Ramesh Jain

22.4k total citations · 7 hit papers
410 papers, 14.4k citations indexed

About

Ramesh Jain is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Ramesh Jain has authored 410 papers receiving a total of 14.4k indexed citations (citations by other indexed papers that have themselves been cited), including 259 papers in Computer Vision and Pattern Recognition, 55 papers in Signal Processing and 51 papers in Artificial Intelligence. Recurrent topics in Ramesh Jain's work include Video Analysis and Summarization (100 papers), Advanced Image and Video Retrieval Techniques (96 papers) and Image Retrieval and Classification Techniques (85 papers). Ramesh Jain is often cited by papers focused on Video Analysis and Summarization (100 papers), Advanced Image and Video Retrieval Techniques (96 papers) and Image Retrieval and Classification Techniques (85 papers). Ramesh Jain collaborates with scholars based in United States, Singapore and China. Ramesh Jain's co-authors include Paul J. Besl, Rangachar Kasturi, Simone Santini, Brian G. Schunck, Amarnath Gupta, Terry E. Weymouth, Nicu Sebe, Michael S. Lew, Chabane Djeraba and Amir A. Amini and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.

In The Last Decade

Ramesh Jain

391 papers receiving 13.1k citations

Hit Papers

Machine vision 1985 2026 1998 2012 1995 2006 1988 1990 1985 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ramesh Jain 10.3k 2.3k 1.9k 1.4k 1.1k 410 14.4k
Tsuhan Chen 7.7k 0.7× 2.4k 1.0× 2.4k 1.3× 601 0.4× 963 0.9× 376 13.7k
Nicu Sebe 13.7k 1.3× 5.5k 2.3× 1.4k 0.7× 989 0.7× 1.5k 1.4× 510 20.1k
Timo Ojala 14.3k 1.4× 2.6k 1.1× 2.1k 1.1× 756 0.5× 3.2k 2.9× 151 20.0k
Daniel P. Huttenlocher 7.1k 0.7× 2.5k 1.0× 554 0.3× 1.4k 1.0× 1.2k 1.1× 51 12.4k
Ioannis Pitas 12.4k 1.2× 2.9k 1.2× 3.0k 1.6× 609 0.4× 1.5k 1.4× 656 16.3k
Jie Zhou 12.0k 1.2× 5.6k 2.4× 2.7k 1.4× 1.1k 0.8× 1.3k 1.1× 632 20.3k
Michael Jones 21.7k 2.1× 4.6k 2.0× 3.1k 1.7× 1.9k 1.3× 2.1k 1.9× 79 28.6k
Changsheng Xu 11.5k 1.1× 4.8k 2.0× 2.3k 1.2× 772 0.5× 707 0.6× 613 16.1k
Yihong Gong 11.5k 1.1× 5.3k 2.2× 1.5k 0.8× 731 0.5× 1.9k 1.7× 223 15.6k
Qi Tian 15.6k 1.5× 6.3k 2.7× 1.5k 0.8× 1.9k 1.3× 1.8k 1.7× 432 21.3k

Countries citing papers authored by Ramesh Jain

Since Specialization
Citations

This map shows the geographic impact of Ramesh Jain'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 Ramesh Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramesh Jain more than expected).

Fields of papers citing papers by Ramesh Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramesh Jain. 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 Ramesh Jain. The network helps show where Ramesh Jain may publish in the future.

