2026 Srinivasan Parthasarathy: 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	68	2082	2017	1052	1012	422	18847

Overview

Srinivasan Parthasarathy is affiliated with The Ohio State University in the United States and has an extensive publication record in the field of computer science. Their research focuses primarily on artificial intelligence, with significant contributions to information systems, molecular biology, computer vision and pattern recognition, and statistical and nonlinear physics.

Their work encompasses a variety of advanced topics, including:

Advanced Graph Neural Networks
Topic Modeling
Recommender Systems and Techniques
Complex Network Analysis Techniques
Ethics and Social Impacts of AI
Natural Language Processing Techniques
Advanced Bandit Algorithms Research

Parthasarathy has published frequently in several venues, notably:

arXiv (Cornell University)
SBV Journal of Basic Clinical and Applied Health Science
Biomedical Optics Express
Proceedings of the International AAAI Conference on Web and Social Media
Applied Network Science

Among notable coauthors collaborating on multiple works are Dennis D. Hirsch, Aravind Chandrasekaran, Davon Norris, Piers Norris Turner, and Timothy Bartley.

Key recent papers by Parthasarathy include:

"A deep generative model for molecule optimization via one fragment modification," 2021, Nature Machine Intelligence
"MILE: A Multi-Level Framework for Scalable Graph Embedding," 2021, Proceedings of the International AAAI Conference on Web and Social Media
"Hypergraph clustering by iteratively reweighted modularity maximization," 2020, Applied Network Science
": Hybrid Associations Models for Sequential Recommendation," 2021, IEEE Transactions on Knowledge and Data Engineering
"M²: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation," 2022, IEEE Transactions on Knowledge and Data Engineering

Parthasarathy has also contributed to academic books, including a publication with Springer International Publishing titled "Business Data Ethics" in 2023.

Best Publications

Parallel Algorithms for Discovery of Association Rules

Mohammed J. Zaki;Srinivasan Parthasarathy;Mitsunori Ogihara;Wei Li

2131
Citations
New algorithms for fast discovery of association rules

Mohammed J Zaki;Srinivasan Parthasarathy;Mitsunori Ogihara;Wei Li

1539
Citations
An event-based framework for characterizing the evolutionary behavior of interaction graphs

Sitaram Asur;Srinivasan Parthasarathy;Duygu Ucar

720
Citations
Local Probabilistic Models for Link Prediction

Chao Wang;V. Satuluri;S. Parthasarathy

433
Citations
Efficient community detection in large networks using content and links

Yiye Ruan;David Fuhry;Srinivasan Parthasarathy

378
Citations
Graph embedding on biomedical networks: methods, applications and evaluations.

Xiang Yue;Zhen Wang;Jingong Huang;Srinivasan Parthasarathy

372
Citations
Minimizing broadcast latency and redundancy in ad hoc networks

Rajiv Gandhi;Arunesh Mishra;Srinivasan Parthasarathy

369
Citations
Incremental and interactive sequence mining

S. Parthasarathy;M. J. Zaki;M. Ogihara;S. Dwarkadas

358
Citations
Fast mining of distance-based outliers in high-dimensional datasets

Amol Ghoting;Srinivasan Parthasarathy;Matthew Eric Otey

355
Citations
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets

Matthew Eric Otey;Amol Ghoting;Srinivasan Parthasarathy

328
Citations
Dependent rounding and its applications to approximation algorithms

Rajiv Gandhi;Samir Khuller;Srinivasan Parthasarathy;Aravind Srinivasan

312
Citations
Scalable graph clustering using stochastic flows: applications to community discovery

Venu Satuluri;Srinivasan Parthasarathy

294
Citations
Minimizing broadcast latency and redundancy in ad hoc networks

Rajiv Gandhi;Srinivasan Parthasarathy;Arunesh Mishra

292
Citations
Algorithmic aspects of capacity in wireless networks

V. S. Anil Kumar;Madhav V. Marathe;Srinivasan Parthasarathy;Aravind Srinivasan

290
Citations
An ensemble framework for clustering protein–protein interaction networks

Sitaram Asur;Duygu Ucar;Srinivasan Parthasarathy

260
Citations
Parallel Algorithms for Discovery of Association Rules

Unknown

252
Citations
Cashmere-2L: software coherent shared memory on a clustered remote-write network

Robert Stets;Sandhya Dwarkadas;Nikolaos Hardavellas;Galen Hunt

244
Citations
Local graph sparsification for scalable clustering

Venu Satuluri;Srinivasan Parthasarathy;Yiye Ruan

231
Citations
Parallel Data Mining for Association Rules on Shared-Memory Multi-Processors

M. J. Zaki;M. Ogihara;S. Parthasarathy;W. Li

219
Citations
Parallel data mining for association rules on shared memory systems

S. Parthasarathy;M. J. Zaki;M. Ogihara;W. Li

207
Citations
Query by output

Quoc Trung Tran;Chee-Yong Chan;Srinivasan Parthasarathy

196
Citations
Extracting Analyzing and Visualizing Triangle K-Core Motifs within Networks

Yang Zhang;Srinivasan Parthasarathy

193
Citations
Bayesian locality sensitive hashing for fast similarity search

Venu Satuluri;Srinivasan Parthasarathy

187
Citations
Scalable trigger processing

E.N. Hanson;C. Carnes;L. Huang;M. Konyala

175
Citations
Symmetrizations for clustering directed graphs

Venu Satuluri;Srinivasan Parthasarathy

173
Citations

Frequent Co-Authors

Aravind Srinivasan University of Maryland, College Park

Madhav V. Marathe University of Virginia

P. Sadayappan University of Utah

Zhen Liu Nokia (Finland)

Balaraman Ravindran Indian Institute of Technology Madras

Wagner Meira Universidade Federal de Minas Gerais

Yusu Wang University of California, San Diego

Anand Ranganathan Unscrambl Inc.

Wei Fan Tencent (China)

Jing Gao Purdue University West Lafayette

External Links

Personal website of Srinivasan Parthasarathy Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to various online degrees and certification options that can boost your career opportunities. Many students are searching for flexible, cost-effective ways to build skills in related fields.

For those considering interdisciplinary studies, a cheapest online physics degree may complement a computer science background with strong quantitative and analytical knowledge. If your interests lean toward big data, earning a data scientist degree can lead to high-demand roles in business, healthcare, and tech.

Engineering-minded students might opt for an online master’s in electrical engineering degree, which pairs well with computer science for careers in embedded systems or robotics. If a shorter path is preferred, there are also short certificate programs that pay well, allowing you to quickly upskill and enter fast-growing industries.

Choosing the right path depends on your career goals, learning style, and budget. Online options make it easier than ever to access quality education and set yourself up for long-term success.