World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
5593
World Ranking
8114
National Ranking
5

Péter Kacsuk 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 Péter Kacsuk 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: 396 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Péter Kacsuk 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 Péter Kacsuk 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Péter Kacsuk is affiliated with the MTA SZTAKI Laboratory of Parallel and Distributed Systems in Hungary. Their research primarily focuses on areas within computer science, including information systems, geography, planning and development, management science and operations research, artificial intelligence, and computer vision and pattern recognition.

Their recent publications cover a range of topics related to cloud computing, data management, and machine learning. Notable works include:

  • The Past, Present and Future of the ELKH Cloud (2022, Információs Társadalom)
  • Big data and machine learning framework for clouds and its usage for text classification (2020, Concurrency and Computation Practice and Experience)
  • Cloud-agnostic architectures for machine learning based on Apache Spark (2021, Advances in Engineering Software)
  • Call for Special Issue Papers: Big Data and the Internet-of-Things in Complex Information Systems: Selections from IoTBDS 2022 and COMPLEXIS 2022 (2022, Big Data)
  • Az ELKH Adatrepozitórium Platform infrastrukturális és tervezési megoldásai • Infrastructure and Design Solutions of the ELKH Data Repository Platform (2023, Magyar Tudomány)

The main topics covered in their body of work include Hungarian social, economic, and educational studies, data quality and management, cloud computing and resource management, cloud data security solutions, topic modeling, graph theory and algorithms, and IoT and edge/fog computing.

Frequent co-authors contributing to these publications are:

  • Róbert Lovas
  • Szabolcs Tenczer
  • Ádám Pintér
  • István Pintye
  • Ákos Hajnal

Their scholarly output has appeared repeatedly in certain publication venues, notably:

  • Big Data
  • Információs Társadalom
  • Concurrency and Computation Practice and Experience
  • Advances in Engineering Software
  • Magyar Tudomány

Research subjects also reflect a multidisciplinary approach, extending toward practical and theoretical aspects of cloud computing, data repository design, and the application of machine learning frameworks in distributed systems.

Best Publications

  • Advanced Computer Architectures

    Dezso Sima;Peter Kacsuk

  • Multi-Grid, multi-user workflows in the P-GRADE Grid portal

    Peter K. Kacsuk;Gergely Sipos

  • WS-PGRADE/gUSE Generic DCI Gateway Framework for a Large Variety of User Communities

    Peter Kacsuk;Zoltan Farkas;Miklos Kozlovszky;Gabor Hermann

  • GEMLCA: Running Legacy Code Applications as Grid Services

    Thierry Delaitre;Tamás Kiss;Ariel Goyeneche;Gábor Terstyánszky

  • Multitemperature mapping of dust structures throughout the Galactic Plane using the PPMAP tool with Herschel Hi‐GAL data

    Kenneth Marsh;Anthony Whitworth;Oliver Lomax;Sarah Ragan

  • P-GRADE portal family for grid infrastructures

    Peter Kacsuk

  • A graphical development and debugging environment for parallel programs

    Péter Kacsuk;José C. Cunha;Gábor Dózsa;João Lourenço

  • P-GRADE: a grid programming environment

    Péter Kacsuk;Gábor Dózsa;József Kovács;Róbert Lovas

  • MiCADO -Microservice-based Cloud Application-level Dynamic Orchestrator

    Tamas Kiss;Peter Kacsuk;Jozsef Kovacs;Botond Rakoczi

  • Interoperation of world-wide production e-Science infrastructures

    M. Riedel;E. Laure;Th. Soddemann;L. Field

  • An approach for virtual appliance distribution for service deployment

    Gabor Kecskemeti;Gabor Terstyanszky;Peter Kacsuk;Zsolt Neméth

  • Designing parallel programs by the graphical language GRAPNEL

    Péter Kacsuk;Gábor Dózsa;Tibor Fadgyas

  • P-GRADE Portal: A generic workflow system to support user communities

    Z. Farkas;P. Kacsuk

  • SZTAKI Desktop Grid (SZDG): A Flexible and Scalable Desktop Grid System

    Peter K. Kacsuk;Jozsef Kovacs;Zoltan Farkas;Attila Csaba Marosi

  • EDGeS: Bridging EGEE to BOINC and XtremWeb

    Etienne Urbah;Peter K. Kacsuk;Zoltan Farkas;Gilles Fedak

  • Solving the grid interoperability problem by P-GRADE portal at workflow level

    Peter Kacsuk;Tamas Kiss;Gergely Sipos

  • High-Level Grid Application Environment to Use Legacy Codes as OGSA Grid Services

    P. Kacsuk;A. Goyeneche;T. Delaitre;T. Kiss

  • Enabling scientific workflow sharing through coarse-grained interoperability

    Gabor Terstyanszky;Tamas Kukla;Tamas Kiss;Peter Kacsuk

  • SZTAKI Desktop Grid: a Modular and Scalable Way of Building Large Computing Grids

    Z. Balaton;G. Gombas;P. Kacsuk;A. Kornafeld

  • Distributed and Parallel Systems: Cluster and Grid Computing

    Peter Kacsuk;Jens Volkert;Zsolt Nemeth;Dieter Kranzlmuller

  • Performance Tools for the Grid: State of the Art and Future

    Michael Gerndt;Roland Wismüller;Zoltán Balaton;Gábor Gombás

  • Performance tools for the Grid. State of the art and future. (Research report series 30)

    M. Gerndt;R. Wismüller;Zoltán Balaton;Gábor Gombás

Frequent Co-Authors

Norbert Podhorszki
Norbert Podhorszki Oak Ridge National Laboratory
Sergio Molinari
Sergio Molinari National Institute for Astrophysics
Thomas Fahringer
Thomas Fahringer University of Innsbruck
Ian Taylor
Ian Taylor University of Notre Dame
Oliver Kohlbacher
Oliver Kohlbacher University of Tübingen
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Radu Prodan
Radu Prodan University of Innsbruck
Malcolm Atkinson
Malcolm Atkinson University of Edinburgh
Thilo Kielmann
Thilo Kielmann Vrije Universiteit Amsterdam
Alberto Noriega-Crespo
Alberto Noriega-Crespo Space Telescope Science Institute

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