Srinivas Sridharan
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology 14
- Computer Science Applications top 10%
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- Visual Attention and Saliency Detection 8
- Advanced Image and Video Retrieval Techniques 4
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- Quantum Computing Algorithms and Architecture 3
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- Optimization and Variational Analysis 2
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- Face Recognition and Perception 2
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- Distributed and Parallel Computing Systems 2
- Advanced Data Storage Technologies 2
- Co-authors
- Reynold BaileyAnn McNamaraCindy GrimmCarlos R. RiveroM. R. JamesThorsten KurthWilliam M. McEneaneyJan Dimon Bendtsen
- Cited by
- Human-Computer InteractionComputer Science ApplicationsComputer Vision and Pattern Recognition
- Journals
- Physical Review A (1 paper)Systems & Control Letters (1 paper)Concurrency and Computation Practice and Experience (1 paper)
- Partner nations
- United StatesAustraliaSingapore
In The Last Decade
Srinivas Sridharan
27 papers receiving 268 citations
Peers
Comparison fields: 5 of 64
- Human-Computer Interaction 99
- Computer Science Applications 39
- Computer Vision and Pattern Recognition 110
- Software 17
- Computational Mathematics 2
Countries citing papers authored by Srinivas Sridharan
This map shows the geographic impact of Srinivas Sridharan'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 Srinivas Sridharan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srinivas Sridharan more than expected).
Fields of papers citing papers by Srinivas Sridharan
This network shows the impact of papers produced by Srinivas Sridharan. 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 Srinivas Sridharan. The network helps show where Srinivas Sridharan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Srinivas Sridharan, 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 | 0 | |
| 2 | Mixed Precision Training of Convolutional Neural Networks using Integer Operations | 2018 | 15 |
| 3 | 2017 | 13 | |
| 4 | 2017 | 41 | |
| 5 | 2016 | 4 | |
| 6 | Gaze Guidance, Task-Based Eye Movement Prediction, and Real-World Task Inference using Eye Tracking | 2016 | 1 |
| 7 | 2015 | 5 | |
| 8 | 2015 | 7 | |
| 9 | 2014 | 2 | |
| 10 | 2014 | 5 | |
| 11 | 2013 | 1 | |
| 12 | 2012 | 5 | |
| 13 | 2012 | 18 | |
| 14 | 2012 | 15 | |
| 15 | 2012 | 29 | |
| 16 | 2012 | 1 | |
| 17 | 2011 | 1 | |
| 18 | 2011 | 5 | |
| 19 | 2010 | 9 | |
| 20 | 2008 | 3 |
About Srinivas Sridharan
Srinivas Sridharan is a scholar working on Human-Computer Interaction, Computational Mathematics and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 277 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (14 papers), Visual Attention and Saliency Detection (8 papers), Advanced Image and Video Retrieval Techniques (4 papers), Quantum Computing Algorithms and Architecture (3 papers), Optimization and Variational Analysis (2 papers), Face Recognition and Perception (2 papers), Distributed and Parallel Computing Systems (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Human-Computer Interaction (99 citations), Computer Science Applications (39 citations) and Computer Vision and Pattern Recognition (110 citations). Srinivas Sridharan has collaborated with scholars based in United States, Australia and Singapore. Frequent co-authors include Reynold Bailey, Ann McNamara, Cindy Grimm, Carlos R. Rivero, M. R. James, Thorsten Kurth, William M. McEneaney, Jan Dimon Bendtsen, Pradeep Dubey and Satish Nadathur. Their work appears in journals such as Physical Review A, Systems & Control Letters and Concurrency and Computation Practice and Experience.
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.