World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

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

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
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
Nicolas Maudet
Nicolas Maudet Sorbonne University

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