World's Best Scientists 2026 revealed!
Srinivasan Parthasarathy

Srinivasan Parthasarathy

Overview

Srinivasan Parthasarathy is affiliated with The Ohio State University in the United States. Their research activity is primarily focused within the field of Medicine, with notable contributions in various subfields including Surgery, Anesthesiology and Pain Medicine, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, and Epidemiology.

The scientist's main topics of work encompass a range of clinical and therapeutic areas such as Anesthesia and Pain Management, Nausea and Vomiting Management, Anesthesia and Sedative Agents, Orthopaedic Implants and Arthroplasty, Hip and Femur Fractures, Shoulder Injury and Treatment, and Peripheral Nerve Disorders.

Prominent recent publications by Srinivasan Parthasarathy include:

  • Equal mixture of 2% lidocaine with adrenaline and 0.5% bupivacaine 20 mL provided faster onset of complete conduction blockade during ultrasound-guided supraclavicular brachial plexus block than 20 mL of 0.5% bupivacaine alone: a randomized double-blinded clinical trial (2023), published in Regional Anesthesia & Pain Medicine
  • Effectiveness of pre-emptive nerve block on opioid consumption in patients undergoing nasal surgery under general anaesthesia: A double-blinded randomised controlled study (2022), published in Indian Journal of Anaesthesia
  • Surgical Dislocation or the Modified Heuter Anterior Approach for Pipkin I and II Femoral Head Fracture Dislocations (2020), published in Journal of Orthopaedic Trauma
  • Nutrition and corona virus: Plan a diet in a pandemic (2020), published in International Journal of Research in Pharmaceutical Sciences
  • INSIGHTS INTO CORONA/CORONAVIRUS DISEASE 2019 PANDEMIC - OPINION VERSUS EVIDENCE (2021), published in Asian Journal of Pharmaceutical and Clinical Research

The scientist frequently publishes in venues such as:

  • Indian Journal of Anaesthesia
  • International Journal of Research in Pharmaceutical Sciences
  • SBV Journal of Basic Clinical and Applied Health Science
  • Asian Journal of Pharmaceutical and Clinical Research
  • Asian Journal of Pharmaceutical Research and Health Care

Among frequent collaborators are the following co-authors:

  • M. R. Suchitra
  • Balachandar Saravanan
  • Ashok S. Gavaskar
  • R Sripriya
  • Rufus V. Raj

Best Publications

  • Parallel Algorithms for Discovery of Association Rules

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

  • New algorithms for fast discovery of association rules

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

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

    Sitaram Asur;Srinivasan Parthasarathy;Duygu Ucar

  • Local Probabilistic Models for Link Prediction

    Chao Wang;V. Satuluri;S. Parthasarathy

  • Efficient community detection in large networks using content and links

    Yiye Ruan;David Fuhry;Srinivasan Parthasarathy

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

    Xiang Yue;Zhen Wang;Jingong Huang;Srinivasan Parthasarathy

  • Minimizing broadcast latency and redundancy in ad hoc networks

    Rajiv Gandhi;Arunesh Mishra;Srinivasan Parthasarathy

  • Incremental and interactive sequence mining

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

  • Fast mining of distance-based outliers in high-dimensional datasets

    Amol Ghoting;Srinivasan Parthasarathy;Matthew Eric Otey

  • Customized dynamic load balancing for a network of workstations

    M.J. Zaki;Wei Li;S. Parthasarathy

  • Fast Distributed Outlier Detection in Mixed-Attribute Data Sets

    Matthew Eric Otey;Amol Ghoting;Srinivasan Parthasarathy

  • Dependent rounding and its applications to approximation algorithms

    Rajiv Gandhi;Samir Khuller;Srinivasan Parthasarathy;Aravind Srinivasan

  • Scalable graph clustering using stochastic flows: applications to community discovery

    Venu Satuluri;Srinivasan Parthasarathy

  • Minimizing broadcast latency and redundancy in ad hoc networks

    Rajiv Gandhi;Srinivasan Parthasarathy;Arunesh Mishra

  • Algorithmic aspects of capacity in wireless networks

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

  • Evaluation of sampling for data mining of association rules

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

  • An ensemble framework for clustering protein–protein interaction networks

    Sitaram Asur;Duygu Ucar;Srinivasan Parthasarathy

  • Parallel Algorithms for Discovery of Association Rules

    Unknown

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

    Robert Stets;Sandhya Dwarkadas;Nikolaos Hardavellas;Galen Hunt

  • Local graph sparsification for scalable clustering

    Venu Satuluri;Srinivasan Parthasarathy;Yiye Ruan

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

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

  • Parallel data mining for association rules on shared memory systems

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

  • Query by output

    Quoc Trung Tran;Chee-Yong Chan;Srinivasan Parthasarathy

  • Extracting Analyzing and Visualizing Triangle K-Core Motifs within Networks

    Yang Zhang;Srinivasan Parthasarathy

  • Symmetrizations for clustering directed graphs

    Venu Satuluri;Srinivasan Parthasarathy

  • Customized Dynamic Load Balancing for a Network of Workstations1

    Mohammed Javeed Zaki;Wei Li;Srinivasan Parthasarathy

  • Evaluation of Sampling for Data Mining of Association Rules

    Mohammed Javeed Zaki;Srinivasan Parthasarathy;Wei Li

Frequent Co-Authors

Mohammed J. Zaki
Mohammed J. Zaki Rensselaer Polytechnic Institute
Mitsunori Ogihara
Mitsunori Ogihara University of Miami
Adriano Veloso
Adriano Veloso Universidade Federal de Minas Gerais
Sandhya Dwarkadas
Sandhya Dwarkadas University of Rochester
Wagner Meira
Wagner Meira Universidade Federal de Minas Gerais
Tahsin Kurc
Tahsin Kurc Stony Brook University
Raghu Machiraju
Raghu Machiraju The Ohio State University
Joel H. Saltz
Joel H. Saltz Stony Brook University
P. Sadayappan
P. Sadayappan University of Utah
Charu C. Aggarwal
Charu C. Aggarwal IBM (United States)

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

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens the door to a diverse range of online degree options and emerging career pathways. With the flexibility of remote learning, many students now consider enrolling in the best online colleges to obtain recognized and respected credentials without the constraints of location.

Alongside traditional computer science courses, you can pursue specialized programs tailored to fast-growing industries. For those drawn to gaming and interactive media, an online game design degree covers everything from programming and animation to user experience.

Cybersecurity is another in-demand field, and an cyber security degree helps students build the vital skills needed to protect data, networks, and information systems across industries.

Beyond tech, online programs now reach sectors like engineering and construction. If you prefer applying technical knowledge to real-world projects, consider construction degrees that focus on management, planning, and modern building technologies.

These related online degrees can expand your career possibilities, giving you the tools to thrive in a technology-driven job market.

Best Scientists Citing Srinivasan Parthasarathy

Trending Scientists