: 80

Christopher J L Murray

Christopher J L Murray

University of Washington

Publications: 73

Ali H. Mokdad

Ali H. Mokdad

University of Washington

Publications: 65

Theo Vos

Theo Vos

University of Washington

Publications: 58

Mohsen Naghavi

Mohsen Naghavi

University of Washington

Publications: 55

Timothy J. Steiner

Timothy J. Steiner

Norwegian University of Science and Technology

Publications: 47

Peter J. Hotez

Peter J. Hotez

Baylor College of Medicine

Publications: 45

Rakhi Dandona

Rakhi Dandona

Public Health Foundation of India

Publications: 45

Peter Corcoran

Peter Corcoran

National University of Ireland, Galway

Publications: 43

Benn Sartorius

Benn Sartorius

University of London

Publications: 41

Amir Kasaeian

Amir Kasaeian

Tehran University of Medical Sciences

Publications: 39

Mandyam V. Srinivasan

Mandyam V. Srinivasan

University of Queensland

Publications: 38

Bach Xuan Tran

Bach Xuan Tran

Hanoi Medical University

Publications: 37

Dorairaj Prabhakaran

Dorairaj Prabhakaran

Public Health Foundation of India

Publications: 35

Florian Fischer

Florian Fischer

Charité - University Medicine Berlin

Publications: 34

Eran Steinberg

Eran Steinberg

National University of Ireland, Galway

Publications: 34

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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