World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
10596
World Ranking
5328
National Ranking
39

Radu Prodan 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 Radu Prodan 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 281 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Radu Prodan 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 Radu Prodan sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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

Radu Prodan is affiliated with the University of Klagenfurt in Austria. Their research spans a broad area within computer science, with a total of 163 publications predominantly in subfields such as Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence, and Electrical and Electronic Engineering.

Their work covers diverse topics, notably in Cloud Computing and Resource Management, IoT and Edge/Fog Computing, Blockchain Technology Applications and Security, Distributed and Parallel Computing Systems, Caching and Content Delivery, Advanced Data Storage Technologies, and Image and Video Quality Assessment.

Radu Prodan has frequently published in multiple venues including arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), IEEE Transactions on Intelligent Vehicles, Computer, and IEEE Internet Computing.

Collaboration is an important aspect of their research activity, with frequent co-authors including Dragi Kimovski, Dumitru Roman, Nishant Saurabh, Narges Mehran, and Ahmet Soylu.

Recent papers authored by or involving Radu Prodan include:

  • WELFake: Word Embedding Over Linguistic Features for Fake News Detection, 2021, IEEE Transactions on Computational Social Systems
  • Cloud, Fog, or Edge: Where to Compute?, 2021, IEEE Internet Computing
  • XCOVNet: Chest X-ray Image Classification for COVID-19 Early Detection Using Convolutional Neural Networks, 2021, New Generation Computing
  • Automated bank cheque verification using image processing and deep learning methods, 2020, Multimedia Tools and Applications
  • MCred: multi-modal message credibility for fake news detection using BERT and CNN, 2022, Journal of Ambient Intelligence and Humanized Computing

Best Publications

  • Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing

    A Iosup;S Ostermann;M N Yigitbasi;R Prodan

  • A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing

    Simon Ostermann;Alexandria Iosup;Nezih Yigitbasi;Radu Prodan

  • Scheduling of scientific workflows in the ASKALON grid environment

    Marek Wieczorek;Radu Prodan;Thomas Fahringer

  • ASKALON: a tool set for cluster and Grid computing

    Thomas Fahringer;Alexandru Jugravu;Sabri Pllana;Radu Prodan

  • A survey and taxonomy of infrastructure as a service and web hosting cloud providers

    Radu Prodan;Simon Ostermann

  • ASKALON: A Grid Application Development and Computing Environment

    T. Fahringer;R. Prodan;Rubing Duan;F. Nerieri

  • WELFake: Word Embedding Over Linguistic Features for Fake News Detection

    Pawan Kumar Verma;Prateek Agrawal;Ivone Amorim;Radu Prodan

  • A Serverless Real-Time Data Analytics Platform for Edge Computing

    Stefan Nastic;Thomas Rausch;Ognjen Scekic;Schahram Dustdar

  • A Multi-objective Approach for Workflow Scheduling in Heterogeneous Environments

    Hamid Mohammadi Fard;Radu Prodan;Juan Jose Durillo Barrionuevo;Thomas Fahringer

  • ASKALON: A Development and Grid Computing Environment for Scientific Workflows

    Thomas Fahringer;Radu Prodan;Rubing Duan;Jüurgen Hofer

  • Multi-objective workflow scheduling in Amazon EC2

    Juan J. Durillo;Radu Prodan

  • Towards a general model of the multi-criteria workflow scheduling on the grid

    Marek Wieczorek;Andreas Hoheisel;Radu Prodan

  • A Truthful Dynamic Workflow Scheduling Mechanism for Commercial Multicloud Environments

    Hamid Mohammadi Fard;Radu Prodan;Thomas Fahringer

  • GroudSim: an event-based simulation framework for computational grids and clouds

    Simon Ostermann;Kassian Plankensteiner;Radu Prodan;Thomas Fahringer

  • Multi-Objective Game Theoretic Schedulingof Bag-of-Tasks Workflows on Hybrid Clouds

    Rubing Duan;Radu Prodan;Xiaorong Li

  • Multi-objective energy-efficient workflow scheduling using list-based heuristics

    Juan José Durillo;Vlad Nae;Radu Prodan

  • Dynamic Resource Provisioning in Massively Multiplayer Online Games

    V Nae;A Iosup;R Prodan

  • Dynamic scheduling of scientific workflow applications on the grid: a case study

    Radu Prodan;Thomas Fahringer

  • ASKALON: a tool set for cluster and Grid computing: Research Articles

    Thomas Fahringer;Alexandru Jugravu;Sabri Pllana;Radu Prodan

  • MOHEFT: A multi-objective list-based method for workflow scheduling

    Juan J. Durillo;Hamid Mohammadi Fard;Radu Prodan

  • An Early Performance Analysis of Cloud Computing Services for Scientific Computing

    Simon Ostermann;Alexandru Iosup;Nezih Yigitbasi;Radu Prodan

Frequent Co-Authors

Thomas Fahringer
Thomas Fahringer University of Innsbruck
Alexandru Iosup
Alexandru Iosup Vrije Universiteit Amsterdam
Juan J. Durillo
Juan J. Durillo Leibniz Supercomputing Centre
Dick Epema
Dick Epema Delft University of Technology
Hong-Linh Truong
Hong-Linh Truong Aalto University
Péter Kacsuk
Péter Kacsuk MTA SZTAKI Laboratory of Parallel and Distributed Systems
Christian Timmerer
Christian Timmerer University of Klagenfurt
Leonel Sousa
Leonel Sousa Instituto Superior Técnico
Gagangeet Singh Aujla
Gagangeet Singh Aujla Durham University
Mohammad S. Obaidat
Mohammad S. Obaidat University of Jordan

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

As you explore studying Computer Science in the USA, it’s important to consider the wide range of online educational options and career pathways available. For those looking to quickly enter the workforce, fast degrees online offer accelerated programs that prepare graduates for high-demand tech roles in a shorter time frame.

If you're drawn to the growing field of AI, enrolling in an ai degree online can open doors to careers in machine learning, data science, and automation. These programs are designed to be flexible and affordable, making advanced technology education more accessible than ever.

Deciding which program in college aligns with your interests and goals is crucial for long-term success. Computer Science, as well as related majors, provide a strong foundation for a variety of technology-driven industries.

For those seeking advanced credentials but a manageable workload, consider the easiest online master's degree options. These programs can enhance your expertise and job prospects without overwhelming your schedule, making them ideal for working professionals aiming for career growth.

Best Scientists Citing Radu Prodan

Trending Scientists

Recently Published Articles