World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7541
World Ranking
8373
National Ranking
18

Maria E. Orlowska 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 Maria E. Orlowska 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: 215 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.

Maria E. Orlowska 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 Maria E. Orlowska 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2003 - Fellow of the Australian Academy of Science

Overview

Maria E. Orlowska is affiliated with the Polish-Japanese Institute of Information Technology in Poland. Their research primarily spans the field of Computer Science, with a focus on Artificial Intelligence, Signal Processing, General Health Professions, Computer Networks and Communications, and Computer Vision and Pattern Recognition.

Their work covers multiple core topics including Data Management and Algorithms, Privacy-Preserving Technologies in Data, Cryptography and Data Security, Distributed Systems and Fault Tolerance, Graph Theory and Algorithms, Complex Network Analysis Techniques, and Automated Road and Building Extraction.

Recent publications by Maria E. Orlowska include:

  • "MDDE: multitasking distributed differential evolution for privacy-preserving database fragmentation," 2022, The VLDB Journal
  • "A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing," 2022, IEEE Transactions on Knowledge and Data Engineering
  • "Efficient bi-triangle counting for large bipartite networks," 2021, Proceedings of the VLDB Endowment
  • "Knowledge transfer-based distributed differential evolution for dynamic database fragmentation," 2021, Knowledge-Based Systems
  • "Trajectory-Based Spatiotemporal Entity Linking," 2022, Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)"

Their research has been disseminated in several publication venues. The most frequent venues include:

  • Swinburne Research Bank (Swinburne University of Technology)
  • IEEE Transactions on Knowledge and Data Engineering
  • The VLDB Journal
  • Proceedings of the VLDB Endowment
  • Knowledge-Based Systems

Maria E. Orlowska has collaborated with several frequent co-authors during their research career. These include:

  • Xiaofang Zhou
  • Chengfei Liu
  • Fengmei Jin
  • Wen Hua
  • Matteo Francia

Among their distinctions, Maria E. Orlowska was awarded the Fellow of the Australian Academy of Science in 2003.

Best Publications

  • Analyzing process models using graph reduction techniques

    Wasim Sadiq;Maria E. Orlowska

  • Data flow and validation in workflow modelling

    Shazia Sadiq;Maria Orlowska;Wasim Sadiq;Cameron Foulger

  • RFID Data Management: Challenges and Opportunities

    R. Derakhshan;M.E. Orlowska;Xue Li

  • Specification and validation of process constraints for flexible workflows

    Shazia W. Sadiq;Maria E. Orlowska;Wasim Sadiq

  • Pockets of Flexibility in Workflow Specification

    Shazia W. Sadiq;Wasim Sadiq;Maria E. Orlowska

  • Facilitating cross-organisational workflows with a workflow view approach

    Karsten A. Schulz;Maria E. Orlowska

  • Flexible workflow management

    Shazia Sadiq;Wasim Sadiq;Maria E. Orlowska

  • Managing change and time in dynamic workflow processes

    Shazia W. Sadiq;Olivera Marjanovic;Maria E. Orlowska

  • On the Optimal Robot Routing Problem in Wireless Sensor Networks

    Bo Yuan;M. Orlowska;S. Sadiq

  • On Modeling and Verification of Temporal Constraints in Production Workflows

    Oliveria Marjanovic;Maria E. Orlowska

  • Applying Graph Reduction Techniques for Identifying Structural Conflicts in Process Models

    Wasim Sadiq;Maria E. Orlowska

  • Web Technologies and Applications

    X. Zhou;Y. Zhang;M. E. Orlowska

  • Verification problems in conceptual workflow specifications

    A. H. M. ter Hofstede;M. E. Orlowska;J. Rajapakse

  • SQLator: an online SQL learning workbench

    Shazia Sadiq;Maria Orlowska;Wasim Sadiq;Joe Lin

  • Workflow management architecture

    Karsten Schulz;Maria E. Orlowska

  • Transformations between private and shared workflows

    Karsten Schulz;Maria E. Orlowska

  • On Correctness Issues in Conceptual Modelling of Workflows.

    Wasim Sadiq;Maria E. Orlowska

  • On Capturing Exceptions in Workflow Process Models

    Shazia W. Sadiq;Maria E. Orlowska

  • Using Workflow Technology to Manage Flexible e-Learning Services

    Joe Y.-C. Lin;Charley Ho;Wasim Sadiq;Maria E. Orlowska

  • Verification Problems in Conceptual Workflow Specifications

    Arthur H. M. ter Hofstede;Maria E. Orlowska;Jayantha Rajapakse

  • Proceedings of the 25th International Conference on Very Large Data Bases

    Malcolm P. Atkinson;Maria E. Orlowska;Patrick Valduriez;Stanley B. Zdonik

Frequent Co-Authors

Shazia Sadiq
Shazia Sadiq University of Queensland
Xiaofang Zhou
Xiaofang Zhou Hong Kong University of Science and Technology
Xue Li
Xue Li University of Queensland
Yanchun Zhang
Yanchun Zhang Victoria University
Xuemin Lin
Xuemin Lin Shanghai Jiao Tong University
Mike P. Papazoglou
Mike P. Papazoglou Tilburg University
Weifa Liang
Weifa Liang City University of Hong Kong
John Mylopoulos
John Mylopoulos University of Ottawa
John F. Roddick
John F. Roddick Flinders University
Tiziana Catarci
Tiziana Catarci Sapienza University of Rome

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