Mark Roberts

665 citations
38 papers · 417 · h-index 11

Impact in

Papers in

    • AI-based Problem Solving and Planning 17
    • Logic, Reasoning, and Knowledge 10
    • Advanced Software Engineering Methodologies 2
    • Semantic Web and Ontologies 2
    • Multi-Agent Systems and Negotiation 2
    • Constraint Satisfaction and Optimization 4
    • Optimization and Search Problems 3

Mark Roberts

34 papers receiving 393 citations

Peers

Mark Roberts
Comparison fields: 5 of 84
  • Software 26
  • Artificial Intelligence 204
  • Computer Networks and Communications 111
  • Information Systems 85
  • Medical Laboratory Technology 4
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Ioannis Voyiatzis Greece
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Citations per field
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Citations per year

Countries citing papers authored by Mark Roberts

Since Specialization
Citations

This map shows the geographic impact of Mark Roberts's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Roberts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Roberts more than expected).

Fields of papers citing papers by Mark Roberts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Roberts. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Roberts. The network helps show where Mark Roberts may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark Roberts, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Roberts Line = papers co-authored together Mark Roberts links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201274
2 201570
3 202336
4 202126
5 200825
6
Hierarchical planning: relating task and goal decomposition with task sharing
201624
7 200624
8
Trading places: how to schedule more in a multi-resource oversubscribed scheduling problem
200423
9
What makes planners predictable
200814
10 200613
11 198011
12 201410
13 20159
14
Iterative Goal Refinement for Robotics
20149
15
Coordinating Robot Teams for Disaster Relief
20156
16
Mixed Propositional Metric Temporal Logic: A New Formalism for Temporal Planning.
20164
17 20184
18 20064
19
ActorSim, A Toolkit for Studying Cross-Disciplinary Challenges in Autonomy.
20163
20 20183

About Mark Roberts

Mark Roberts is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Aerospace Engineering and Computational Theory and Mathematics, having authored 38 papers that have together received 417 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (17 papers), Logic, Reasoning, and Knowledge (10 papers), Constraint Satisfaction and Optimization (4 papers), Optimization and Search Problems (3 papers), Satellite Communication Systems (3 papers), Advanced Software Engineering Methodologies (2 papers), Semantic Web and Ontologies (2 papers) and Multi-Agent Systems and Negotiation (2 papers). The work is most often cited by research in Software (26 citations), Artificial Intelligence (204 citations), Computer Networks and Communications (111 citations), Information Systems (85 citations) and Medical Laboratory Technology (4 citations). Mark Roberts has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Adele E. Howe, Indrajit Ray, Zinta S. Byrne, Scott Sanner, L. Darrell Whitley, Lukáš Chrpa, Marek Grześ, T.L. McCluskey, Mauro Vallati and Laura Barbulescu. Their work appears in journals such as AI Magazine, IEEE Computational Intelligence Magazine, Big Data, Journal of Artificial Intelligence Research and Machine Learning.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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