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Artem Polyvyanyy 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 Artem Polyvyanyy 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+

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

Artem Polyvyanyy 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 Artem Polyvyanyy 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+

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

Overview

Artem Polyvyanyy is affiliated with the University of Melbourne in Australia and has contributed extensively to the fields of Computer Science and Business, Management and Accounting. Their research spans multiple subfields including Management Information Systems, Information Systems, Industrial and Manufacturing Engineering, Artificial Intelligence, and Management Science and Operations Research.

The main topics addressed in their work cover a broad range of areas such as Business Process Modeling and Analysis, Service-Oriented Architecture and Web Services, Semantic Web and Ontologies, Data Quality and Management, Big Data and Business Intelligence, Software System Performance and Reliability, and Manufacturing Process and Optimization.

Polyvyanyy has authored numerous research papers, some of the recent publications include:

  • "Robotic Process Mining: Vision and Challenges" (2020) published in Business & Information Systems Engineering
  • "Stochastic process mining: Earth movers' stochastic conformance" (2021) published in Information Systems
  • "Monotone Precision and Recall Measures for Comparing Executions and Specifications of Dynamic Systems" (2020) published in ACM Transactions on Software Engineering and Methodology
  • "Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs" (2021) published in Minerva Access (University of Melbourne)
  • "Large Process Models: A Vision for Business Process Management in the Age of Generative AI" (2024) published in KI - Künstliche Intelligenz

The scientist frequently collaborates with co-authors including Marcello La Rosa, Anna Kalenkova, Marlon Dumas, Sander J. J. Leemans, and Alistair Moffat, with the number of joint works ranging from 10 to 19 publications per collaborator.

Their research has appeared in various publication venues with a notable number of papers published in arXiv (Cornell University), Information Systems, IEEE Access, KI - Künstliche Intelligenz, and Zenodo (CERN European Organization for Nuclear Research).

In addition to journal articles, Artem Polyvyanyy has contributed to book publications, notably through Springer Science+Business Media with the work titled "Business Process Management Forum" published in 2021.

Best Publications

  • Split miner: automated discovery of accurate and simple business process models from event logs

    Adriano Augusto;Adriano Augusto;Raffaele Conforti;Marlon Dumas;Marcello La Rosa

  • Process compliance analysis based on behavioural profiles

    Matthias Weidlich;Artem Polyvyanyy;Nirmit Desai;Jan Mendling

  • Simplified computation and generalization of the refined process structure tree

    Artem Polyvyanyy;Jussi Vanhatalo;Hagen Völzer

  • Supporting Process Model Validation through Natural Language Generation

    Henrik Leopold;Jan Mendling;Artem Polyvyanyy

  • Semantic Querying of Business Process Models

    A. Awad;A. Polyvyanyy;M. Weske

  • Robotic Process Mining: Vision and Challenges

    Volodymyr Leno;Artem Polyvyanyy;Marlon Dumas;Marcello La Rosa

  • Process querying: Enabling business intelligence through query-based process analytics

    Artem Polyvyanyy;Chun Ouyang;Alistair Barros;Wil M.P. van der Aalst;Wil M.P. van der Aalst

  • Process Model Abstraction: A Slider Approach

    A. Polyvyanyy;S. Smirnov;M. Weske

  • The Triconnected Abstraction of Process Models

    Artem Polyvyanyy;Sergey Smirnov;Mathias Weske

  • Generating natural language texts from business process models

    Henrik Leopold;Jan Mendling;Artem Polyvyanyy

  • Business Process Model Abstraction

    Artem Polyvyanyy;Sergey Smirnov;Mathias Weske

  • Causal Behavioural Profiles - Efficient Computation, Applications, and Evaluation

    Matthias Weidlich;Artem Polyvyanyy;Jan Mendling;Mathias Weske

  • Impact-Driven Process Model Repair

    Artem Polyvyanyy;Wil M. P. Van Der Aalst;Arthur H. M. Ter Hofstede;Moe T. Wynn

  • Aggregate quality of service computation for composite services

    Marlon Dumas;Luciano García-Bañuelos;Artem Polyvyanyy;Yong Yang

  • The 4C spectrum of fundamental behavioral relations for concurrent systems

    Artem Polyvyanyy;Matthias Weidlich;Raffaele Conforti;Marcello La Rosa;Marcello La Rosa

  • Maximal structuring of acyclic process models

    Artem Polyvyanyy;Luciano García-Bañuelos;Dirk Fahland;Mathias Weske

  • Efficient computation of causal behavioural profiles using structural decomposition

    Matthias Weidlich;Artem Polyvyanyy;Jan Mendling;Mathias Weske

  • Stochastic process mining: Earth movers’ stochastic conformance

    Sander J.J. Leemans;Wil M.P. van der Aalst;Tobias Brockhoff;Artem Polyvyanyy

  • Monotone Precision and Recall Measures for Comparing Executions and Specifications of Dynamic Systems

    Artem Polyvyanyy;Andreas Solti;Matthias Weidlich;Claudio Di Ciccio

  • Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs

    A Augusto;R Conforti;M Dumas;M La Rosa

Frequent Co-Authors

Mathias Weske
Mathias Weske Hasso Plattner Institute
Marcello La Rosa
Marcello La Rosa University of Melbourne
Jan Mendling
Jan Mendling Humboldt-Universität zu Berlin
Marlon Dumas
Marlon Dumas University of Tartu
Matthias Weidlich
Matthias Weidlich Humboldt-Universität zu Berlin
Alistair Barros
Alistair Barros Queensland University of Technology
Arthur H. M. ter Hofstede
Arthur H. M. ter Hofstede Queensland University of Technology
Claudio Di Ciccio
Claudio Di Ciccio Utrecht University
Fabrizio Maria Maggi
Fabrizio Maria Maggi Free University of Bozen-Bolzano
Wil M. P. van der Aalst
Wil M. P. van der Aalst RWTH Aachen University

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