World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5263
World Ranking
10842
National Ranking
21

Joanna Kolodziej 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 Joanna Kolodziej 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: 161 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Joanna Kolodziej 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 Joanna Kolodziej 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Joanna Kolodziej is affiliated with the NASK National Research Institute in Poland. Their research primarily spans computer science and engineering, with a strong focus on information systems and computer networks and communications. Other subfields include electrical and electronic engineering, artificial intelligence, and industrial and manufacturing engineering.

Their work covers several main topics in computing including IoT and edge/fog computing, cloud computing and resource management, blockchain technology applications and security, network security and intrusion detection, vehicular ad hoc networks (VANETs), anomaly detection techniques and applications, and cloud data security solutions.

Frequent collaborators in their research include Piotr Nawrocki, Bartłomiej Śnieżyński, Matteo Repetto, Armend Duzha, and Paweł Szynkiewicz. These coauthors have contributed to multiple publications alongside Kolodziej.

Recent papers authored or coauthored by Joanna Kolodziej include:

  • "Modeling adaptive security-aware task allocation in mobile cloud computing" (2022) published in Simulation Modelling Practice and Theory
  • "Adaptive context-aware service optimization in mobile cloud computing accounting for security aspects" (2020) published in Concurrency and Computation Practice and Experience
  • "ERF-XGB: An Edge-IoT-Based Explainable Model for Predictive Maintenance" (2024) published in IEEE Transactions on Consumer Electronics
  • "Secure mobile cloud computing" (2021) published in Concurrency and Computation Practice and Experience
  • "A cybersecurity framework to guarantee reliability and trust for digital service chains - GUARD" (2022) presented at the 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)

Joanna Kolodziej has published in several venues more than once, including:

  • Concurrency and Computation Practice and Experience
  • Zenodo (CERN European Organization for Nuclear Research)

Their book publications include:

  • "Cybersecurity of Digital Service Chains" (2022), published by Springer Science+Business Media
  • "Panorama miasta historycznego: Krakowski poligon doświadczeń" (2025), published by Ksiegarnia Akademicka Publishing eBooks

Best Publications

  • A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems

    Abdul Hameed;Alireza Khoshkbarforoushha;Rajiv Ranjan;Prem Prakash Jayaraman

  • An overview of energy efficiency techniques in cluster computing systems

    Giorgio Luigi Valentini;Walter Lassonde;Samee Ullah Khan;Nasro Min-Allah

  • Energy-aware parallel task scheduling in a cluster

    Lizhe Wang;Lizhe Wang;Samee U. Khan;Dan Chen;Joanna KołOdziej

  • Resource-aware hybrid scheduling algorithm in heterogeneous distributed computing

    Mihaela-Andreea Vasile;Florin Pop;Radu-Ioan Tutueanu;Valentin Cristea

  • A survey on resource allocation in high performance distributed computing systems

    Hameed Hussain;Saif Ur Rehman Malik;Abdul Hameed;Samee Ullah Khan

  • Parallel Problem Solving from Nature - PPSN XI

    Robert Schaefer;Carlos Cotta;Joanna Kołodziej;Günter Rudolph

  • A security framework in G-Hadoop for big data computing across distributed Cloud data centres

    Jiaqi Zhao;Lizhe Wang;Jie Tao;Jinjun Chen

  • A survey on text mining in social networks

    Rizwana Irfan;Christine K. King;Daniel Grages;Sam J. Ewen

  • Survey on blind image forgery detection

    Tanzeela Qazi;Khizar Hayat;Samee U. Khan;Sajjad A. Madani

  • Benchmarking OpenCL, OpenACC, OpenMP, and CUDA: Programming Productivity, Performance, and Energy Consumption

    Suejb Memeti;Lu Li;Sabri Pllana;Joanna Kołodziej

  • Using a multi-agent system and artificial intelligence for monitoring and improving the cloud performance and security

    Daniel Grzonka;Agnieszka Jakóbik;Joanna Kołodziej;Sabri Pllana

  • Comparative study of trust and reputation systems for wireless sensor networks

    Osman Khalid;Samee Ullah Khan;Sajjad Ahmad Madani;Khizar Hayat

  • Genetic Algorithms for Energy-Aware Scheduling in Computational Grids

    Joanna Kolodziej;Samee Ullah Khan;Fatos Xhafa

  • Particle Swarm Optimization based dictionary learning for remote sensing big data

    Lizhe Wang;Hao Geng;Peng Liu;Ke Lu

  • Energy efficient genetic-based schedulers in computational grids

    Joanna Kołodziej;Samee Ullah Khan;Lizhe Wang;Albert Y. Zomaya

  • Multi-level hierarchic genetic-based scheduling of independent jobs in dynamic heterogeneous grid environment

    Joanna KołOdziej;Samee Ullah Khan

  • A survey on Green communications using Adaptive Link Rate

    Kashif Bilal;Samee U. Khan;Sajjad A. Madani;Khizar Hayat

  • Genetic Search Reinforced by the Population Hierarchy.

    Robert Schaefer;Joanna Kolodziej

  • Big data (lost) in the cloud

    Beniamino Di Martino;Rocco Aversa;Giuseppina Cretella;Antonio Esposito

  • Security, energy, and performance-aware resource allocation mechanisms for computational grids

    Joanna Kołodziej;Samee Ullah Khan;Lizhe Wang;Marek Kisiel-Dorohinicki

  • Modelling and simulation of security-aware task scheduling in cloud computing based on Blockchain technology

    Andrzej Wilczyński;Joanna Kołodziej

Frequent Co-Authors

Samee U. Khan
Samee U. Khan Mississippi State University
Lizhe Wang
Lizhe Wang China University of Geosciences
Fatos Xhafa
Fatos Xhafa Universitat Politècnica de Catalunya
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Dan Chen
Dan Chen Wuhan University
Sajjad Ahmad Madani
Sajjad Ahmad Madani COMSATS University Islamabad
Rajiv Ranjan
Rajiv Ranjan Newcastle University
Leonard Barolli
Leonard Barolli Fukuoka Institute of Technology
Cheng-Zhong Xu
Cheng-Zhong Xu University of Macau
Sherali Zeadally
Sherali Zeadally University of Kentucky

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