World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
19464
World Ranking
2303
National Ranking
131

Simon Parsons 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 Simon Parsons 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: 488 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Simon Parsons 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 Simon Parsons 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: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Overview

Simon Parsons is affiliated with the University of Lincoln in the United Kingdom. Their research spans computer science and agricultural and biological sciences, with a significant focus on artificial intelligence and applications in plant science.

Their recent publications cover diverse topics related to robotics, machine learning, and decision-making within both agriculture and medical domains. Notable papers include:

  • Towards autonomous selective harvesting: A review of robot perception, robot design, motion planning and control (2023), Journal of Field Robotics
  • Beyond mAP: Towards practical object detection for weed spraying in precision agriculture (2022), 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Combined Free-Energy Calculation and Machine Learning Methods for Understanding Ligand Unbinding Kinetics (2022), Journal of Chemical Theory and Computation
  • Applying Metalevel Argumentation Frameworks to Support Medical Decision Making (2021), IEEE Intelligent Systems
  • Deep Regression Versus Detection for Counting in Robotic Phenotyping (2021), IEEE Robotics and Automation Letters

Frequent co-authors collaborating with Parsons include:

  • Elizabeth Sklar
  • Isabel Sassoon
  • Madeleine Darbyshire
  • Nadin Kökciyan
  • Federico Castagna

Parsons has published extensively in various venues. Some of the primary publication outlets are:

  • arXiv (Cornell University)
  • Journal of robotics & autonomous systems
  • Journal of Field Robotics
  • Computers and Electronics in Agriculture
  • Journal of Artificial Intelligence Research

Their work mainly addresses the following fields of study:

  • Computer Science
  • Agricultural and Biological Sciences

Within these fields, Parsons has contributed to several subfields, including:

  • Artificial Intelligence
  • Plant Science
  • Control and Systems Engineering
  • Materials Chemistry
  • Computational Theory and Mathematics

The main research topics covered by Parsons focus on:

  • Smart Agriculture and AI
  • Multi-Agent Systems and Negotiation
  • Topic Modeling
  • Logic, Reasoning, and Knowledge
  • Plant Disease Management Techniques
  • Date Palm Research Studies
  • Robot Manipulation and Learning

Best Publications

  • Automated Negotiation: Prospects, Methods and Challenges

    N. R. Jennings;P. Faratin;A. R. Lomuscio;S. Parsons

  • Agents that Reason and Negotiate by Arguing

    Simon Parsons;Carles Sierra;Nicholas R. Jennings

  • Principles of Data Mining by David J. Hand, Heikki Mannila and Padhraic Smyth, MIT Press, 546 pp., £34.50, ISBN 0-262-08290-X

    Simon Parsons

  • Argumentation-based negotiation

    Iyad Rahwan;Sarvapali D. Ramchurn;Nicholas R. Jennings;Peter Mcburney

  • Principles of Robot Motion: Theory, Algorithms and Implementations by Howie Choset, Kevin M. Lynch, Seth Hutchinson, George Kantor, Wolfram Burgard, Lydia E. Kavraki and Sebastian Thrun, 603 pp., $60.00, ISBN 0-262-033275

    Simon Parsons

  • A Framework for Argumentation-Based Negotiation

    Carles Sierra;Nicholas R. Jennings;Pablo Noriega;Simon Parsons

  • Modelling dialogues using argumentation

    L. Amgoud;N. Maudet;S. Parsons

  • Current approaches to handling imperfect information in data and knowledge bases

    S. Parsons

  • Weighted argument systems: Basic definitions, algorithms, and complexity results

    Paul E. Dunne;Anthony Hunter;Peter McBurney;Simon Parsons

  • Games That Agents Play: A Formal Framework for Dialogues between Autonomous Agents

    Peter McBurney;Simon Parsons

  • Game Theory and Decision Theory in Multi-Agent Systems

    Simon Parsons;Michael Wooldridge

  • Neogotiation Through Argumentation - A Preliminary Report

    Simon Parsons;N. R. Jennings

  • Arguments, dialogue, and negotiation

    Leila Amgoud;Simon Parsons;Nicolas Maudet

  • Properties and Complexity of Some Formal Inter-agent Dialogues

    Simon Parsons;Michael J. Wooldridge;Leila Amgoud

  • Soft computing: fuzzy logic, neural networks and distributed artificial intelligence by F. Aminzadeh and M. Jamshidi (Eds.), PTR Prentice Hall, Englewood Cliffs, NJ, pp 301, ISBN 0-13-146234-2.

    Simon Parsons

  • Auctions and bidding: A guide for computer scientists

    Simon Parsons;Juan A. Rodriguez-Aguilar;Mark Klein

  • Qualitative Methods for Reasoning under Uncertainty

    Simon Parsons

  • A Dialogue Game Protocol for Agent Purchase Negotiations

    Peter Mcburney;Rogier M. Van Eijk;Simon Parsons;Leila Amgoud

  • Model checking multi-agent systems with MABLE

    Michael Wooldridge;Michael Fisher;Marc-Philippe Huget;Simon Parsons

  • AAAI-2002 fall symposium series

    Yukio Ohsawa;Peter McBurney;Simon Parsons;Christopher A. Miller

  • Uncertainty in artificial intelligence

    Simon Parsons

  • Addendum to Current Approaches to Handling Imperfect Information in Data and Knowledge Bases

    Simon Parsons

Frequent Co-Authors

Peter McBurney
Peter McBurney King's College London
Michael Wooldridge
Michael Wooldridge University of Oxford
Iyad Rahwan
Iyad Rahwan Max Planck Institute for Human Development
Timothy J. Norman
Timothy J. Norman University of Southampton
Sanjay Modgil
Sanjay Modgil King's College London
Nicholas R. Jennings
Nicholas R. Jennings Loughborough University
Carles Sierra
Carles Sierra Spanish National Research Council
Anthony Hunter
Anthony Hunter University College London
Karl Tuyls
Karl Tuyls DeepMind (United Kingdom)
Leila Amgoud
Leila Amgoud Centre national de la recherche scientifique, CNRS

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 range of online degrees and professional opportunities. For those interested in technology’s broader applications, check out the online electrical engineering degree ranking to find top programs you can complete remotely.

If you’re eager to boost your credentials quickly, consider pursuing certifications for jobs that are both easy to obtain and highly valued by employers. These certifications can offer an affordable, fast track into well-paying tech roles without the commitment of a full degree.

Many professionals may want to accelerate their learning. Explore shortest master degree programs to discover graduate options that fit busy schedules yet still deliver strong academic and career benefits.

Finally, to maximize your long-term prospects, review the most in demand masters degrees. These programs align with growing industries and can help ensure your skills remain relevant in today’s dynamic job market.

Best Scientists Citing Simon Parsons

Trending Scientists

Recently Published Articles