Uma Srinivasan
Impact in
-
- Artificial Intelligence in Healthcare
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
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- Video Analysis and Summarization 12
- Image Retrieval and Classification Techniques 5
- Co-authors
- Surya NepalBavani ArunasalamShahadat UddinArif KhanGraham ReynoldsY.H. ChanStephen KosonockyA.J. Bhavnagarwala
- Journals
- IT Professional (2 papers)IEEE Micro (2 papers)IEEE Journal of Solid-State Circuits (1 paper)Expert Systems with Applications (1 paper)Journal of Mechanical Design (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Uma Srinivasan
53 papers receiving 782 citations
Peers
Comparison fields: 5 of 101
- Health Information Management 111
- Hardware and Architecture 118
- Signal Processing 141
- Computer Vision and Pattern Recognition 215
- Management Information Systems 74
Countries citing papers authored by Uma Srinivasan
This map shows the geographic impact of Uma Srinivasan'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 Uma Srinivasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uma Srinivasan more than expected).
Fields of papers citing papers by Uma Srinivasan
This network shows the impact of papers produced by Uma Srinivasan. 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 Uma Srinivasan. The network helps show where Uma Srinivasan may publish in the future.
Co-authors
The 25 scholars most cited alongside Uma Srinivasan, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2019 | 46 | |
| 5 | 2019 | 4 | |
| 6 | 2018 | 79 | |
| 7 | 2018 | 4 | |
| 8 | 2016 | 3 | |
| 9 | 2014 | 4 | |
| 10 | 2013 | 2 | |
| 11 | H A: A EA R S S | 2008 | 5 |
| 12 | 2008 | 72 | |
| 13 | 2006 | 4 | |
| 14 | 2004 | 17 | |
| 15 | Model Operations for Quality-Driven Multimedia Delivery | 2003 | 2 |
| 16 | 2003 | 12 | |
| 17 | 2002 | 1 | |
| 18 | 2000 | 17 | |
| 19 | 2000 | 10 | |
| 20 | A Data Model to Support Content-based Search in Digital Video Libraries. | 1997 | 1 |
About Uma Srinivasan
Uma Srinivasan is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Signal Processing, Human-Computer Interaction and Family Practice, having authored 56 papers that have together received 830 indexed citations. Recurring topics across this work include Video Analysis and Summarization (12 papers), Semantic Web and Ontologies (6 papers), Semiconductor materials and devices (6 papers), Image Retrieval and Classification Techniques (5 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers), Low-power high-performance VLSI design (5 papers), Multimedia Communication and Technology (5 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Health Information Management (111 citations), Hardware and Architecture (118 citations), Signal Processing (141 citations), Computer Vision and Pattern Recognition (215 citations) and Management Information Systems (74 citations). Uma Srinivasan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Surya Nepal, Bavani Arunasalam, Shahadat Uddin, Arif Khan, Graham Reynolds, Y.H. Chan, Stephen Kosonocky, A.J. Bhavnagarwala, Craig Zilles and Ravi Rajwar. Their work appears in journals such as IT Professional, IEEE Micro, IEEE Journal of Solid-State Circuits, Expert Systems with Applications and Journal of Mechanical Design.
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.