World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6051
World Ranking
10729
National Ranking
194

Peter A. N. Bosman 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 Peter A. N. Bosman 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: 228 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Peter A. N. Bosman 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 Peter A. N. Bosman 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

Peter A. N. Bosman is affiliated with the Centrum Wiskunde & Informatica in the Netherlands. Their research primarily focuses on the field of Computer Science, with 192 publications documented in this area.

Their work spans several subfields, notably:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Pulmonary and Respiratory Medicine
  • Radiology, Nuclear Medicine and Imaging

The main topics of their research include:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications
  • Advanced Radiotherapy Techniques
  • Machine Learning and Data Classification
  • Prostate Cancer Diagnosis and Treatment
  • Advanced Neural Network Applications

Peter A. N. Bosman has published extensively in various venues, among which the most frequent are:

  • arXiv (Cornell University)
  • Radiotherapy and Oncology
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • Brachytherapy

Recent publications illustrate the range and depth of their contributions:

  • "Interactive Education on Sleep Hygiene with a Social Robot at a Pediatric Oncology Outpatient Clinic: Feasibility, Experiences, and Preliminary Effectiveness", 2022, published in Cancers
  • "Local Search is a Remarkably Strong Baseline for Neural Architecture Search", 2021, published in Lecture notes in computer science
  • "A Novel Approach to Designing Surrogate-assisted Genetic Algorithms by Combining Efficient Learning of Walsh Coefficients and Dependencies", 2021, published in ACM Transactions on Evolutionary Learning and Optimization
  • "Achieving Highly Scalable Evolutionary Real-Valued Optimization by Exploiting Partial Evaluations", 2020, published in Evolutionary Computation
  • "Machine learning for the prediction of pseudorealistic pediatric abdominal phantoms for radiation dose reconstruction", 2020, published in Journal of Medical Imaging

The scientist collaborates regularly with several co-authors, including:

  • Tanja Alderliesten
  • Arkadiy Dushatskiy
  • Marco Virgolin
  • Anton Bouter
  • Bradley R. Pieters

Best Publications

  • The balance between proximity and diversity in multiobjective evolutionary algorithms

    P.A.N. Bosman;D. Thierens

  • Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The IDEA

    Peter A. N. Bosman;Dirk Thierens

  • Improving Model-Based Genetic Programming for Symbolic Regression of Small Expressions.

    Marco Virgolin;Tanja Alderliesten;Cees Witteveen;Peter A. N. Bosman

  • Optimal mixing evolutionary algorithms

    Dirk Thierens;Peter A.N. Bosman

  • Continuous iterated density estimation evolutionary algorithms within the IDEA framework

    P.A.N. Bosman;D. Thierens

  • On Gradients and Hybrid Evolutionary Algorithms for Real-Valued Multiobjective Optimization

    P. A. N. Bosman

  • Multi-objective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms

    Peter A.N. Bosman;Dirk Thierens

  • Linkage information processing in distribution estimation algorithms

    Peter A. N. Bosman;Dirk Thierens

  • Exploiting gradient information in numerical multi--objective evolutionary optimization

    Peter A. N. Bosman;Edwin D. de Jong

  • Learning, anticipation and time-deception in evolutionary online dynamic optimization

    Peter A. N. Bosman

  • Proceedings of the Genetic and Evolutionary Computation Conference - GECCO - 2006

    M. Keijzer;H. Lipson;P.A.N. Bosman;not Cwi

  • Multi-objective optimization of wind farm layouts – Complexity, constraint handling and scalability

    S.F. Rodrigues;Pavol Bauer;Peter Bosman

  • The correlation-triggered adaptive variance scaling IDEA

    Jörn Grahl;Peter A.N. Bosman;Franz Rothlauf

  • Design and Application of iterated Density-Estimation Evolutionary Algorithms

    P.A.N. Bosman

  • Enhancing the Performance of Maximum---Likelihood Gaussian EDAs Using Anticipated Mean Shift

    Peter A. Bosman;Jörn Grahl;Dirk Thierens

  • Hierarchical problem solving with the linkage tree genetic algorithm

    Dirk Thierens;Peter A.N. Bosman

  • The naive MIDEA: a baseline multi-objective EA

    Peter A. N. Bosman;Dirk Thierens

  • Multi-objective mixture-based iterated density estimation evolutionary algorithms

    Dirk Thierens;Peter A. N. Bosman

  • Agent-based patient admission scheduling in hospitals

    Anke K. Hutzschenreuter;Peter A. N. Bosman;Ilona Blonk-Altena;Jan van Aarle

  • An algorithmic framework for density estimation based evolutionary algorithms

    P.A.N. Bosman;D. Thierens

  • Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case

    Peter A. N. Bosman;Han La Poutré

Frequent Co-Authors

Dirk Thierens
Dirk Thierens Utrecht University
Marcel van Herk
Marcel van Herk University of Manchester
Pavol Bauer
Pavol Bauer Delft University of Technology
Ann Nowé
Ann Nowé Vrije Universiteit Brussel
Martine De Cock
Martine De Cock University of Washington
Stefan Minner
Stefan Minner Technical University of Munich
Wiro J. Niessen
Wiro J. Niessen University Medical Center Groningen
Samee U. Khan
Samee U. Khan Mississippi State University
Pascal Bouvry
Pascal Bouvry University of Luxembourg
Bernabé Dorronsoro
Bernabé Dorronsoro University of Cádiz

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to a wide spectrum of online degrees and career options. Whether you’re just starting out or aiming to upskill quickly, there are flexible routes to fit your career goals.

For those seeking a streamlined entry into the workforce, short certificate programs that pay well can help you gain specialized knowledge fast. If you’re interested in a college credential but need an affordable, quicker pathway, consider online associates programs in IT or related fields.

Ready to advance your expertise for leadership or technical roles? Explore the shortest masters degree programs online and complete a master’s in as little as one year. When deciding, you may wish to review the what masters program should i do list for insights into in-demand, valuable specializations.

Online learning offers flexibility for working professionals, recent graduates, or anyone changing careers. Carefully compare your options and choose a pathway that aligns with your interests, career ambitions, and timeline.

Best Scientists Citing Peter A. N. Bosman

Trending Scientists

Recently Published Articles