S. Vempala
Impact in
- Computational Mathematics top 5%
- Artificial Intelligence top 2%
- Machine Learning and Algorithms
- Advanced Clustering Algorithms Research
- Algorithms and Data Compression
Papers in
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- Computational Geometry and Mesh Generation 2
-
- Innovative Human-Technology Interaction 2
- Co-authors
- Ramachandran KannanRavi KannanAlan FriezeVishwa VinayPetros DrineasRosa I. ArriagaAvrim BlumBrian P. Mulenga
- Journals
- Journal of Computer and System Sciences (1 paper)Machine Learning (1 paper)Algorithmica (1 paper)now publishers, Inc. eBooks (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
S. Vempala
13 papers receiving 776 citations
Peers
Comparison fields: 5 of 98
- Computational Mathematics 35
- Artificial Intelligence 531
- Signal Processing 156
- Computer Vision and Pattern Recognition 224
- Computational Theory and Mathematics 172
Countries citing papers authored by S. Vempala
This map shows the geographic impact of S. Vempala'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 S. Vempala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Vempala more than expected).
Fields of papers citing papers by S. Vempala
This network shows the impact of papers produced by S. Vempala. 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 S. Vempala. The network helps show where S. Vempala may publish in the future.
Co-authorship network
The 10 scholars most cited alongside S. Vempala, 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 | 2023 | 0 | |
| 2 | 2009 | 33 | |
| 3 | 2009 | 1 | |
| 4 | 2009 | 2 | |
| 5 | Testing Geometric Convexity | 2008 | 0 |
| 6 | 2008 | 40 | |
| 7 | 2004 | 3 | |
| 8 | 2004 | 278 | |
| 9 | 2003 | 55 | |
| 10 | 2003 | 65 | |
| 11 | 2002 | 67 | |
| 12 | 2002 | 28 | |
| 13 | 2002 | 228 | |
| 14 | 2002 | 22 | |
| 15 | 1998 | 43 |
About S. Vempala
S. Vempala is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction, Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 865 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (7 papers), Neural Networks and Applications (2 papers), Bayesian Methods and Mixture Models (2 papers), ICT in Developing Communities (2 papers), Computational Geometry and Mesh Generation (2 papers), Complexity and Algorithms in Graphs (2 papers), Fault Detection and Control Systems (2 papers) and Innovative Human-Technology Interaction (2 papers). The work is most often cited by research in Computational Mathematics (35 citations), Artificial Intelligence (531 citations), Signal Processing (156 citations), Computer Vision and Pattern Recognition (224 citations) and Computational Theory and Mathematics (172 citations). S. Vempala has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Ramachandran Kannan, Ravi Kannan, Alan Frieze, Vishwa Vinay, Petros Drineas, Rosa I. Arriaga, Avrim Blum, Brian P. Mulenga, Thad Starner and Luis Rademacher. Their work appears in journals such as Journal of Computer and System Sciences, Machine Learning, Algorithmica and now publishers, Inc. eBooks.
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.