2026 Sanguthevar Rajasekaran: 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	38	10108	9822	4263	4087	482	7432

Research.com Recognitions

2009 - Fellow of the American Association for the Advancement of Science (AAAS)
2008 - IEEE Fellow For contributions to sequential, parallel, and randomized algorithms and to bioinformatics

Overview

Sanguthevar Rajasekaran is affiliated with the University of Connecticut in the United States. Their research spans multiple fields, primarily within Computer Science and Biochemistry, Genetics and Molecular Biology.

The scientist has contributed significantly to the fields of Artificial Intelligence, Molecular Biology, Materials Chemistry, Management Science and Operations Research, and Information Systems. Their work also covers several specific topics including Privacy-Preserving Technologies in Data, Bioinformatics and Genomic Networks, Data Quality and Management, Machine Learning in Materials Science, Gut microbiota and health, Adversarial Robustness in Machine Learning, and Genomics and Phylogenetic Studies.

Recent publications include:

"Semi-Supervised Machine Learning for Fault Detection and Diagnosis of a Rooftop Unit" (2023), published in Big Data Mining and Analytics
"Novel and efficient randomized algorithms for feature selection" (2020), published in Big Data Mining and Analytics
"Predicting band gaps and band-edge positions of oxide perovskites using density functional theory and machine learning" (2022), published in Physical review. B./Physical review. B
"Semi-Automated evidence synthesis in health psychology: current methods and future prospects" (2020), published in Health Psychology Review
"Indoor radon exposure and its correlation with the radiometric map of uranium in Sweden" (2021), published in The Science of The Total Environment

Frequent coauthors in their research include Ahmed Soliman, Subrata Saha, Yijue Wang, Налини Равишанкер, and Zigeng Wang.

Rajasekaran's publications have appeared regularly in several venues, with the highest volume of work in the Journal of Computational Biology, arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), Big Data Mining and Analytics, and EPiC series in computing.

In the area of book publications, they have contributed to titles published by Springer Science+Business Media, including two editions of "Computational Advances in Bio and Medical Sciences" released in 2021 and 2022.

The scientist has been recognized as a Fellow of the American Association for the Advancement of Science (AAAS) since 2009. They were also named an IEEE Fellow in 2008 for contributions to sequential, parallel, and randomized algorithms as well as bioinformatics.

Best Publications

Accelerating materials property predictions using machine learning

Ghanshyam Pilania;Chenchen Wang;Xun Jiang;Sanguthevar Rajasekaran

869
Citations
Computer Algorithms C

Ellis Horowitz;Sartaj Sahni;Sanguthevar Rajasekaran

459
Citations
One-time credit card number generator and single round-trip authentication

Sanguthevar Rajasekaran;Rammohan Varadarajan

216
Citations
Optimal and sublogarithmic time randomized parallel sorting algorithms

S. Rajasekaran;J. H. Reif

209
Citations
Enhancements to multi-party authentication and other protocols

Sanguthevar Rajasekaran;James Reno;Rammohan Varadarajan;Sanjay Vyas

165
Citations
Minimotif Miner: a tool for investigating protein function.

Sudha Balla;Vishal Thapar;Snigdha Verma;ThaiBinh Luong

161
Citations
Fast and Practical Algorithms for Planted (l, d) Motif Search

Jaime Davila;Sudha Balla;Sanguthevar Rajasekaran

155
Citations
Exact algorithms for planted motif problems.

Sanguthevar Rajasekaran;Sudha Balla;Chun-Hsi Huang

148
Citations
A transaction mapping algorithm for frequent itemsets mining

M. Song;Sanguthevar Rajasekaran

140
Citations
Handbook of randomized computing

Sanguthevar Rajasekaran

125
Citations
Efficient parallel hierarchical clustering algorithms

S. Rajasekaran

113
Citations
AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters

Xia Xiao;Zigeng Wang;Sanguthevar Rajasekaran

97
Citations
Optimal routing algorithms for mesh-connected processor arrays

Sanguthevar Rajasekaran;Thanasis Tsantilas

97
Citations
Sorting, selection, and routing on the array with reconfigurable optical buses

S. Rajasekaran;S. Sahni

91
Citations
Minimotif Miner 3.0: database expansion and significantly improved reduction of false-positive predictions from consensus sequences.

Tian Mi;Jerlin Camilus Merlin;Sandeep Deverasetty;Michael R. Gryk

88
Citations
Randomized routing, selection, and sorting on the OTIS-mesh

S. Rajasekaran;S. Sahni

85
Citations
PMS5: an efficient exact algorithm for the (ℓ, d)-motif finding problem

Hieu Dinh;Sanguthevar Rajasekaran;Vamsi K Kundeti

84
Citations
Minimotif miner 2nd release: a database and web system for motif search

Sanguthevar Rajasekaran;Sudha Balla;Patrick R. Gradie;Michael R. Gryk

79
Citations
Efficient techniques for sharing a secret

Sanguthevar Rajasekaran

77
Citations
Handbook of Parallel Computing: Models, Algorithms, and Applications

Sanguthevar Rajasekaran;John Reif

72
Citations

Frequent Co-Authors

Sartaj Sahni University of Florida

John H. Reif Duke University

Robert H. Aseltine University of Connecticut Health Center

Panos M. Pardalos University of Florida

Jun-Hong Cui Jilin University

Jinbo Bi University of Connecticut

Shibu Yooseph University of Central Florida

Insup Lee University of Pennsylvania

Alexander Zelikovsky Georgia State University

Sy-Yen Kuo National Taiwan University

External Links

Personal website of Sanguthevar Rajasekaran Google Scholar page

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