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 85 Citations 47,977 443 World Ranking 340 National Ranking 211

Research.com Recognitions

Awards & Achievements

2016 - Fellow of the American Association for the Advancement of Science (AAAS)

2003 - ACM Fellow For contributions to computer vision and multimedia information systems.

1993 - SPIE Fellow

1992 - IEEE Fellow For contributions to computer vision in the estimation of structure and motion from images.


What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • The Internet

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Information retrieval, Multimedia and Search engine indexing. His Artificial intelligence study frequently intersects with other fields, such as Pattern recognition. His Computer vision study which covers Perspective that intersects with Computer graphics, Parallax, Scene statistics and Video camera.

Ramesh Jain has included themes like Metadata, Database, Video processing and Image retrieval, Visual Word in his Information retrieval study. In his study, Context, Experiential computing, State and Popularity is strongly linked to World Wide Web, which falls under the umbrella field of Multimedia. His work deals with themes such as Abstraction, Tree, Multimedia information retrieval and Computational geometry, which intersect with Search engine indexing.

His most cited work include:

  • Content-based image retrieval at the end of the early years (5505 citations)
  • Machine Vision (1794 citations)
  • Content-based multimedia information retrieval: State of the art and challenges (1413 citations)

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

Ramesh Jain spends much of his time researching Artificial intelligence, Multimedia, Computer vision, Information retrieval and World Wide Web. The various areas that Ramesh Jain examines in his Artificial intelligence study include Machine learning and Pattern recognition. His work on Multimedia is being expanded to include thematically relevant topics such as Human–computer interaction.

His Computer vision study frequently links to other fields, such as Sequence. Ramesh Jain interconnects Database and Image, Automatic image annotation, Image retrieval in the investigation of issues within Information retrieval. His study looks at the intersection of World Wide Web and topics like Context with Data science.

He most often published in these fields:

  • Artificial intelligence (31.04%)
  • Multimedia (21.92%)
  • Computer vision (21.76%)

What were the highlights of his more recent work (between 2012-2021)?

  • Multimedia (21.92%)
  • World Wide Web (13.28%)
  • Context (11.04%)

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

His main research concerns Multimedia, World Wide Web, Context, Data science and Data stream mining. With his scientific publications, his incorporates both Multimedia and Storytelling. His work in the fields of World Wide Web, such as Social media, Social network and Social computing, overlaps with other areas such as Social life.

Ramesh Jain combines subjects such as Web service, Machine learning, Pruning, Space and Information retrieval with his study of Context. His research in Data science tackles topics such as Domain knowledge which are related to areas like State. The study incorporates disciplines such as Computer security, Cybernetics and Human–computer interaction in addition to Data stream mining.

Between 2012 and 2021, his most popular works were:

  • Tri-Clustered Tensor Completion for Social-Aware Image Tag Refinement (90 citations)
  • Respiration rate and volume measurements using wearable strain sensors. (69 citations)
  • A Survey on Food Computing (66 citations)

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

  • Artificial intelligence
  • The Internet
  • Statistics

Ramesh Jain mainly investigates World Wide Web, Data stream mining, Data mining, Context and Data science. The concepts of his World Wide Web study are interwoven with issues in Formal concept analysis, Multimedia and Sensor fusion. His Data mining study integrates concerns from other disciplines, such as Data modeling, Focus, Graph and Cluster analysis.

His Data modeling research is multidisciplinary, relying on both Scalability, Geospatial analysis, Artificial intelligence, Interpolation and Machine learning. His work carried out in the field of Artificial intelligence brings together such families of science as Sequence and Email filtering. His Annotation research is multidisciplinary, incorporating perspectives in Information retrieval and Image retrieval.

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

Content-based image retrieval at the end of the early years

A.W.M. Smeulders;M. Worring;S. Santini;A. Gupta.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2000)

8121 Citations

Machine vision

Ramesh Jain;Rangachar Kasturi;Brian G. Schunck.

3811 Citations

Content-based multimedia information retrieval: State of the art and challenges

Michael S. Lew;Nicu Sebe;Chabane Djeraba;Ramesh Jain.
ACM Transactions on Multimedia Computing, Communications, and Applications (2006)

2055 Citations

Using dynamic programming for solving variational problems in vision

A.A. Amini;T.E. Weymouth;R.C. Jain.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1990)

1583 Citations

Three-dimensional object recognition

Paul J. Besl;Ramesh C. Jain.
ACM Computing Surveys (1985)

1562 Citations

Segmentation through variable-order surface fitting

P.J. Besl;R.C. Jain.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1988)

1496 Citations

Virage image search engine: an open framework for image management

Jeffrey R. Bach;Charles Fuller;Amarnath Gupta;Arun Hampapur.
Storage and Retrieval for Image and Video Databases (1996)

1343 Citations

Machine dynamic selection of one video camera/image of a scene from multiple video cameras/images of the scene in accordance with a particular perspective on the scene, an object in the scene, or an event in the scene

Ramesh Jain;Koji Wakimoto.

1192 Citations

Similarity indexing with the SS-tree

D.A. White;R. Jain.
international conference on data engineering (1996)

1150 Citations

Visual information retrieval

Amarnath Gupta;Ramesh Jain.
Communications of The ACM (1997)

1044 Citations

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