World's Best Scientists 2026 revealed!

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Computer Science

D-Index
77
Citations
17667
World Ranking
1304
National Ranking
689

Overview

Rajiv Gupta is affiliated with the University of California, Riverside in the United States. Their primary area of research lies within Computer Science, with particular focus on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Radiology, Nuclear Medicine and Imaging, and Biomedical Engineering.

The scientist has contributed to several main topics in their work, notably:

  • Graph Theory and Algorithms
  • Data Management and Algorithms
  • Advanced Graph Neural Networks
  • Advanced Vision and Imaging
  • Galaxies: Formation, Evolution, Phenomena
  • Advanced Image Processing Techniques
  • Health and Wellbeing Research

Rajiv Gupta has published research in a variety of venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Astronomy and Computing
  • Journal of Parallel and Distributed Computing
  • Open Journal of Psychiatry & Allied Sciences
  • British Journal of Radiology

Among recent publications, notable papers authored or coauthored by Rajiv Gupta are:

  • "Galaxy morphology classification using neural ordinary differential equations," 2022, Astronomy and Computing
  • "Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls," 2022, arXiv (Cornell University)
  • "SimGQ+: Simultaneously evaluating iterative point-to-all and point-to-point graph queries," 2022, Journal of Parallel and Distributed Computing
  • "Family burden among caregivers of alcohol dependence: A cross-sectional study," 2022, Open Journal of Psychiatry & Allied Sciences
  • "VRGQ," 2021, ACM SIGOPS Operating Systems Review

Frequent coauthors collaborating with Rajiv Gupta include:

  • Chengshuo Xu
  • Xiaolin Jiang
  • Abheek Gupta
  • Anu Gupta
  • P. K. Srijith

Best Publications

  • A methodology for controlling the size of a test suite

    M. Jean Harrold;Rajiv Gupta;Mary Lou Soffa

  • Locating faults through automated predicate switching

    Xiangyu Zhang;Neelam Gupta;Rajiv Gupta

  • An approach to regression testing using slicing

    R. Gupta;M.J. Harrold;M.L. Soffa

  • ABCD: eliminating array bounds checks on demand

    Rastislav Bodík;Rajiv Gupta;Vivek Sarkar

  • CuSha: vertex-centric graph processing on GPUs

    Farzad Khorasani;Keval Vora;Rajiv Gupta;Laxmi N. Bhuyan

  • Frequent value compression in data caches

    Jun Yang;Youtao Zhang;Rajiv Gupta

  • Precise dynamic slicing algorithms

    Xiangyu Zhang;Rajiv Gupta;Youtao Zhang

  • Locating faulty code using failure-inducing chops

    Neelam Gupta;Haifeng He;Xiangyu Zhang;Rajiv Gupta

  • Frequent value locality and value-centric data cache design

    Youtao Zhang;Jun Yang;Rajiv Gupta

  • Fault localization using value replacement

    Dennis Jeffrey;Neelam Gupta;Rajiv Gupta

  • The fuzzy barrier: a mechanism for high speed synchronization of processors

    Rajiv Gupta

  • Experimental evaluation of using dynamic slices for fault location

    Xiangyu Zhang;Haifeng He;Neelam Gupta;Rajiv Gupta

  • Pruning dynamic slices with confidence

    Xiangyu Zhang;Neelam Gupta;Rajiv Gupta

  • A Compact Dual-Band Fork-Shaped Monopole Antenna for Bluetooth and UWB Applications

    S. K. Mishra;R. K. Gupta;A. Vaidya;J. Mukherjee

  • Virtual monochromatic reconstruction of dual-energy unenhanced head CT at 65-75 keV maximizes image quality compared with conventional polychromatic CT.

    Stuart R. Pomerantz;Shervin Kamalian;Da Zhang;Rajiv Gupta

  • Copy or Discard execution model for speculative parallelization on multicores

    Chen Tian;Min Feng;Vijay Nagarajan;Rajiv Gupta

  • Complete removal of redundant expressions

    Rastislav Bodík;Rajiv Gupta;Mary Lou Soffa

  • Refining data flow information using infeasible paths

    Rastislav Bodík;Rajiv Gupta;Mary Lou Soffa

  • Optimizing array bound checks using flow analysis

    Rajiv Gupta

  • Region scheduling: an approach for detecting and redistributing parallelism

    R. Gupta;M.L. Soffa

Frequent Co-Authors

Mary Lou Soffa
Mary Lou Soffa University of Virginia
Xiangyu Zhang
Xiangyu Zhang Purdue University West Lafayette
Rami Melhem
Rami Melhem University of Pittsburgh
Laxmi N. Bhuyan
Laxmi N. Bhuyan University of California, Riverside
Iulian Neamtiu
Iulian Neamtiu New Jersey Institute of Technology
Youtao Zhang
Youtao Zhang University of Pittsburgh
Rastislav Bodik
Rastislav Bodik University of Washington
Jun Yang
Jun Yang University of Pittsburgh
Vivek Sarkar
Vivek Sarkar Georgia Institute of Technology

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