Co-authorship network of co-authors of Ramesh Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh Jain. A scholar is included among the top collaborators of Ramesh Jain based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ramesh Jain. Ramesh Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Azimi, Iman, David Oniani, Zahra Shakeri Hossein Abad, et al.. (2024). Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI. npj Digital Medicine. 7(1). 82–82. 72 indexed citations
2.
Lü, Ke, et al.. (2024). AVES: An Audio-Visual Emotion Stream Dataset for Temporal Emotion Detection. IEEE Transactions on Affective Computing. 16(1). 438–450. 2 indexed citations
3.
Xiang, Xinguang, et al.. (2024). Alleviating Over-Fitting in Hashing-Based Fine-Grained Image Retrieval: From Causal Feature Learning to Binary-Injected Hash Learning. IEEE Transactions on Multimedia. 26. 10665–10677. 2 indexed citations
4.
Mou, Luntian, Yuhang Liu, Zexi Zhang, et al.. (2023). MemoMusic 3.0: Considering Context at Music Recommendation and Combining Music Theory at Music Generation. 296–301. 1 indexed citations
5.
Mou, Luntian, Chao Zhou, Bahareh Nakisa, et al.. (2023). Driver Emotion Recognition With a Hybrid Attentional Multimodal Fusion Framework. IEEE Transactions on Affective Computing. 14(4). 2970–2981. 34 indexed citations
6.
Mou, Luntian, et al.. (2023). Multimodal driver distraction detection using dual-channel network of CNN and Transformer. Expert Systems with Applications. 234. 121066–121066. 24 indexed citations
7.
Azimi, Iman, Sina Labbaf, Ramesh Jain, et al.. (2022). Objective Prediction of Next-Day’s Affect Using Multimodal Physiological and Behavioral Data: Algorithm Development and Validation Study. JMIR Formative Research. 7. e39425–e39425. 15 indexed citations
8.
Hu, Sirui, Sina Labbaf, Nikil Dutt, et al.. (2022). Sleep Patterns and Affect Dynamics Among College Students During the COVID-19 Pandemic: Intensive Longitudinal Study. JMIR Formative Research. 6(8). e33964–e33964. 8 indexed citations
9.
Rahmani, Amir M., Sina Labbaf, Sirui Hu, et al.. (2021). Using Multimodal Assessments to Capture Personalized Contexts of College Student Well-being in 2020: Case Study. JMIR Formative Research. 5(5). e26186–e26186. 8 indexed citations
10.
Hu, Sirui, Sina Labbaf, Amir M. Rahmani, et al.. (2021). Assessing the Mental Health of Emerging Adults Through a Mental Health App: Protocol for a Prospective Pilot Study. JMIR Research Protocols. 10(3). e25775–e25775. 12 indexed citations
11.
Mou, Luntian, Chao Zhou, Pengtao Xie, et al.. (2021). Isotropic Self-Supervised Learning for Driver Drowsiness Detection With Attention-Based Multimodal Fusion. IEEE Transactions on Multimedia. 25. 529–542. 31 indexed citations
12.
Jain, Ramesh, et al.. (2020). Low-cost enhancement of facial mask filtration to prevent transmission of COVID-19. Biometrics & Biostatistics International Journal. 9(5). 169–177.
13.
Singh, Vivek K., Tat‐Seng Chua, Ramesh Jain, & Alex Pentland. (2013). Proceedings of the 1st ACM international workshop on Personal data meets distributed multimedia. 1 indexed citations
14.
Diakopoulos, Nicholas, et al.. (2004). Content Based Image Synthesis. Lecture notes in computer science. 3115. 299–307. 1 indexed citations
15.
Sethi, Ishwar K. & Ramesh Jain. (1996). Storage and Retrieval for Still Image and Video Databases IV. 2670. 11 indexed citations
16.
Spaccapietra, Stefano & Ramesh Jain. (1995). Visual database systems, 3 : visual information management : proceedings of the Third IFIP 2.6 Working Conference on Visual Database Systems, 1995. Chapman & Hall eBooks. 1 indexed citations
17.
Jain, Ramesh. (1994). Semantics in Multimedia Systems. IEEE Multimedia. 1(2). 3–4. 5 indexed citations
18.
Jain, Ramesh, et al.. (1992). Obtaining 3-dimensional shape of textured and specular surfaces using four-source photometry. 180–199. 4 indexed citations
19.
Jain, Ramesh, et al.. (1987). A qualitative approach for recovering relative depths in dynamic scenes. NASA STI Repository (National Aeronautics and Space Administration). 2 indexed citations
20.
Jain, Ramesh. (1976). Tolerance analysis using fuzzy sets. International Journal of Systems Science. 7(12). 1393–1401. 34 indexed citations

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.

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