D-Index & Metrics Best Publications

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 46 Citations 13,001 123 World Ranking 4321 National Ranking 2173

Overview

What is he best known for?

The fields of study R. Manmatha is best known for:

  • Computer vision
  • Artificial neural network
  • Speech recognition

R. Manmatha links relevant research areas such as Word (group theory) and Handwriting in the realm of Linguistics. Word (group theory) is closely attributed to Linguistics in his study. His Artificial intelligence study typically links adjacent topics like Pattern recognition (psychology). He combines topics linked to Artificial intelligence with his work on Pattern recognition (psychology). His multidisciplinary approach integrates Natural language processing and Information retrieval in his work. In his articles, he combines various disciplines, including Information retrieval and Natural language processing. Image (mathematics) and Scale space are frequently intertwined in his study. He applies his multidisciplinary studies on Scale space and Image processing in his research. His Image processing study frequently draws connections to adjacent fields such as Image (mathematics).

His most cited work include:

  • Textfinder: an automatic system to detect and recognize text in images (360 citations)
  • A Novel Word Spotting Method Based on Recurrent Neural Networks (246 citations)
  • Word spotting for historical documents (217 citations)

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

In most of his Linguistics studies, his work intersects topics such as Word (group theory) and Handwriting. His Word (group theory) study frequently links to adjacent areas such as Linguistics. He links relevant research areas such as Convolutional neural network and Deep learning in the realm of Machine learning. R. Manmatha merges many fields, such as Deep learning and Machine learning, in his writings. His work blends Artificial intelligence and Algorithm studies together. He brings together Algorithm and Artificial intelligence to produce work in his papers. His work in Image (mathematics) is not limited to one particular discipline; it also encompasses Image processing. He combines Operating system and Scripting language in his studies. He brings together Scripting language and Operating system to produce work in his papers.

R. Manmatha most often published in these fields:

  • Artificial intelligence (88.89%)
  • Pattern recognition (psychology) (74.07%)
  • Image (mathematics) (48.15%)

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)

1758 Citations

Multiple Bernoulli relevance models for image and video annotation

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

1138 Citations

A Model for Learning the Semantics of Pictures

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

962 Citations

Word image matching using dynamic time warping

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

800 Citations

Sampling Matters in Deep Embedding Learning

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

644 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)

610 Citations

Word spotting for historical documents

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

531 Citations

ResNeSt: Split-Attention Networks

Hang Zhang;Chongruo Wu;Zhongyue Zhang;Yi Zhu.
arXiv: Computer Vision and Pattern Recognition (2020)

457 Citations

Finding text in images

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

368 Citations

A Novel Word Spotting Method Based on Recurrent Neural Networks

V. Frinken;A. Fischer;R. Manmatha;H. Bunke.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2012)

356 Citations

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