David R. Pratt

42 total papers · 1.7k total citations
32 papers, 1.1k citations indexed

About

David R. Pratt is a scholar working on Control and Systems Engineering, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, David R. Pratt has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 10 papers in Management Science and Operations Research and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in David R. Pratt's work include Simulation Techniques and Applications (10 papers), Simulation and Modeling Applications (10 papers) and Human Motion and Animation (7 papers). David R. Pratt is often cited by papers focused on Simulation Techniques and Applications (10 papers), Simulation and Modeling Applications (10 papers) and Human Motion and Animation (7 papers). David R. Pratt collaborates with scholars based in United States. David R. Pratt's co-authors include Michael Zyda, Paul T. Barham, M. Macedonia, Don Brutzman, Robert B. McGhee, John Locke, Hyeong‐Seok Ko, Norman I. Badler, S.C. Jacobsen and John P. Granieri and has published in prestigious journals such as Computer, IEEE Computer Graphics and Applications and PRESENCE Virtual and Augmented Reality.

In The Last Decade

David R. Pratt

29 papers receiving 954 citations

Author Peers

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

Author Last Decade Papers Cites
David R. Pratt 483 389 215 204 192 32 1.1k
M. Macedonia 604 1.3× 331 0.9× 188 0.9× 112 0.5× 144 0.8× 43 1.2k
Sandeep K. Singhal 793 1.6× 269 0.7× 180 0.8× 75 0.4× 76 0.4× 14 1.3k
Henry A. Sowizral 230 0.5× 619 1.6× 189 0.9× 391 1.9× 194 1.0× 31 1.3k
Danhang Tang 120 0.2× 1.2k 3.2× 519 2.4× 114 0.6× 353 1.8× 37 1.5k
Gopal Pingali 69 0.1× 529 1.4× 180 0.8× 86 0.4× 45 0.2× 49 932
Roger Hubbold 71 0.1× 524 1.3× 306 1.4× 246 1.2× 80 0.4× 54 960
Cristina Perfecto 411 0.9× 246 0.6× 102 0.5× 33 0.2× 49 0.3× 19 966
Benjamin Lee 663 1.4× 565 1.5× 209 1.0× 54 0.3× 31 0.2× 35 1.5k
Brian Guenter 180 0.4× 986 2.5× 178 0.8× 253 1.2× 389 2.0× 30 1.5k
Yao Liu 492 1.0× 575 1.5× 61 0.3× 19 0.1× 34 0.2× 71 1.1k

Countries citing papers authored by David R. Pratt

Since Specialization
Citations

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

Fields of papers citing papers by David R. Pratt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Pratt. 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 David R. Pratt. The network helps show where David R. Pratt may publish in the future.

Co-authorship network of co-authors of David R. Pratt

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

All Works

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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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