Clayton T. Morrison

40 papers receiving 240 citations

Peers

Clayton T. Morrison
Comparison fields: 5 of 83
  • Artificial Intelligence 146
  • Molecular Biology 51
  • Computer Vision and Pattern Recognition 30
  • Global and Planetary Change 29
  • Computational Theory and Mathematics 22
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Georgios Petasis Greece
Nuno Fachada Portugal
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Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by Clayton T. Morrison

Since Specialization
Citations

This map shows the geographic impact of Clayton T. Morrison'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 Clayton T. Morrison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clayton T. Morrison more than expected).

Fields of papers citing papers by Clayton T. Morrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clayton T. Morrison. 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 Clayton T. Morrison. The network helps show where Clayton T. Morrison may publish in the future.

Co-authorship network of co-authors of Clayton T. Morrison

This figure shows the co-authorship network connecting the top 25 collaborators of Clayton T. Morrison. A scholar is included among the top collaborators of Clayton T. Morrison 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 Clayton T. Morrison. Clayton T. Morrison is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 1
4 3
5 2
6
MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions
6
7 6
8 1
9
Composition by conversation
1
10
Moderated and Drifting Linear Dynamical Systems
2
11
Blending Autonomous Exploration and Apprenticeship Learning
4
12 11
13 3
14
Learning and transferring action schemas
9
15
Maps for verbs: the relation between interaction dynamics and verb use
6
16
COLAB: A Laboratory Environment for Studying Analyst Sensemaking and Collaboration
2
17
Measuring confidence intervals in link discovery: a bootstrap approach
4
18
When push comes to shove: A study of the relation between interaction dynamics and verb use
1
19
A Knowledge Acquisition Tool for Course of Action Analysis
26
20
Proceedings of the Third International Workshop on Epigenetic Robotics
8

About Clayton T. Morrison

Clayton T. Morrison is a scholar working on Artificial Intelligence, Cultural Studies and Management Science and Operations Research, having authored 42 papers that have together received 268 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (8 papers), Natural Language Processing Techniques (8 papers) and Topic Modeling (7 papers). The work is most often cited by research in Artificial Intelligence (146 citations), Information Systems and Management (12 citations) and Computer Vision and Pattern Recognition (30 citations). Clayton T. Morrison has collaborated with scholars based in United States and Colombia. Frequent co-authors include Paul R. Cohen, Mihai Surdeanu, Juan Camilo Villegas, Richard T. Snodgrass, Travis E. Huxman, David D. Breshears, Charles Sutton, Marco A. Valenzuela-Escárcega, Xia Wang and Yu-Han Chang. Their work appears in journals such as Communications of the ACM, IEEE Transactions on Geoscience and Remote Sensing and Journal of Soil and Water Conservation.

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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2026