World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
8010
World Ranking
8763
National Ranking
3747

Nada Golmie 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 Nada Golmie 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: 224 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Nada Golmie 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 Nada Golmie 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Nada Golmie is affiliated with the National Institute of Standards and Technology in the United States. Their research spans several core fields including engineering and computer science, with notable contributions in electrical and electronic engineering, computer networks and communications, artificial intelligence, aerospace engineering, and building and construction.

The primary topics of Golmie's work include millimeter-wave propagation and modeling, indoor and outdoor localization technologies, IoT and edge/fog computing, advanced MIMO systems optimization, wireless networks and protocols, traffic prediction and management techniques, and smart grid security and resilience.

Golmie has published extensively, with frequent contributions to the following venues:

  • IEEE Internet of Things Journal
  • International Journal of Sensor Networks
  • IEEE Transactions on Microwave Theory and Techniques
  • 2022 IEEE Wireless Communications and Networking Conference (WCNC)
  • IEEE Transactions on Communications

Recent published papers include:

  • Toward Edge-Based Deep Learning in Industrial Internet of Things, 2020, IEEE Internet of Things Journal
  • Integrated Sensing and Communication: Enabling Techniques, Applications, Tools and Data Sets, Standardization, and Future Directions, 2022, IEEE Internet of Things Journal
  • Reinforcement Learning-Based Control and Networking Co-Design for Industrial Internet of Things, 2020, IEEE Journal on Selected Areas in Communications
  • Survey of Graph Neural Networks and Applications, 2022, Wireless Communications and Mobile Computing
  • Toward Deep Transfer Learning in Industrial Internet of Things, 2021, IEEE Internet of Things Journal

Frequent collaborators with Golmie include Wei Yu, David Griffith, Tanguy Ropitault, Camillo Gentile, and Xing Liu, indicating active engagement in collaborative research efforts across multiple projects.

Best Publications

  • NIST Framework and Roadmap for Smart Grid Interoperability Standards, Release 1.0

    George W. Arnold;David A. Wollman;Gerald J. FitzPatrick;Dean Prochaska

  • A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective

    Hansong Xu;Wei Yu;David Griffith;Nada Golmie

  • Vertical Handoff Decision Algorithms for Providing Optimized Performance in Heterogeneous Wireless Networks

    SuKyoung Lee;K. Sriram;Kyungsoo Kim;Yoon Hyuk Kim

  • Performance analysis of low rate wireless technologies for medical applications

    N. Golmie;D. Cypher;O. Rebala

  • Bluetooth and WLAN coexistence: challenges and solutions

    N. Golmie;N. Chevrollier;O. Rebala

  • Modeling Smart Grid Applications with Co-Simulation

    Tim Godfrey;Sara Mullen;David W. Griffith;Nada Golmie

  • Prevailing over wires in healthcare environments: benefits and challenges

    D. Cypher;N. Chevrollier;N. Montavont;N. Golmie

  • Interference of bluetooth and IEEE 802.11: simulation modeling and performance evaluation

    N. Golmie;R. E. Van Dyck;A. Soltanian

  • Toward Edge-Based Deep Learning in Industrial Internet of Things

    Fan Liang;Wei Yu;Xing Liu;David Griffith

  • Integrated Sensing and Communication: Enabling Techniques, Applications, Tools and Data Sets, Standardization, and Future Directions

    Unknown

  • A differentiated optical services model for WDM networks

    N. Golmie;T.D. Ndousse;D.H. Su

  • Interference evaluation of Bluetooth and IEEE 802.11b systems

    N. Golmie;R. E. Van Dyck;A. Soltanian;A. Tonnerre

  • Toward Integrating Distributed Energy Resources and Storage Devices in Smart Grid

    Guobin Xu;Wei Yu;David Griffith;Nada Golmie

  • NIST Framework and Roadmap for Smart Grid Interoperability Standards, Release 3.0

    Christopher Greer;David A. Wollman;Dean E. Prochaska;Paul A. Boynton

  • Coexistence in Wireless Networks: Challenges and System-Level Solutions in the Unlicensed Bands

    Nada Golmie

  • Bluetooth adaptive frequency hopping and scheduling

    N. Golmie;O. Rebala;N. Chevrollier

  • Interference in the 2.4 GHz ISM band: impact on the Bluetooth access control performance

    N. Golmie;F. Mouveaux

  • Ultra-Dense Networks: Survey of State of the Art and Future Directions

    Wei Yu;Hansong Xu;Hanlin Zhang;David Griffith

  • An integrated detection system against false data injection attacks in the Smart Grid

    Wei Yu;David Griffith;Linqiang Ge;Sulabh Bhattarai

  • A review of contention resolution algorithms for IEEE 802.14 networks

    N. Golmie;Y. Saintillan;D.H. Su

  • Timely Effective Handover Mechanism in Heterogeneous Wireless Networks

    Sang-Jo Yoo;David Cypher;Nada Golmie

  • NIST Framework and Roadmap for Smart Grid Interoperability Standards, Release 2.0

    George W. Arnold;Gerald J. FitzPatrick;David A. Wollman;Thomas L. Nelson

  • Prevailing Over Wires in Healthcare Environments: Benefits and Challenges | NIST

    David E. Cypher;Nicolas Chevrollier;Nicolas Montavont;Nada T. Golmie

Frequent Co-Authors

David Griffith
David Griffith University of Wollongong
Wei Yu
Wei Yu Towson University
Kate A. Remley
Kate A. Remley National Institute of Standards and Technology
Michele Zorzi
Michele Zorzi University of Padua
Jörg Liebeherr
Jörg Liebeherr University of Toronto
Jelena Misic
Jelena Misic Toronto Metropolitan University
Christopher L. Holloway
Christopher L. Holloway National Institute of Standards and Technology
Dylan F. Williams
Dylan F. Williams National Institute of Standards and Technology
Lang Tong
Lang Tong Cornell University
Michele Polese
Michele Polese Northeastern University

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