World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
86
Citations
23468
World Ranking
368
National Ranking
14

Computer Science

D-Index
88
Citations
24870
World Ranking
693
National Ranking
14

Dipti Srinivasan publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Dipti Srinivasan sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 422 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Dipti Srinivasan D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Dipti Srinivasan sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 86 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Dipti Srinivasan is affiliated with the National University of Singapore in Singapore. Their research spans primarily the fields of Engineering and Computer Science, with a strong concentration on Electrical and Electronic Engineering, Artificial Intelligence, and Control and Systems Engineering. Their work also covers the subfields of Automotive Engineering and Renewable Energy, Sustainability and the Environment.

The scientist's research focuses on several key topics related to energy and power systems. These include:

  • Smart Grid Energy Management
  • Energy Load and Power Forecasting
  • Optimal Power Flow Distribution
  • Solar Radiation and Photovoltaics
  • Microgrid Control and Optimization
  • Electric Power System Optimization
  • Electric Vehicles and Infrastructure

Dipti Srinivasan has published extensively, contributing 215 publications in engineering and 68 in computer science. Their frequent publication venues indicate a focus on sustainable and renewable energy and include:

  • IEEE Transactions on Sustainable Energy
  • Solar Energy
  • Applied Energy
  • Energy
  • Renewable and Sustainable Energy Reviews

Notable recent papers featuring their work include:

  • "Physical Safety and Cyber Security Analysis of Multi-Agent Systems: A Survey of Recent Advances," published in 2021 in IEEE/CAA Journal of Automatica Sinica
  • "Review of power system impacts at high PV penetration Part I: Factors limiting PV penetration," published in 2020 in Solar Energy
  • "A Dual-Population-Based Evolutionary Algorithm for Constrained Multiobjective Optimization," published in 2021 in IEEE Transactions on Evolutionary Computation
  • "An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis," published in 2021 in IEEE Transactions on Neural Networks and Learning Systems
  • "Solar irradiance resource and forecasting: a comprehensive review," published in 2020 in IET Renewable Power Generation

In addition to journal publications, Dipti Srinivasan has contributed to book literature, including a publication with Springer Science+Business Media titled Sustainable Energy Solutions for Remote Areas in the Tropics, released in 2020.

Frequent coauthors in their research collaborations include:

  • Anupam Trivedi
  • Wenjie Zhang
  • Dhivya Sampath Kumar
  • Oktoviano Gandhi
  • Abbas Khosravi

Best Publications

  • Demand Side Management in Smart Grid Using Heuristic Optimization

    T. Logenthiran;D. Srinivasan;Tan Zong Shun

  • An Introduction to Multi-Agent Systems

    P. G. Balaji;D. Srinivasan

  • Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals

    Hao Quan;Dipti Srinivasan;Abbas Khosravi

  • A Survey of Multiobjective Evolutionary Algorithms Based on Decomposition

    Anupam Trivedi;Dipti Srinivasan;Krishnendu Sanyal;Abhiroop Ghosh

  • Neural-network-based signature recognition for harmonic source identification

    D. Srinivasan;W.S. Ng;A.C. Liew

  • Neural Networks for Real-Time Traffic Signal Control

    D. Srinivasan;Min Chee Choy;R.L. Cheu

  • Multi-agent system for energy resource scheduling of integrated microgrids in a distributed system

    T. Logenthiran;Dipti Srinivasan;Ashwin M. Khambadkone

  • Multiagent System for Real-Time Operation of a Microgrid in Real-Time Digital Simulator

    T. Logenthiran;D. Srinivasan;A. M. Khambadkone;Htay Nwe Aung

  • 2015 IEEE Symposium Series on Computational Intelligence

    Honorary Chairs;Jacek Zurada;Andries Engelbrecht;Mengjie Zhang

  • Evolutionary computation in power systems

    Vladimiro Miranda;Dipti Srinivasan;LM Proença

  • Cooperative, hybrid agent architecture for real-time traffic signal control

    Min Chee Choy;D. Srinivasan;R.L. Cheu

  • Multi-agent coordination for DER in MicroGrid

    T. Logenthiran;D. Srinivasan;D. Wong

  • Smart Charging Strategies for Optimal Integration of Plug-In Electric Vehicles Within Existing Distribution System Infrastructure

    Rahul Mehta;Dipti Srinivasan;Ashwin M. Khambadkone;Jing Yang

  • Physical Safety and Cyber Security Analysis of Multi-Agent Systems: A Survey of Recent Advances

    Dan Zhang;Gang Feng;Yang Shi;Dipti Srinivasan

  • Automatic hourly solar forecasting using machine learning models

    Gokhan Mert Yagli;Dazhi Yang;Dipti Srinivasan

  • Distributed Geometric Fuzzy Multiagent Urban Traffic Signal Control

    B P Gokulan;D Srinivasan

  • Approaches to wind power curve modeling: A review and discussion

    Yun Wang;Yun Wang;Qinghua Hu;Linhao Li;Aoife M. Foley

  • Multiobjective Evolutionary Algorithm With Controllable Focus on the Knees of the Pareto Front

    L. Rachmawati;D. Srinivasan

  • Mobile agents based routing protocol for mobile ad hoc networks

    S. Marwaha;Chen Khong Tham;D. Srinivasan

  • Review of power system impacts at high PV penetration Part I: Factors limiting PV penetration

    Oktoviano Gandhi;Dhivya Sampath Kumar;Carlos D. Rodríguez-Gallegos;Dipti Srinivasan

  • Urban traffic signal control using reinforcement learning agents

    P.G. Balaji;X. German;D. Srinivasan

  • Demand forecasting using fuzzy neural computation, with special emphasis on weekend and public holiday forecasting

    Dipti Srinivasan;C.S. Chang;A.C. Liew

  • Interval Type-2 Fuzzy Logic Systems for Load Forecasting: A Comparative Study

    A. Khosravi;S. Nahavandi;D. Creighton;D. Srinivasan

Frequent Co-Authors

Thomas Reindl
Thomas Reindl National University of Singapore
Akshay Kumar Rathore
Akshay Kumar Rathore Concordia University
Ruey Long Cheu
Ruey Long Cheu The University of Texas at El Paso
Abbas Khosravi
Abbas Khosravi Deakin University
A.C. Liew
A.C. Liew National University of Singapore
Dazhi Yang
Dazhi Yang Harbin Institute of Technology
Saeid Nahavandi
Saeid Nahavandi Swinburne University of Technology
Chen-Khong Tham
Chen-Khong Tham National University of Singapore
Kar-Ann Toh
Kar-Ann Toh Yonsei University
Ashwin M. Khambadkone
Ashwin M. Khambadkone National University of Singapore

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