R. Manmatha
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- Image Retrieval and Classification Techniques 47
- Handwritten Text Recognition Techniques 45
- Advanced Image and Video Retrieval Techniques 44
- Video Analysis and Summarization 16
- Image Processing and 3D Reconstruction 14
- Multimodal Machine Learning Applications 13
- Media Technology top 0.2%
- Artificial Intelligence top 0.5%
- Natural Language Processing Techniques 19
- Signal Processing top 1%
- Music and Audio Processing 10
- Human-Computer Interaction top 5%
R. Manmatha
107 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Computer Vision and Pattern Recognition 5.7k
- Media Technology 912
- Artificial Intelligence 2.0k
- Signal Processing 575
- Human-Computer Interaction 102
Countries citing papers authored by R. Manmatha
This map shows the geographic impact of R. Manmatha's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by R. Manmatha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Manmatha more than expected).
Fields of papers citing papers by R. Manmatha
This network shows the impact of papers produced by R. Manmatha. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by R. Manmatha. The network helps show where R. Manmatha may publish in the future.
Co-authorship network
The 25 scholars most cited alongside R. Manmatha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 16 | |
| 3 | 2022 | 47 | |
| 4 | ResNeSt: Split-Attention Networksbreakdown → | 2022 | 629 |
| 5 | 2021 | 29 | |
| 6 | Hierarchical Auto-Regressive Model for Image Compression Incorporating Object Saliency and a Deep Perceptual Loss. | 2020 | 2 |
| 7 | 2016 | 8 | |
| 8 | SRI-Sarnoff AURORA System at TRECVID 2013 Multimedia Event Detection and Recounting. | 2013 | 5 |
| 9 | SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting. | 2012 | 14 |
| 10 | 2011 | 4 | |
| 11 | 2004 | 38 | |
| 12 | 2004 | 99 | |
| 13 | 2004 | 153 | |
| 14 | A Model for Learning the Semantics of Pictures | 2003 | 458 |
| 15 | Automatic image annotation and retrieval using cross-media relevance modelsbreakdown → | 2003 | 737 |
| 16 | Indexing of Handwritten Historical Documents - Recent Progress | 2003 | 34 |
| 17 | A Formal Approach to Score Normalization for Metasearch | 2002 | 7 |
| 18 | Indexing for a Digital Library of George Washington’s Manuscripts: A Study of Word Matching Techniques | 2002 | 24 |
| 19 | 2002 | 7 | |
| 20 | Word spotting: indexing handwritten manuscripts | 1997 | 32 |
About R. Manmatha
R. Manmatha is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Media Technology and Information Systems, having authored 109 papers that have together received 6.8k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (47 papers), Handwritten Text Recognition Techniques (45 papers), Advanced Image and Video Retrieval Techniques (44 papers), Natural Language Processing Techniques (19 papers), Video Analysis and Summarization (16 papers), Image Processing and 3D Reconstruction (14 papers), Multimodal Machine Learning Applications (13 papers) and Music and Audio Processing (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.7k citations), Media Technology (912 citations), Artificial Intelligence (2.0k citations), Signal Processing (575 citations) and Human-Computer Interaction (102 citations). R. Manmatha has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Victor Lavrenko, Jiwoon Jeon, T.M. Rath, Edward M. Riseman, Toni M. Rath, Siwei Feng, Victor Wu, Mu Li, Hang Zhang and Chongruo Wu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal on Document Analysis and Recognition (IJDAR), ACM SIGIR Forum, Machine Vision and Applications and Pattern Recognition.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.