World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4415
World Ranking
12715
National Ranking
5133

Santiago Grijalva publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Santiago Grijalva sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 186 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Santiago Grijalva D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Santiago Grijalva sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Santiago Grijalva is affiliated with the Georgia Institute of Technology in the United States. Their research primarily focuses on engineering, with a specific emphasis on electrical and electronic engineering and control and systems engineering. They also contribute to the fields of computer networks and communications, safety, risk, reliability and quality, and health, toxicology and mutagenesis.

The main topics covered by Santiago Grijalva's work include:

  • Smart Grid Energy Management
  • Optimal Power Flow Distribution
  • Microgrid Control and Optimization
  • Power System Optimization and Stability
  • Smart Grid Security and Resilience
  • Electric Power System Optimization
  • Electric Vehicles and Infrastructure

Their recent publications present research in a range of power systems and smart grid contexts, including:

  • "Smart Grid Cyber-Physical Situational Awareness of Complex Operational Technology Attacks: A Review," 2022, ACM Computing Surveys
  • "Solid-State Transformer and Hybrid Transformer With Integrated Energy Storage in Active Distribution Grids: Technical and Economic Comparison, Dispatch, and Control," 2022, IEEE Journal of Emerging and Selected Topics in Power Electronics
  • "Big data analytics for future electricity grids," 2020, Electric Power Systems Research
  • "How Blackouts during Heat Waves Amplify Mortality and Morbidity Risk," 2023, Environmental Science & Technology
  • "Solar PV Inverter Reactive Power Disaggregation and Control Setting Estimation," 2022, IEEE Transactions on Power Systems

Santiago Grijalva frequently publishes in journals and conferences such as:

  • Electric Power Systems Research
  • IEEE Transactions on Power Systems
  • 2022 North American Power Symposium (NAPS)
  • arXiv (Cornell University)
  • Proceedings of the Annual Hawaii International Conference on System Sciences

Their collaborative work includes frequent co-authors such as:

  • Samuel Talkington
  • Matthew J. Reno
  • Joseph A. Azzolini
  • Daniel K. Molzahn
  • Younes Seyedi

Best Publications

  • Prosumer-based smart grid architecture enables a flat, sustainable electricity industry

    Santiago Grijalva;Muhammad Umer Tariq

  • Modeling for Residential Electricity Optimization in Dynamic Pricing Environments

    T. Hubert;S. Grijalva

  • A review of reinforcement learning for autonomous building energy management

    Karl Mason;Santiago Grijalva

  • The role of big data in improving power system operation and protection

    Mladen Kezunovic;Le Xie;Santiago Grijalva

  • Proactive Management of Microgrids for Resiliency Enhancement: An Adaptive Robust Approach

    Amin Gholami;Tohid Shekari;Santiago Grijalva

  • Smart Grid Cyber-Physical Situational Awareness of Complex Operational Technology Attacks: A Review

    Unknown

  • Improving distribution network PV hosting capacity via smart inverter reactive power support

    John Seuss;Matthew J. Reno;Robert J. Broderick;Santiago Grijalva

  • Network Security and Privacy Challenges in Smart Vehicle-to-Grid

    Neetesh Saxena;Santiago Grijalva;Victor Chukwuka;Athanasios V. Vasilakos

  • Enhancement of linear ATC calculations by the incorporation of reactive power flows

    S. Grijalva;P.W. Sauer;J.D. Weber

  • Large-scale decentralized unit commitment

    Mohammad Javad Feizollahi;Mitch Costley;Shabbir Ahmed;Santiago Grijalva

  • Leveraging AMI Data for Distribution System Model Calibration and Situational Awareness

    Jouni Peppanen;Matthew J. Reno;Mohini Thakkar;Santiago Grijalva

  • Realizing smart grid benefits requires energy optimization algorithms at residential level

    Tanguy Hubert;Santiago Grijalva

  • A Data-Driven Approach for Detection and Estimation of Residential PV Installations

    Xiaochen Zhang;Santiago Grijalva

  • Oscillation Energy Analysis of Inter-Area Low-Frequency Oscillations in Power Systems

    Yiping Yu;Santiago Grijalva;James Jamal Thomas;Leilei Xiong

  • A Structure-Preserving Model and Sufficient Condition for Frequency Synchronization of Lossless Droop Inverter-Based AC Networks

    Nathan Ainsworth;Santiago Grijalva

  • Handling bad or missing smart meter data through advanced data imputation

    Jouni Peppanen;Xiaochen Zhang;Santiago Grijalva;Matthew J. Reno

  • Distribution System Model Calibration With Big Data From AMI and PV Inverters

    Jouni Peppanen;Matthew J. Reno;Robert J. Broderick;Santiago Grijalva

  • Distributed Frequency Control of Prosumer-Based Electric Energy Systems

    Masoud Honarvar Nazari;Zak Costello;Mohammad Javad Feizollahi;Santiago Grijalva

  • Big data analytics for future electricity grids

    Mladen Kezunovic;Pierre Pinson;Zoran Obradovic;Santiago Grijalva

  • Smart inverter capabilities for mitigating over-voltage on distribution systems with high penetrations of PV

    Matthew J. Reno;Robert J. Broderick;Santiago Grijalva

  • Prosumer-based control architecture for the future electricity grid

    Santiago Grijalva;Mitch Costley;Nathan Ainsworth

  • Reactive power considerations in linear ATC computation

    S. Grijalva;P.W. Sauer

  • A deep neural network approach for behind-the-meter residential PV size, tilt and azimuth estimation

    Karl Mason;Matthew J. Reno;Logan Blakely;Sadegh Vejdan

Frequent Co-Authors

Matthew J. Reno
Matthew J. Reno Sandia National Laboratories
Peter W. Sauer
Peter W. Sauer University of Illinois at Urbana-Champaign
Magnus Egerstedt
Magnus Egerstedt University of North Carolina at Chapel Hill
Houshang Karimi
Houshang Karimi York University
Mladen Kezunovic
Mladen Kezunovic Texas A&M University
Le Yi Wang
Le Yi Wang Wayne State University
Jean Mahseredjian
Jean Mahseredjian Polytechnique Montréal
Shabbir Ahmed
Shabbir Ahmed Georgia Institute of Technology
Deepak Divan
Deepak Divan Georgia Institute of Technology
A. P. Sakis Meliopoulos
A. P. Sakis Meliopoulos Georgia Institute of Technology

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