World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
11043
World Ranking
5311
National Ranking
158

Nguyen H. Tran 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 Nguyen H. Tran 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: 261 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Nguyen H. Tran 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 Nguyen H. Tran 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Nguyen H. Tran is affiliated with the University of Sydney in Australia and has a substantial research output primarily in the fields of Computer Science and Engineering. Their work spans across multiple subfields, including Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, and Information Systems.

The research topics covered by Nguyen H. Tran focus on issues related to privacy-preserving technologies in data, IoT and edge/fog computing, stochastic gradient optimization techniques, mobile crowdsensing and crowdsourcing, age of information optimization, UAV applications and optimization, and advanced wireless communication technologies.

Nguyen H. Tran has been involved in a diverse set of publications, including recent papers such as:

  • A Crowdsourcing Framework for On-Device Federated Learning (2020, IEEE Transactions on Wireless Communications)
  • Personalized Federated Learning with Moreau Envelopes (2020, arXiv (Cornell University))
  • Network Slicing: Recent Advances, Taxonomy, Requirements, and Open Research Challenges (2020, IEEE Access)
  • An Incentive Mechanism for Federated Learning in Wireless Cellular Networks: An Auction Approach (2021, IEEE Transactions on Wireless Communications)
  • Deep Learning Based Caching for Self-Driving Cars in Multi-Access Edge Computing (2020, IEEE Transactions on Intelligent Transportation Systems)

Nguyen H. Tran frequently publishes in several venues, with notable contributions made in:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Network and Service Management

Their collaborations include work with a range of co-authors who contribute to a significant portion of their research, such as:

  • Choong Seon Hong
  • Zhu Han
  • Shashi Raj Pandey
  • Minh N. H. Nguyen
  • Walid Saad

In addition to journal and conference publications, Nguyen H. Tran has also contributed to book publications, notably a work published by the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering titled Quality, Reliability, Security and Robustness in Heterogeneous Systems (2021).

Best Publications

  • Federated Learning over Wireless Networks: Optimization Model Design and Analysis

    Nguyen H. Tran;Wei Bao;Albert Zomaya;N H Nguyen Minh

  • Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation

    Canh T. Dinh;Nguyen H. Tran;Minh N. H. Nguyen;Choong Seon Hong

  • Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism

    Latif U. Khan;Shashi Raj Pandey;Nguyen H. Tran;Walid Saad

  • Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

    Latif U. Khan;Ibrar Yaqoob;Nguyen H. Tran;S. M. Ahsan Kazmi

  • Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach

    Madyan Alsenwi;Nguyen H. Tran;Mehdi Bennis;Shashi Raj Pandey

  • A Crowdsourcing Framework for On-Device Federated Learning

    Shashi Raj Pandey;Nguyen H. Tran;Mehdi Bennis;Yan Kyaw Tun

  • Game Theory for Cyber Security and Privacy

    Cuong T. Do;Nguyen H. Tran;Choongseon Hong;Charles A. Kamhoua

  • Joint Communication, Computation, Caching, and Control in Big Data Multi-Access Edge Computing

    Anselme Ndikumana;Nguyen H. Tran;Tai Manh Ho;Zhu Han

  • Traffic-Aware and Energy-Efficient vNF Placement for Service Chaining: Joint Sampling and Matching Approach

    Chuan Pham;Nguyen H. Tran;Shaolei Ren;Walid Saad

  • Personalized Federated Learning with Moreau Envelopes

    Canh T. Dinh;Nguyen H. Tran;Tuan Dung Nguyen

  • eMBB-URLLC Resource Slicing: A Risk-Sensitive Approach

    Madyan Alsenwi;Nguyen H. Tran;Mehdi Bennis;Anupam Kumar Bairagi

  • Network Slicing: Recent Advances, Taxonomy, Requirements, and Open Research Challenges

    Latif U. Khan;Ibrar Yaqoob;Nguyen H. Tran;Zhu Han

  • Deep Learning Based Caching for Self-Driving Cars in Multi-Access Edge Computing

    Anselme Ndikumana;Nguyen H. Tran;Do Hyeon Kim;Ki Tae Kim

  • An Incentive Mechanism for Federated Learning in Wireless Cellular Networks: An Auction Approach

    Tra Huong Thi Le;Nguyen H. Tran;Yan Kyaw Tun;Minh N. H. Nguyen

  • Cell-Free Massive MIMO for Wireless Federated Learning

    Tung Thanh Vu;Duy Trong Ngo;Nguyen H. Tran;Hien Quoc Ngo

  • Energy-Efficient Resource Management in UAV-Assisted Mobile Edge Computing

    Yan Kyaw Tun;Yu Min Park;Nguyen H. Tran;Walid Saad

  • Decentralized Computation Offloading and Resource Allocation for Mobile-Edge Computing: A Matching Game Approach

    Quoc-Viet Pham;Tuan Leanh;Nguyen H. Tran;Bang Ju Park

  • A proximal algorithm for joint resource allocation and minimizing carbon footprint in geo-distributed fog computing

    Cuong T. Do;Nguyen H. Tran;Chuan Pham;Md. Golam Rabiul Alam

  • Coexistence Mechanism Between eMBB and uRLLC in 5G Wireless Networks

    Anupam Kumar Bairagi;Md. Shirajum Munir;Madyan Alsenwi;Nguyen H. Tran

  • Federated Learning-Based Cognitive Detection of Jamming Attack in Flying Ad-Hoc Network

    Nishat I. Mowla;Nguyen H. Tran;Inshil Doh;Kijoon Chae

  • Resource Allocation for Ultra-Reliable and Enhanced Mobile Broadband IoT Applications in Fog Network

    Sarder Fakhrul Abedin;Md. Golam Rabiul Alam;S. M. Ahsan Kazmi;Nguyen H. Tran

  • Mode Selection and Resource Allocation in Device-to-Device Communications: A Matching Game Approach

    S. M. Ahsan Kazmi;Nguyen H. Tran;Walid Saad;Zhu Han

Frequent Co-Authors

Choong Seon Hong
Choong Seon Hong Kyung Hee University
Zhu Han
Zhu Han University of Houston
Walid Saad
Walid Saad Virginia Tech
Shaolei Ren
Shaolei Ren University of California, Riverside
Eui-Nam Huh
Eui-Nam Huh Kyung Hee University
Dusit Niyato
Dusit Niyato Nanyang Technological University
Long Bao Le
Long Bao Le Institut National de la Recherche Scientifique
Mehdi Bennis
Mehdi Bennis University of Oulu
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Mohamed Cheriet
Mohamed Cheriet École de Technologie Supérieure

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