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 45 Citations 12,736 105 World Ranking 3652 National Ranking 1851

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

R. Manmatha spends much of his time researching Artificial intelligence, Pattern recognition, Image retrieval, Search engine indexing and Natural language processing. R. Manmatha focuses mostly in the field of Artificial intelligence, narrowing it down to matters related to Computer vision and, in some cases, Redundancy. His work on Image segmentation, Dynamic time warping and Image texture as part of his general Pattern recognition study is frequently connected to Simple, thereby bridging the divide between different branches of science.

His studies deal with areas such as Feature and Cluster analysis as well as Image retrieval. His biological study spans a wide range of topics, including Feature detection and Feature vector. His Visual Word research incorporates elements of Information retrieval, Statistical model and Test set.

His most cited work include:

  • Automatic image annotation and retrieval using cross-media relevance models (1112 citations)
  • Multiple Bernoulli relevance models for image and video annotation (792 citations)
  • A Model for Learning the Semantics of Pictures (679 citations)

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

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Information retrieval, Image retrieval and Natural language processing. He focuses mostly in the field of Artificial intelligence, narrowing it down to topics relating to Computer vision and, in certain cases, Redundancy. His work deals with themes such as Contextual image classification and Histogram, which intersect with Pattern recognition.

His study explores the link between Information retrieval and topics such as World Wide Web that cross with problems in Focus. His research in Image retrieval is mostly focused on Visual Word. The study incorporates disciplines such as Data mining, Feature, Annotation, Feature detection and Image texture in addition to Automatic image annotation.

He most often published in these fields:

  • Artificial intelligence (60.66%)
  • Pattern recognition (30.33%)
  • Information retrieval (29.51%)

What were the highlights of his more recent work (between 2013-2020)?

  • Artificial intelligence (60.66%)
  • Machine learning (9.02%)
  • Pattern recognition (30.33%)

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

R. Manmatha focuses on Artificial intelligence, Machine learning, Pattern recognition, Deep learning and Image retrieval. His Artificial intelligence research incorporates themes from Computer vision and Natural language processing. His Feature vector study, which is part of a larger body of work in Pattern recognition, is frequently linked to Simple, bridging the gap between disciplines.

His Image retrieval study incorporates themes from Ranking, Field, Ranking and World Wide Web. His work in Automatic image annotation addresses subjects such as Annotation, which are connected to disciplines such as Discriminative model, Support vector machine and Search engine indexing. His Word study integrates concerns from other disciplines, such as Calibration, Information retrieval, Spotting and Text recognition.

Between 2013 and 2020, his most popular works were:

  • Sampling Matters in Deep Embedding Learning (427 citations)
  • Compressed Video Action Recognition (150 citations)
  • ResNeSt: Split-Attention Networks (144 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

His primary scientific interests are in Artificial intelligence, Machine learning, Pattern recognition, Block and Contextual image classification. His study looks at the relationship between Artificial intelligence and fields such as Computer vision, as well as how they intersect with chemical problems. His Machine learning study combines topics in areas such as Facial recognition system and Image retrieval.

He interconnects Annotation and Curse of dimensionality in the investigation of issues within Pattern recognition. His research in Contextual image classification intersects with topics in Class, Data mining, Disjoint sets and Benchmark. His Automatic image annotation research integrates issues from Relevance, Discriminative model and 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

Automatic image annotation and retrieval using cross-media relevance models

J. Jeon;V. Lavrenko;R. Manmatha.
international acm sigir conference on research and development in information retrieval (2003)

1723 Citations

Multiple Bernoulli relevance models for image and video annotation

S.L. Feng;R. Manmatha;V. Lavrenko.
computer vision and pattern recognition (2004)

1127 Citations

A Model for Learning the Semantics of Pictures

Victor Lavrenko;R. Manmatha;Jiwoon Jeon.
neural information processing systems (2003)

955 Citations

Word image matching using dynamic time warping

T.M. Rath;R. Manmatha.
computer vision and pattern recognition (2003)

777 Citations

Textfinder: an automatic system to detect and recognize text in images

V. Wu;R. Manmatha;E.M. Riseman.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1999)

600 Citations

Word spotting for historical documents

Toni M. Rath;R. Manmatha.
International Journal on Document Analysis and Recognition (2007)

509 Citations

Sampling Matters in Deep Embedding Learning

R. Manmatha;Chao-Yuan Wu;Alexander J. Smola;Philipp Krahenbuhl.
international conference on computer vision (2017)

454 Citations

Finding text in images

Victor Wu;R. Manmatha;Edward M. Riseman.
acm international conference on digital libraries (1997)

366 Citations

Word spotting: a new approach to indexing handwriting

R. Manmatha;Chengfeng Han;E.M. Riseman.
computer vision and pattern recognition (1996)

335 Citations

Features for word spotting in historical manuscripts

T.M. Rath;R. Manmatha.
international conference on document analysis and recognition (2003)

318 Citations

Best Scientists Citing R. Manmatha

C. V. Jawahar

C. V. Jawahar

International Institute of Information Technology, Hyderabad

Publications: 62

Josep Lladós

Josep Lladós

Autonomous University of Barcelona

Publications: 46

Umapada Pal

Umapada Pal

Indian Statistical Institute

Publications: 43

Basilis Gatos

Basilis Gatos

National Centre of Scientific Research Demokritos

Publications: 32

Venu Govindaraju

Venu Govindaraju

University at Buffalo, State University of New York

Publications: 31

Gernot A. Fink

Gernot A. Fink

TU Dortmund University

Publications: 29

Tat-Seng Chua

Tat-Seng Chua

National University of Singapore

Publications: 29

Wei-Ying Ma

Wei-Ying Ma

Tsinghua University

Publications: 25

Horst Bunke

Horst Bunke

University of Bern

Publications: 24

Eamonn Keogh

Eamonn Keogh

University of California, Riverside

Publications: 23

Hong-Jiang Zhang

Hong-Jiang Zhang

ByteDance

Publications: 22

Xian-Sheng Hua

Xian-Sheng Hua

Microsoft (United States)

Publications: 22

Alexander G. Hauptmann

Alexander G. Hauptmann

Carnegie Mellon University

Publications: 22

Enrique Vidal

Enrique Vidal

Universitat Politècnica de València

Publications: 20

Chew Lim Tan

Chew Lim Tan

National University of Singapore

Publications: 20

Cheng-Lin Liu

Cheng-Lin Liu

Chinese Academy of Sciences

Publications: 20

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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