World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
9620
World Ranking
7493
National Ranking
78

Research.com Recognitions

  • 2013 - ACM Senior Member

Overview

Yogesh Simmhan is affiliated with the Indian Institute of Science in India and specializes primarily in Computer Science. Their research covers various subfields including Computer Networks and Communications, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, and Aerospace Engineering.

Their work centers around key topics such as:

  • IoT and Edge/Fog Computing
  • Cloud Computing and Resource Management
  • Advanced Neural Network Applications
  • Privacy-Preserving Technologies in Data
  • Advanced Graph Neural Networks
  • Complex Network Analysis Techniques
  • UAV Applications and Optimization

Yogesh Simmhan's recent scholarly contributions include:

  • Robust statistical calibration and characterization of portable low-cost air quality monitoring sensors to quantify real-time O 3 and NO 2 concentrations in diverse environments (2021), Atmospheric Measurement Techniques
  • Best influential spreaders identification using network global structural properties (2021), Scientific Reports
  • Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models (2022), Proceedings of the ACM on Measurement and Analysis of Computing Systems
  • Mapping genetic diversity with the GenomeIndia project (2025), Nature Genetics
  • Improved Algorithms for Co-Scheduling of Edge Analytics and Routes for UAV Fleet Missions (2023), IEEE/ACM Transactions on Networking

The scientist frequently collaborates with a number of coauthors. Notable frequent coauthors include:

  • Aakash Khochare
  • Suman Raj
  • Amrita Namtirtha
  • Prashanthi S.K
  • Pranjal Naman

Yogesh Simmhan has published extensively in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature Genetics
  • Future Generation Computer Systems
  • Atmospheric Measurement Techniques

In recognition of professional contributions, Simmhan was awarded the ACM Senior Member distinction in 2013.

Best Publications

  • A survey of data provenance in e-science

    Yogesh L. Simmhan;Beth Plale;Dennis Gannon

  • The Open Provenance Model core specification (v1.1)

    Luc Moreau;Ben Clifford;Juliana Freire;Joe Futrelle

  • A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade

    Rajkumar Buyya;Satish Narayana Srirama;Giuliano Casale;Rodrigo Calheiros

  • Cloud-Based Software Platform for Big Data Analytics in Smart Grids

    Yogesh Simmhan;Saima Aman;Alok Kumbhare;Rongyang Liu

  • Special Issue: The First Provenance Challenge

    Luc Moreau;Bertram Ludäscher;Ilkay Altintas;Roger S. Barga

  • The First Provenance Challenge

    Luc Moreau;Bertram Ludaescher;Ilkay Altintas;Roger S. Barga

  • A survey of data provenance techniques

    Yogesh L. Simmhan;Beth Plale;Dennis Gannon

  • Energy management systems: state of the art and emerging trends

    S. Aman;Y. Simmhan;V. K. Prasanna

  • Demystifying Fog Computing: Characterizing Architectures, Applications and Abstractions

    Prateeksha Varshney;Yogesh Simmhan

  • Karma2: Provenance Management for Data-Driven Workflows

    Yogesh L. Simmhan;Beth Plale;Dennis Gannon

  • A Framework for Collecting Provenance in Data-Centric Scientific Workflows

    Yogesh Simmhan;Beth Plale;Dennis Gannon

  • Programming the Grid: Distributed Software Components, P2P and Grid Web Services for Scientific Applications

    Dennis Gannon;Randall Bramley;Geoffrey Fox;Shava Smallen

  • An Analysis of Security and Privacy Issues in Smart Grid Software Architectures on Clouds

    Yogesh Simmhan;Alok Gautam Kumbhare;Baohua Cao;Viktor Prasanna

  • RIoTBench: An IoT benchmark for distributed stream processing systems

    Anshu Shukla;Shilpa Chaturvedi;Yogesh Simmhan

  • GoFFish: A Sub-graph Centric Framework for Large-Scale Graph Analytics

    Yogesh Simmhan;Alok Gautam Kumbhare;Charith Wickramaarachchi;Soonil Nagarkar

  • The Trident Scientific Workflow Workbench

    R. Barga;J. Jackson;N. Araujo;D. Guo

  • On Building Parallel & Grid Applications: Component Technology and Distributed Services

    Dennis Gannon;Sriram Krishnan;Liang Fang;Gopi Kandaswamy

  • Performance evaluation of the karma provenance framework for scientific workflows

    Yogesh L. Simmhan;Beth Plale;Dennis Gannon;Suresh Marru

  • Improving Energy Use Forecast for Campus Micro-grids Using Indirect Indicators

    Saima Aman;Yogesh Simmhan;Viktor K. Prasanna

  • The XCAT Science Portal

    Sriram Krishnan;Randall Bramley;Dennis Gannon;Rachana Ananthakrishnan

Frequent Co-Authors

Viktor K. Prasanna
Viktor K. Prasanna University of Southern California
Beth Plale
Beth Plale Indiana University
Dennis Gannon
Dennis Gannon Indiana University
Roger Barga
Roger Barga Microsoft (United States)
Alexander S. Szalay
Alexander S. Szalay Johns Hopkins University
Carole Goble
Carole Goble University of Manchester
Luc Moreau
Luc Moreau King's College London
Paul Groth
Paul Groth University of Amsterdam
Simon Miles
Simon Miles King's College London
Paolo Missier
Paolo Missier Newcastle University

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