World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5607
World Ranking
12087
National Ranking
227

Nirvana Meratnia 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 Nirvana Meratnia 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: 217 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Nirvana Meratnia 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 Nirvana Meratnia 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Nirvana Meratnia is affiliated with the University of Twente in the Netherlands and has an extensive research portfolio primarily in computer science and engineering. Their body of work includes 55 publications in computer science and 27 in engineering, reflecting a strong engagement in both foundational and applied research.

Their research spans several subfields within these domains, notably:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Signal Processing
  • Industrial and Manufacturing Engineering

Meratnia's main research topics include a diverse set of technological and methodological areas:

  • Indoor and Outdoor Localization Technologies
  • Privacy-Preserving Technologies in Data
  • Speech and Audio Processing
  • Cryptography and Data Security
  • IoT and Edge/Fog Computing
  • Explainable Artificial Intelligence (XAI)
  • Artificial Intelligence in Healthcare and Education

They have frequently published in the following venues, indicating recurring contributions across a broad range of conferences and journals:

  • arXiv (Cornell University)
  • Sensors
  • 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
  • IEEE Internet of Things Journal
  • ACM Transactions on Intelligent Systems and Technology

Some of the recent papers by Meratnia showcase their research interests and scholarly activity:

  • Comparing Apples and Oranges in IoT Context: A Deep Dive Into Methods for Comparing IoT Platforms (2020), IEEE Internet of Things Journal
  • Privacy-preserving Speech Emotion Recognition through Semi-Supervised Federated Learning (2022), 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
  • Threat Modeling-How to Visualize Attacks on IOTA? (2021), Sensors
  • Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels (2023), ACM Transactions on Intelligent Systems and Technology
  • A Domain-Independent Generative Adversarial Network for Activity Recognition Using WiFi CSI Data (2021), Sensors

Meratnia maintains collaborative links within the research community, working frequently with coauthors such as:

  • Tanır Özçelebi
  • Vasileios Tsouvalas
  • Bram van Berlo
  • Mike Holenderski
  • Gizem Nur Karagoz

Best Publications

  • Outlier Detection Techniques for Wireless Sensor Networks: A Survey

    Yang Zhang;Nirvana Meratnia;Paul Havinga

  • Spatiotemporal Compression Techniques for Moving Point Objects

    Nirvana Meratnia;R.A. de By

  • Underwater Acoustic Wireless Sensor Networks: Advances and Future Trends in Physical, MAC and Routing Layers

    Salvador Climent;Antonio Sanchez;Juan Vicente Capella;Nirvana Meratnia

  • Statistics-based outlier detection for wireless sensor networks

    Y. Zhang;N. A. S. Hamm;N. Meratnia;A. Stein

  • Distributed Event Detection in Wireless Sensor Networks for Disaster Management

    Majid Bahrepour;Nirvana Meratnia;Mannes Poel;Zahra Taghikhaki

  • Distributed online outlier detection in wireless sensor networks using ellipsoidal support vector machine

    Yang Zhang;Nirvana Meratnia;Paul J.M. Havinga

  • A directional data dissemination protocol for vehicular environments

    Ramon S. Schwartz;Rafael R. R. Barbosa;Nirvana Meratnia;Geert Heijenk

  • Adaptive and Online One-Class Support Vector Machine-Based Outlier Detection Techniques for Wireless Sensor Networks

    Yang Zhang;Nirvana Meratnia;Paul Havinga

  • Decentralized enterprise systems: a multiplatform wireless sensor network approach

    M. Marin-Perianu;N. Meratnia;P. Havinga;L.M.S. de Souza

  • Performance analysis of LoRa radio for an indoor IoT applications

    Eyuel D. Ayele;Chiel Hakkenberg;Jan Pieter Meijers;Kyle Zhang

  • Automatic Fire Detection: A Survey from Wireless Sensor Network Perspective

    M. Bahrepour;Nirvana Meratnia;Paul J.M. Havinga

  • Sensor fusion-based event detection in Wireless Sensor Networks

    Majid Bahrepour;Nirvana Meratnia;Paul J. M. Havinga

  • An online outlier detection technique for wireless sensor networks using unsupervised quarter-sphere support vector machine

    Zhang Yang;N. Meratnia;P. Havinga

  • Sensing solutions for collecting spatio-temporal data for wildlife monitoring applications: a review

    Mitra Baratchi;Nirvana Meratnia;Paul J. M. Havinga;Andrew K. Skidmore

  • A hierarchical hidden semi-Markov model for modeling mobility data

    Mitra Baratchi;Nirvana Meratnia;Paul J. M. Havinga;Andrew K. Skidmore

  • Aggregation and comparison of trajectories

    Nirvana Meratnia;Rolf A. de By

  • Underwater Sensor Networks: A New Energy Efficient and Robust Architecture

    Salvador Climent;Juan Vincente Capella;Nirvana Meratnia;Juan José Serrano

  • Sensing motion using spectral and spatial analysis of WLAN RSSI

    Kavitha Muthukrishnan;Maria Lijding;Nirvana Meratnia;Paul Havinga

  • Use of AI Techniques for Residential Fire Detection in Wireless Sensor Networks

    Majid Bahrepour;Nirvana Meratnia;Paul J. M. Havinga

  • Poaching Detection Technologies—A Survey

    Jacob Wilhelm Kamminga;Eyuel Debebe Ayele;Nirvana Meratnia;Paul J.M. Havinga

  • Decentralized Enterprise Systems: A Multi-platform Wireless Sensor Networks Approach

    Mihai Marin Perianu;Nirvana Meratnia;Paul J.M. Havinga;L. Moreira Sá de Souza

Frequent Co-Authors

Paul J.M. Havinga
Paul J.M. Havinga University of Twente
Andrew K. Skidmore
Andrew K. Skidmore University of Twente
Bart A. Nolet
Bart A. Nolet University of Amsterdam
Roshanak Darvishzadeh
Roshanak Darvishzadeh University of Twente
Mannes Poel
Mannes Poel University of Twente
Chiara Petrioli
Chiara Petrioli Sapienza University of Rome
Alfred Stein
Alfred Stein University of Twente
Hongbo Jiang
Hongbo Jiang Hunan University
Michele Zorzi
Michele Zorzi University of Padua
Torsten Braun
Torsten Braun University of Bern

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees and certifications can open up even more opportunities for students interested in Computer Science. For those considering a related discipline, an online bachelor’s in electrical engineering is an excellent choice, blending hardware knowledge and programming skills.

Many students also seek to boost employability with certifications for jobs that can be completed quickly and lead to well-paying tech and IT roles. These short-term programs are ideal for developing specific skills or pivoting into new fields.

Looking to advance quickly? The quickest online masters degree options allow motivated professionals to gain a competitive edge and move into leadership or specialized positions in less time than traditional programs.

For long-term career success, choosing one of the most worthwhile masters degrees ensures your investment translates into high demand and rewarding career pathways within technology and beyond.

Best Scientists Citing Nirvana Meratnia

Trending Scientists

Recently Published Articles