Clayton T. Morrison

92 total papers · 568 total citations
42 papers, 266 citations indexed

About

Clayton T. Morrison is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Clayton T. Morrison has authored 42 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 7 papers in Molecular Biology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Clayton T. Morrison's work include AI-based Problem Solving and Planning (8 papers), Natural Language Processing Techniques (8 papers) and Topic Modeling (7 papers). Clayton T. Morrison is often cited by papers focused on AI-based Problem Solving and Planning (8 papers), Natural Language Processing Techniques (8 papers) and Topic Modeling (7 papers). Clayton T. Morrison collaborates with scholars based in United States and Colombia. Clayton T. Morrison's co-authors include Paul R. Cohen, Mihai Surdeanu, Travis E. Huxman, Richard T. Snodgrass, David D. Breshears, Charles Sutton, Juan Camilo Villegas, Yu-Han Chang, Marco A. Valenzuela-Escárcega and Xia Wang and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Geoscience and Remote Sensing and Journal of Soil and Water Conservation.

In The Last Decade

Clayton T. Morrison

39 papers receiving 237 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Clayton T. Morrison 144 51 30 29 22 42 266
Thanuka L. Wickramarathne 125 0.9× 22 0.4× 23 0.8× 23 0.8× 9 0.4× 32 314
Lì Jiāng 181 1.3× 11 0.2× 69 2.3× 22 0.8× 6 0.3× 34 320
Otto Opitz 98 0.7× 28 0.5× 41 1.4× 6 0.2× 42 1.9× 18 314
Soumadip Ghosh 139 1.0× 46 0.9× 32 1.1× 15 0.5× 8 0.4× 23 309
Qiang Huang 156 1.1× 12 0.2× 20 0.7× 18 0.6× 17 0.8× 16 233
Vipin Kumar 63 0.4× 17 0.3× 23 0.8× 12 0.4× 19 0.9× 26 266
Innar Liiv 54 0.4× 20 0.4× 79 2.6× 17 0.6× 21 1.0× 27 240
Bihter Daş 67 0.5× 74 1.5× 15 0.5× 8 0.3× 19 0.9× 35 222
P. Subashini 100 0.7× 11 0.2× 105 3.5× 6 0.2× 9 0.4× 64 275
Lili Zhang 137 1.0× 6 0.1× 19 0.6× 9 0.3× 45 2.0× 39 298

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

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026