D-Index & Metrics Best Publications
Research.com 2023 Best Scientist Award Badge
Computer Science
USA
2023

D-Index & Metrics 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.

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 203 Citations 250,990 970 World Ranking 1 National Ranking 1
Best Scientists D-index 203 Citations 251,059 984 World Ranking 141 National Ranking 99

Research.com Recognitions

Awards & Achievements

2023 - Research.com Best Scientist Award

2023 - Research.com Computer Science in United States Leader Award

2022 - Research.com Best Scientist Award

2022 - Research.com Computer Science in United States Leader Award

2019 - Fellow, The World Academy of Sciences

2016 - Member of the National Academy of Engineering For contributions to the engineering and practice of biometrics.

2015 - Fellow, National Academy of Inventors

2008 - IAPR King-Sun Fu Prize

2007 - W. Wallace McDowell Award, IEEE Computer Society For pioneering contributions to theory, technique, and practice of pattern recognition, computer vision, and biometric recognition systems.

2006 - SPIE Fellow

2005 - Fellow of the American Association for the Advancement of Science (AAAS)

2003 - ACM Fellow For contributions in Pattern Recognition theory.

2003 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For contributions to pattern recognition theory and application to biometric authentication

2001 - Fellow of John Simon Guggenheim Memorial Foundation

1996 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to statistical pattern recognition and range data analysis and for service to IAPR

1991 - IEEE Fellow For contributions to statistical pattern recognition and image processing.

Fellow of the Indian National Academy of Engineering (INAE)

Foreign Member, Chinese Academy of Sciences

Overview

What is he best known for?

The fields of study Anil K. Jain is best known for:

  • Machine learning
  • Statistics
  • Computer vision

Anil K. Jain integrates Artificial intelligence with Algorithm in his research. In his works, Anil K. Jain undertakes multidisciplinary study on Algorithm and Artificial intelligence. His research on Pattern recognition (psychology) frequently connects to adjacent areas such as Facial recognition system. His study connects Pattern recognition (psychology) and Facial recognition system. His Computer vision study frequently draws connections between related disciplines such as Image (mathematics). His studies link Computer vision with Image (mathematics). Anil K. Jain integrates many fields, such as Statistics and Matching (statistics), in his works. In his study, he carries out multidisciplinary Matching (statistics) and Statistics research. His Fingerprint (computing) study frequently draws connections between related disciplines such as Fingerprint recognition.

His most cited work include:

  • Data clustering (11812 citations)
  • Statistical pattern recognition: a review (5555 citations)
  • An Introduction to Biometric Recognition (3920 citations)

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

Anil K. Jain mostly deals with Artificial intelligence, Quantum mechanics, Organic chemistry, Biochemistry and Computer vision. Anil K. Jain combines topics linked to Artificial intelligence with his work on Pattern recognition (psychology).

Anil K. Jain most often published in these fields:

  • Artificial intelligence (24.26%)
  • Quantum mechanics (18.57%)
  • Pattern recognition (psychology) (15.81%)

What were the highlights of his more recent work (between 2013-2022)?

  • Nuclear physics (22.08%)
  • Atomic physics (15.58%)
  • Ecology (14.29%)

In recent works Anil K. Jain was focusing on the following fields of study:

Anil K. Jain spends much of his time researching Nuclear physics, Atomic physics, Ecology, Quantum mechanics, Internal medicine, Biochemistry, Genetics, Pathology and Organic chemistry. His work blends Neutron and Nuclear physics studies together.

Between 2013 and 2022, his most popular works were:

  • Global carbon budget 2014 (449 citations)
  • Global carbon budget 2013 (306 citations)
  • Direct and seasonal legacy effects of the 2018 heat wave and drought on European ecosystem productivity (167 citations)

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

  • Gene
  • Bacteria
  • Computer network

His work on Quantum mechanics is typically connected to Artificial intelligence as part of general Power (physics) study, connecting several disciplines of science. His research brings together the fields of Power (physics) and Quantum mechanics. In his works, he conducts interdisciplinary research on Ecology and Carbon cycle. Anil K. Jain performs multidisciplinary study on Carbon cycle and Global warming in his works. Anil K. Jain conducted interdisciplinary study in his works that combined Global warming and Climate model. He integrates Climate model with Greenhouse gas in his study. His work blends Greenhouse gas and Carbon sink studies together. Anil K. Jain conducts interdisciplinary study in the fields of Carbon sink and Ecosystem through his works. In his study, he carries out multidisciplinary Ecosystem and Climate change research.

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

Data clustering: a review

A. K. Jain;M. N. Murty;P. J. Flynn.
ACM Computing Surveys (1999)

18924 Citations

Algorithms for clustering data

Anil K. Jain;Richard C. Dubes.
(1988)

15940 Citations

Fundamentals of digital image processing

Anil K. Jain.
(1988)

12948 Citations

Data clustering: 50 years beyond K-means

Anil K. Jain.
international conference on pattern recognition (2010)

9862 Citations

Statistical pattern recognition: a review

A.K. Jain;R.P.W. Duin;Jianchang Mao.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2000)

8977 Citations

An introduction to biometric recognition

A.K. Jain;A. Ross;S. Prabhakar.
IEEE Transactions on Circuits and Systems for Video Technology (2004)

6974 Citations

Handbook of Fingerprint Recognition

Davide Maltoni;Dario Maio;Anil K. Jain;Salil Prabhakar.
(2005)

6250 Citations

Artificial neural networks: a tutorial

A.K. Jain;Jianchang Mao;K.M. Mohiuddin.
computational science and engineering (1996)

3835 Citations

Biometrics: Personal Identification in Networked Society

Anil K. Jain;Ruud Bolle;Sharath Pankanti.
(2013)

3618 Citations

Fingerprint image enhancement: algorithm and performance evaluation

Lin Hong;Yifei Wan;A. Jain.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1998)

3427 Citations

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