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D-Index & Metrics

Computer Science

D-Index
96
Citations
34110
World Ranking
444
National Ranking
245

J.J. Garcia-Luna-Aceves 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 J.J. Garcia-Luna-Aceves 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: 624 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

J.J. Garcia-Luna-Aceves 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 J.J. Garcia-Luna-Aceves 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: 96 D-Index — 97th percentile

97% 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

  • 2011 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For pioneering contributions to the theory and design of communication protocols for ad-hoc wireless networks
  • 2010 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2008 - ACM Fellow For contributions to the theory and design of computer communication protocols.
  • 2006 - IEEE Fellow For contributions to theory and design of communication protocols for network routing and channel access

Overview

J.J. Garcia-Luna-Aceves is affiliated with the University of California, Santa Cruz in the United States. Their research primarily spans the fields of Computer Science and Engineering, with a particular focus on subfields such as Computer Networks and Communications, Electrical and Electronic Engineering, and Materials Chemistry.

The scientist's work covers a range of topics related to networking technologies, including Wireless Networks and Protocols, Cooperative Communication and Network Coding, IoT Networks and Protocols, Software-Defined Networks and 5G, Network Traffic and Congestion Control, Peer-to-Peer Network Technologies, and Caching and Content Delivery.

Recent published papers by J.J. Garcia-Luna-Aceves include:

  • Making slotted ALOHA efficient and fair using reinforcement learning (2021), published in Computer Communications
  • Enhancing Video Conference Applications with VCApather: A Network as a Service Perspective (2025), published in ACM Transactions on Multimedia Computing Communications and Applications
  • Reversing The Meaning of Node Connectivity for Content Placement in Networks of Caches (2020), published at the 2020 International Conference on Computing, Networking and Communications (ICNC)
  • Energy and bandwidth-efficient channel access for local area machine-to-machine communication (2020), published in Wireless Networks
  • An information-centric networking architecture with small routing tables (2022), published in ITU Journal on Future and Evolving Technologies

Their frequent coauthors include Cédric Westphal, Ramesh Srinivasan, Can Zhang, Luca de Alfaro, and Dongbiao He.

J.J. Garcia-Luna-Aceves has published in a variety of venues, keeping a steady presence in:

  • Computer Communications
  • ACM Transactions on Multimedia Computing Communications and Applications
  • 2020 International Conference on Computing, Networking and Communications (ICNC)
  • Wireless Networks
  • ITU Journal on Future and Evolving Technologies

The scientist has been recognized by several professional organizations. Awards include the Edward J. McCluskey Technical Achievement Award from the IEEE Computer Society in 2011 for contributions to communication protocols for ad-hoc wireless networks. They were also named Fellow of the American Association for the Advancement of Science (AAAS) in 2010 and an ACM Fellow in 2008 for contributions to computer communication protocols. Earlier recognition came as an IEEE Fellow in 2006 for work in network routing and channel access protocol design.

Best Publications

  • An efficient routing protocol for wireless networks

    Shree Murthy;J. J. Garcia-Luna-Aceves

  • Energy-efficient collision-free medium access control for wireless sensor networks

    Venkatesh Rajendran;Katia Obraczka;J. J. Garcia-Luna-Aceves

  • The core-assisted mesh protocol

    J.J. Garcia-Luna-Aceves;E.L. Madruga

  • Floor acquisition multiple access (FAMA) for packet-radio networks

    Chane L. Fullmer;J. J. Garcia-Luna-Aceves

  • A new approach to channel access scheduling for Ad Hoc networks

    Lichun Bao;J. J. Garcia-Luna-Aceves

  • Solutions to hidden terminal problems in wireless networks

    Chane L. Fullmer;J. J. Garcia-Luna-Aceves

  • Energy-efficient, collision-free medium access control for wireless sensor networks

    Venkatesh Rajendran;Katia Obraczka;J. J. Garcia-Luna-Aceves

  • System and method for using a mapping between client addresses and addresses of caches to support content delivery

    Jose J. Garcia-Luna-Aceves;Bradley R. Smith

  • Source-tree routing in wireless networks

    J.J. Garcia-Luna-Aceves;M. Spohn

  • Topology management in ad hoc networks

    Lichun Bao;J. J. Garcia-Luna-Aceves

  • A unified routing scheme for ad-hoc internetworking

    J Joaquin Garcia-Luna-Aceves;David A. Beyer;Thane J. Frivold

  • A simple approximation to minimum-delay routing

    Srinivas Vutukury;J. J. Garcia-Luna-Aceves

  • Transmission scheduling in ad hoc networks with directional antennas

    Lichun Bao;J.J. Garcia-Luna-Aceves

  • System and method for information object routing in computer networks

    Jyoti Raju;J. J. Garcia-Luna-Aceves;Bradley R. Smith

  • A source-based algorithm for delay-constrained minimum-cost multicasting

    Qing Zhu;M. Parsa;J.J. Garcia-Luna-Aceves

  • System and method for using network layer uniform resource locator routing to locate the closest server carrying specific content

    Jose J. Garcia-Luna-Aceves;Bradley R. Smith

  • Routing mechanisms for mobile ad hoc networks based on the energy drain rate

    Dongkyun Kim;J.J. Garcia-Luna-Aceves;K. Obraczka;J.-C. Cano

  • A loop-free extended Bellman-Ford routing protocol without bouncing effect

    C. Cheng;R. Riley;S. P. R. Kumar;J. J. Garcia-Luna-Aceves

  • A routing protocol for packet radio networks

    Shree Murthy;J. J. Garcia-Luna-Aceves

  • Delay analysis of IEEE 802.11 in single-hop networks

    M.M. Carvalho;J.J. Garcia-Luna-Aceves

Frequent Co-Authors

Katia Obraczka
Katia Obraczka University of California, Santa Cruz
Dongkyun Kim
Dongkyun Kim Kyungpook National University
Juan-Carlos Cano
Juan-Carlos Cano Universitat Politècnica de València
Pietro Manzoni
Pietro Manzoni Universitat Politècnica de València
Mario Gerla
Mario Gerla University of California, Los Angeles
Charles E. Perkins
Charles E. Perkins Nokia (Finland)
Jeongkeun Lee
Jeongkeun Lee Intel (United States)
Yanghee Choi
Yanghee Choi Seoul National University
Wolfgang Effelsberg
Wolfgang Effelsberg University of Mannheim
Brian Neil Levine
Brian Neil Levine University of Massachusetts Amherst

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