Michael B Moore

424 total citations
15 papers, 314 citations indexed

About

Michael B Moore is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael B Moore has authored 15 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael B Moore's work include AI-based Problem Solving and Planning (5 papers), Artificial Intelligence in Games (4 papers) and Multi-Agent Systems and Negotiation (3 papers). Michael B Moore is often cited by papers focused on AI-based Problem Solving and Planning (5 papers), Artificial Intelligence in Games (4 papers) and Multi-Agent Systems and Negotiation (3 papers). Michael B Moore collaborates with scholars based in United States. Michael B Moore's co-authors include Stephen D. Helmer, Matthew C. Byrnes, R. Stephen Smith, Christopher Geib, Bonnie Webber, Norman I. Badler, Barbara Di Eugenio, Matthew Stone, Catherine Pélachaud and Christopher W. T. Miller and has published in prestigious journals such as Journal of the American Chemical Society, Transplantation and Artificial Intelligence.

In The Last Decade

Michael B Moore

15 papers receiving 279 citations

Peers

Michael B Moore
Comparison fields: 5 of 81
  • Surgery 89
  • Control and Systems Engineering 79
  • Artificial Intelligence 71
  • Computer Vision and Pattern Recognition 66
  • Emergency Medicine 64
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Citations per field, relative to Michael B Moore
Michael B Moore · 1×
Citations per year, relative to Michael B Moore
Michael B Moore · 1×

Countries citing papers authored by Michael B Moore

Since Specialization
Citations

This map shows the geographic impact of Michael B Moore'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 Michael B Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael B Moore more than expected).

Fields of papers citing papers by Michael B Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael B Moore. 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 Michael B Moore. The network helps show where Michael B Moore may publish in the future.

Co-authorship network of co-authors of Michael B Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Michael B Moore. A scholar is included among the top collaborators of Michael B Moore based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael B Moore. Michael B Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 8
2 12
3 146
4
Planning for animation
16
5 13
6 10
7
Planning for Reactive Behaviors in Hide and Seek
5
8 46
9
Planning and Terrain Reasoning
7
10
Planning and Parallel Transition Networks: Animation's New Frontiers
15
11
SodaJack: An Architecture For Agents That Search For And Manipulate Objects
22
12
Search Plans (Dissertation Proposal)
1
13
Doing What You're Told: Following Task Instructions in Changing, but Hospitable Environments
5
14 7
15 1

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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