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Computer Science
USA
2025

D-Index & Metrics

Computer Science

D-Index
127
Citations
77848
World Ranking
110
National Ranking
65

Mario Gerla 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 Mario Gerla 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: 1,118 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Mario Gerla 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 Mario Gerla 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: 127 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2018 - ACM Fellow For contributions to design and analysis of mobile wireless protocols for vehicular safety and traffic applications

Overview

Mario Gerla was affiliated with the University of California, Los Angeles in the United States. Throughout their career, they contributed to research primarily in the fields of engineering and computer science, with a focus on several specialized subfields.

Their work covered areas including computer networks and communications, electrical and electronic engineering, control and systems engineering, building and construction, and media technology. Several main topics characterized their research output:

  • Vehicular Ad Hoc Networks (VANETs)
  • Traffic control and management
  • Traffic prediction and management techniques
  • Opportunistic and delay-tolerant networks
  • Distributed and parallel computing systems
  • IoT and edge/fog computing
  • Remote-sensing image classification

Mario Gerla published papers in various venues. Noteworthy among these were:

  • Adaptive Data Transmission Control for Spatio-temporal Data Retention over Crowds of Vehicles, published in 2021 in IEEE Transactions on Mobile Computing
  • Self-supervised image change detection method based on lightweight capsule network, published in 2024 in Journal of Applied Artificial Intelligence

Collaborations were a part of their research activity, involving frequent co-authors such as Daiki Nobayashi, Ichiro Goto, Teshiba Hiroki, Kazuya Tsukamoto, and Takeshi Ikenaga.

For their contributions to the design and analysis of mobile wireless protocols focused on vehicular safety and traffic applications, they were recognized as an ACM Fellow in 2018.

Best Publications

  • Multicluster, mobile, multimedia radio network

    Mario Gerla;Jack Tzu-Chieh Tsai

  • Adaptive clustering for mobile wireless networks

    C.R. Lin;M. Gerla

  • GloMoSim: a library for parallel simulation of large-scale wireless networks

    Xiang Zeng;Rajive Bagrodia;Mario Gerla

  • A group mobility model for ad hoc wireless networks

    Xiaoyan Hong;Mario Gerla;Guangyu Pei;Ching-Chuan Chiang

  • Split multipath routing with maximally disjoint paths in ad hoc networks

    S.-J. Lee;M. Gerla

  • TCP westwood: Bandwidth estimation for enhanced transport over wireless links

    Saverio Mascolo;Claudio Casetti;Mario Gerla;M. Y. Sanadidi

  • Fisheye state routing: a routing scheme for ad hoc wireless networks

    Guangyu Pei;M. Gerla;Tsu-Wei Chen

  • On-demand multicast routing protocol

    Sung-Ju Lee;M. Gerla;Ching-Chuan Chiang

  • Scalable routing protocols for mobile ad hoc networks

    Xiaoyan Hong;Kaixin Xu;M. Gerla

  • On-demand multicast routing protocol in multihop wireless mobile networks

    Sung Ju Lee;William Su;Mario Gerla

  • Scalable routing strategies for ad hoc wireless networks

    A. Iwata;Ching-Chuan Chiang;Guangyu Pei;M. Gerla

  • AODV-BR: backup routing in ad hoc networks

    S.-J. Lee;M. Gerla

  • Internet of vehicles: From intelligent grid to autonomous cars and vehicular clouds

    Mario Gerla;Eun-Kyu Lee;Giovanni Pau;Uichin Lee

  • How effective is the IEEE 802.11 RTS/CTS handshake in ad hoc networks

    Kaixin Xu;M. Gerla;Sang Bae

  • The challenges of building mobile underwater wireless networks for aquatic applications

    Jun-Hong Cui;Jiejun Kong;M. Gerla;Shengli Zhou

  • Mobility prediction and routing in ad hoc wireless networks

    William Su;Sung-Ju Lee;Mario Gerla

  • GloMoSim: A Scalable Network Simulation Environment

    Lokesh Bajaj;Mineo Takai;Rajat Ahuja;Ken Tang

  • The flow deviation method: An approach to store-and-forward communication network design

    Luigi Fratta;Mario Gerla;Leonard Kleinrock

  • The impact of multihop wireless channel on TCP throughput and loss

    Z. Fu;P. Zerfos;H. Luo;S. Lu

  • A performance comparison study of ad hoc wireless multicast protocols

    Sung-Ju Lee;W. Su;J. Hsu;M. Gerla

Frequent Co-Authors

M. Y. Sanadidi
M. Y. Sanadidi University of California, Los Angeles
Giovanni Pau
Giovanni Pau University of California, Los Angeles
Uichin Lee
Uichin Lee Korea Advanced Institute of Science and Technology
Ling-Jyh Chen
Ling-Jyh Chen Academia Sinica
Xiaoyan Hong
Xiaoyan Hong University of Alabama
Jun-Hong Cui
Jun-Hong Cui Jilin University
Claudio E. Palazzi
Claudio E. Palazzi University of Padua
Luigi Fratta
Luigi Fratta Polytechnic University of Milan
Saverio Mascolo
Saverio Mascolo Polytechnic University of Bari
Sung-Ju Lee
Sung-Ju Lee Korea Advanced Institute of Science and Technology

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