2026 Vijay V. Raghavan: 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	40	9082	8821	3861	3703	310	11080

Research.com Recognitions

2012 - ACM Distinguished Member

Overview

Vijay V. Raghavan is affiliated with the University of Louisiana at Lafayette in the United States. Their research spans multiple interdisciplinary fields, primarily within Computer Science and Biochemistry, Genetics and Molecular Biology.

Their scholarly output includes 17 publications in Computer Science and 15 in Biochemistry, Genetics and Molecular Biology. Their subfield expertise covers Molecular Biology, Computational Theory and Mathematics, Modeling and Simulation, Artificial Intelligence, and Economics and Econometrics.

Vijay V. Raghavan's work encompasses several specialized topics, including:

Protein Structure and Dynamics
Computational Drug Discovery Methods
COVID-19 epidemiological studies
Machine Learning in Bioinformatics
COVID-19 Pandemic Impacts
Network Security and Intrusion Detection
Enzyme Structure and Function

They have published research in various venues with multiple articles appearing in:

Computational Biology and Chemistry
Frontiers in Chemistry
BMC Public Health
Scientific Reports
IEEE Access

Recent notable papers include:

"Intrusion Detection Using Payload Embeddings" (2021) published in IEEE Access
"Exploring the relationship between mobility and COVID-19 infection rates for the second peak in the United States using phase-wise association" (2021) published in BMC Public Health
"Development of a TSR-Based Method for Protein 3-D Structural Comparison With Its Applications to Protein Classification and Motif Discovery" (2021) published in Frontiers in Chemistry
"Exploring the effectiveness of the TSR-based protein 3-D structural comparison method for protein clustering, and structural motif identification and discovery of protein kinases, hydrolases, and SARS-CoV-2's protein via the application of amino acid grouping" (2021) published in Computational Biology and Chemistry
"Association mining based approach to analyze COVID-19 response and case growth in the United States" (2021) published in Scientific Reports

Frequent collaborators in their research include Wu Xu, Raju Gottumukkala, Satya Katragadda, Titli Sarkar, and Tarikul I. Milon.

Among honors, they were recognized as an ACM Distinguished Member in 2012.

Best Publications

Content based image retrieval systems

V.N. Gudivada;V.V. Raghavan

1384
Citations
A linear time algorithm for computing exact Euclidean distance transforms of binary images in arbitrary dimensions

C.R. Maurer;Rensheng Qi;V. Raghavan

1242
Citations
A critical investigation of recall and precision as measures of retrieval system performance

Vijay Raghavan;Peter Bollmann;Gwang S. Jung

655
Citations
A critical analysis of vector space model for information retrieval

Vijay V. Raghavan;S. K. M. Wong

552
Citations
Information retrieval on the World Wide Web

V.N. Gudivada;V.V. Raghavan;W.I. Grosky;R. Kasanagottu;R. Kasanagottu;R. Kasanagottu

495
Citations
Fully automatic wrapper generation for search engines

Hongkun Zhao;Weiyi Meng;Zonghuan Wu;Vijay Raghavan

448
Citations
Design and evaluation of algorithms for image retrieval by spatial similarity

Venkat N. Gudivada;Vijay V. Raghavan

444
Citations
On modeling of information retrieval concepts in vector spaces

S. K.M. Wong;W. Ziarko;V. V. Raghavan;P. C.N. Wong

279
Citations
On the reuse of past optimal queries

Vijay V. Raghavan;Hayri Sever

207
Citations
Genetic Algorithm for Clustering with an Ordered Representation.

Jay N. Bhuyan;Vijay V. Raghavan;Venkatesh K. Elayavalli

195
Citations
Big Data: Promises and Problems

Venkat N. Gudivada;Ricardo Baeza-Yates;Vijay V. Raghavan

190
Citations
Proceedings of the 2013 IEEE International Conference on Big Data

Xiaohua Hu;Tsau Young Lin;Vijay Raghavan;Benjamin Wah

176
Citations
Scalar aggregation in inconsistent databases

Marcelo Arenas;Leopoldo Bertossi;Jan Chomicki;Xin He

173
Citations
Big Data and Data Analytics Research: From Metaphors to Value Space for Collective Wisdom in Human Decision Making and Smart Machines

Miltiadis D. Lytras;Vijay Raghavan;Ernesto Damiani

163
Citations
BitCube: A Three-Dimensional Bitmap Indexing for XML Documents

Jong P. Yoon;Vijay Raghavan;Venu Chakilam;Larry Kerschberg

155
Citations
NoSQL Systems for Big Data Management

Venkat N. Gudivada;Dhana Rao;Vijay V. Raghavan

144
Citations
How many queries are needed to learn

Lisa Hellerstein;Krishnan Pillaipakkamnatt;Vijay Raghavan;Dawn Wilkins

133
Citations
Vector space model of information retrieval: a reevaluation

S. K. M. Wong;Vijay V. Raghavan

130
Citations
A Novel Data-Driven Model for Real-Time Influenza Forecasting

Siva R. Venna;Amirhossein Tavanaei;Raju N. Gottumukkala;Vijay V. Raghavan

129
Citations
A clustering strategy based on a formalism of the reproductive process in natural systems

Vijay V. Raghavan;Kim Birchard

110
Citations
Deep Learning for Natural Language Processing

Ying Xie;Linh Le;Yiyun Zhou;Vijay V. Raghavan

91
Citations

Frequent Co-Authors

Jitender S. Deogun University of Nebraska–Lincoln

Clement Yu University of Illinois at Chicago

Weiyi Meng Binghamton University

S. K. M. Wong University of Regina

Irwin King Chinese University of Hong Kong

Tsau Young Lin San Jose State University

Wojciech Ziarko University of Regina

Ricardo Baeza-Yates Royal Institute of Technology

Cyrus Shahabi University of Southern California

Moncef Gabbouj Tampere University

External Links

Personal website of Vijay V. Raghavan Google Scholar page

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