World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
13272
World Ranking
9053
National Ranking
11

Marjan Mernik 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 Marjan Mernik 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: 248 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Marjan Mernik 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 Marjan Mernik 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Marjan Mernik is affiliated with the University of Maribor in Slovenia. Their research is primarily situated within the field of Computer Science, contributing to various specialized subfields including Artificial Intelligence, Software, Computational Theory and Mathematics, Computer Science Applications, and Information Systems.

They have contributed extensively to the study and development of algorithms and software engineering techniques. Their main topics of research cover metaheuristic optimization algorithms, evolutionary algorithms and their applications, model-driven software engineering techniques, advanced multi-objective optimization algorithms, software testing and debugging techniques, online learning and analytics, and broader software engineering research.

Marjan Mernik has collaborated frequently with several researchers, including Matej Črepinšek, Miha Ravber, Tomaž Kosar, Shih-Hsi Liu, and Željko Kovačević. These partnerships have contributed to a substantial body of work presented in various scientific venues.

Their publications have appeared predominantly in the journal Mathematics, with twelve papers published there. Other significant publication venues include Applied Sciences, Applied Soft Computing, SSRN Electronic Journal, and Expert Systems with Applications.

Among recent papers authored or co-authored by Marjan Mernik are:

  • Computer Science Education in ChatGPT Era: Experiences from an Experiment in a Programming Course for Novice Programmers, 2024, Mathematics
  • A novel direct measure of exploration and exploitation based on attraction basins, 2020, Expert Systems with Applications
  • Maximum number of generations as a stopping criterion considered harmful, 2022, Applied Soft Computing
  • A Graph Pointer Network-Based Multi-Objective Deep Reinforcement Learning Algorithm for Solving the Traveling Salesman Problem, 2023, Mathematics
  • Determination of a Hysteresis Model Parameters with the Use of Different Evolutionary Methods for an Innovative Hysteresis Model, 2020, Mathematics

Best Publications

  • Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems

    J. Brest;S. Greiner;B. Boskovic;M. Mernik

  • When and how to develop domain-specific languages

    Marjan Mernik;Jan Heering;Anthony M. Sloane

  • Exploration and exploitation in evolutionary algorithms: A survey

    Matej Črepinšek;Shih-Hsi Liu;Marjan Mernik

  • On clarifying misconceptions when comparing variants of the Artificial Bee Colony Algorithm by offering a new implementation

    Marjan Mernik;Shih-Hsi Liu;Dervis Karaboga;Matej Črepinšek

  • Domain-Specific Languages

    Tomaž Kosar;Sudev Bohra;Marjan Mernik

  • A preliminary study on various implementation approaches of domain-specific language

    Toma Kosar;Pablo E. Martınez López;Pablo A. Barrientos;Marjan Mernik

  • Comparing general-purpose and domain-specific languages: An empirical study

    Tomaz Kosar;Nuno Oliveira;Marjan Mernik;Maria João Varanda Pereira

  • Replication and comparison of computational experiments in applied evolutionary computing: Common pitfalls and guidelines to avoid them

    Matej Črepinšek;Shih-Hsi Liu;Marjan Mernik

  • Guest Editors' Introduction: What Kinds of Nails Need a Domain-Specific Hammer?

    J. Sprinkle;M. Mernik;J.-P. Tolvanen;D. Spinellis

  • Program comprehension of domain-specific and general-purpose languages: comparison using a family of experiments

    Tomaž Kosar;Marjan Mernik;Jeffrey C. Carver

  • A chess rating system for evolutionary algorithms: A new method for the comparison and ranking of evolutionary algorithms

    Niki Veček;Marjan Mernik;Matej Črepinšek

  • LISA: An Interactive Environment for Programming Language Development

    Marjan Mernik;Mitja Lenic;Enis Avdicausevic;Viljem Zumer

  • Challenges and Directions in Formalizing the Semantics of Modeling Languages

    Barrett Richard Bryant;Jeffrey G. Gray;Marjan Mernik;Peter Clarke

  • Automatic generation of language-based tools using the LISA system

    Pedro Rangel Henriques;Maria João Varanda Pereira;Marjan Mernik;Mitja Lenic

  • A parameter control method of evolutionary algorithms using exploration and exploitation measures with a practical application for fitting Sovova's mass transfer model

    Shih-Hsi Liu;Marjan Mernik;Dejan HrnčIč;Matej RepinšEk

  • Is a comparison of results meaningful from the inexact replications of computational experiments

    Matej Črepinšek;Shih-Hsi Liu;Luka Mernik;Marjan Mernik

  • Ontology driven development of domain-specific languages

    Ines Ceh;Matej Crepinsek;Tomaz Kosar;Marjan Mernik

  • An educational tool for teaching compiler construction

    M. Mernik;V. Zumer

  • Parameter tuning with Chess Rating System (CRS-Tuning) for meta-heuristic algorithms

    Niki Veček;Marjan Mernik;Bogdan Filipič;Matej źrepinšek

  • Using Ontologies in the Domain Analysis of Domain-Specific Languages

    Robert Tairas;Marjan Mernik;Jeff Gray

  • Formal and Practical Aspects of Domain-Specific Languages: Recent Developments

    Marjan Mernik

  • Domain-Specific Languages: A Systematic Mapping Study

    Marjan Mernik

  • A Exploration and Exploitation in Evolutionary Algorithms: A Survey

    Matej Črepinšek;Shih-Hsi Liu;Marjan Mernik

Frequent Co-Authors

Jeff Gray
Jeff Gray University of Alabama
Iztok Fister
Iztok Fister University of Maribor
Janez Brest
Janez Brest University of Maribor
Jeffrey C. Carver
Jeffrey C. Carver University of Alabama
Tim Menzies
Tim Menzies North Carolina State University
Bernhard Rumpe
Bernhard Rumpe RWTH Aachen University
Ragib Hasan
Ragib Hasan University of Alabama at Birmingham
Charles Consel
Charles Consel Institut Polytechnique de Bordeaux
Gabor Karsai
Gabor Karsai Vanderbilt University
Matti Rossi
Matti Rossi Aalto University

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