2026 Gagan Agrawal: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	48	6252	6072	2795	2694	341	7497

Overview

Gagan Agrawal is affiliated with Augusta University in the United States and has a research portfolio that spans the fields of Computer Science and Medicine. Their work is particularly focused on interdisciplinary topics that intersect technology and health outcomes.

The scientist's primary fields of study include:

Computer Science
Medicine

Within these fields, Agrawal's research further specializes in subfields such as:

Artificial Intelligence
Oncology
Economics and Econometrics
Computer Vision and Pattern Recognition
Information Systems

Main topics covered in their publications reflect the intersection of technology, healthcare, and economics, including:

Economic and Financial Impacts of Cancer
Advanced Graph Neural Networks
Privacy-Preserving Technologies in Data
Global Cancer Incidence and Screening
Childhood Cancer Survivors' Quality of Life
Blockchain Technology Applications and Security
Graph Theory and Algorithms

Agrawal has published in multiple academic venues, with frequent publications in:

Clinical Lymphoma Myeloma & Leukemia
arXiv (Cornell University)
2021 IEEE International Conference on Big Data (Big Data)
Blood Advances
JAAD International

Their recent papers illustrate a focus on the convergence of social determinants of health and oncologic outcomes, as well as contributions to machine learning and data privacy methodologies. Notable recent publications include:

"Disparities in survival of hematologic malignancies in the context of social determinants of health: a systematic review," 2023, Blood Advances
"The interaction between social determinants of health and cervical cancer survival: A systematic review," 2023, Gynecologic Oncology
"Tweets can tell: activity recognition using hybrid gated recurrent neural networks," 2020, Social Network Analysis and Mining
"The intersection of melanoma survival and social determinants of health in the United States: A systematic review," 2024, JAAD International
"Privacy-Preserving Framework to Facilitate Shared Data Access for Wearable Devices," 2021, 2021 IEEE International Conference on Big Data (Big Data)

Agrawal frequently collaborates with other researchers, with the most common coauthors being:

E. Andrew Balas
Jorge E. Cortés
Marisol Miranda Galvis
Rajiv Ramnath
Kellen Cristine Tjioe

Best Publications

Resource Provisioning with Budget Constraints for Adaptive Applications in Cloud Environments

Qian Zhu;G. Agrawal

461
Citations
Efficient decision tree construction on streaming data

Ruoming Jin;Gagan Agrawal

252
Citations
Shared Memory Paraellization of Data Mining Algorithms: Techniques, Programming Interface, and Performance.

Ruoming Jin;Gagan Agrawal

220
Citations
Shared memory parallelization of data mining algorithms: techniques, programming interface, and performance

Ruoming Jin;Ge Yang;G. Agrawal

205
Citations
Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework

Vignesh T. Ravi;Michela Becchi;Gagan Agrawal;Srimat Chakradhar

180
Citations
A Map-Reduce System with an Alternate API for Multi-core Environments

Wei Jiang;Vignesh T. Ravi;Gagan Agrawal

176
Citations
An algorithm for in-core frequent itemset mining on streaming data

Ruoming Jin;G. Agrawal

161
Citations
A linear speedup analysis of distributed deep learning with sparse and quantized communication

Peng Jiang;Gagan Agrawal

153
Citations
Compiler and runtime support for enabling generalized reduction computations on heterogeneous parallel configurations

Vignesh T. Ravi;Wenjing Ma;David Chiu;Gagan Agrawal

145
Citations
Power-Aware Consolidation of Scientific Workflows in Virtualized Environments

Qian Zhu;Jiedan Zhu;Gagan Agrawal

142
Citations
Fast and exact out-of-core and distributed k -means clustering

Ruoming Jin;Anjan Goswami;Gagan Agrawal

139
Citations
Communication and Memory Efficient Parallel Decision Tree Construction.

Ruoming Jin;Gagan Agrawal

134
Citations
Shared memory parallelization of data mining algorithms: techniques, programming interface, and performance

Unknown

134
Citations
DNNFusion: accelerating deep neural networks execution with advanced operator fusion

Wei Niu;Jiexiong Guan;Yanzhi Wang;Gagan Agrawal

133
Citations
Accelerating MapReduce on a coupled CPU-GPU architecture

Linchuan Chen;Xin Huo;Gagan Agrawal

126
Citations
Effective Loop Fusion in Polyhedral Compilation Using Fusion Conflict Graphs

Aravind Acharya;Uday Bondhugula;Albert Cohen

122
Citations
An integrated runtime and compile-time approach for parallelizing structured and block structured applications

G. Agrawal;A. Sussman;J. Saltz

119
Citations
Communication and memory optimal parallel data cube construction

R. Jin;K. Vaidyanathan;G. Yang;G. Agrawal

106
Citations
A Framework for Elastic Execution of Existing MPI Programs

Aarthi Raveendran;Tekin Bicer;Gagan Agrawal

103
Citations
SciMATE: A Novel MapReduce-Like Framework for Multiple Scientific Data Formats

Yi Wang;Wei Jiang;Gagan Agrawal

101
Citations
GATES: a grid-based middleware for processing distributed data streams

Liang Chen;K. Reddy;G. Agrawal

98
Citations
A Middleware for Developing Parallel Data Mining Applications.

Ruoming Jin;Gagan Agrawal

93
Citations

Frequent Co-Authors

Ruoming Jin Kent State University

Joel H. Saltz Stony Brook University

Bin Ren Xiamen University

Alan Sussman University of Maryland, College Park

Sriram Krishnamoorthy University of California, Santa Barbara

Ümit V. Çatalyürek Georgia Institute of Technology

Guang R. Gao University of Delaware

Lori Pollock University of Delaware

Srimat T. Chakradhar NEC (United States)

P. Sadayappan University of Utah

External Links

Personal website of Gagan Agrawal Google Scholar page

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