H.P. Foote

33 papers receiving 633 citations

Peers

H.P. Foote
Comparison fields: 5 of 94
  • Computer Vision and Pattern Recognition 287
  • Artificial Intelligence 183
  • Environmental Engineering 128
  • Global and Planetary Change 117
  • Molecular Biology 114
Replace Costas Panagiotakis with:
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Mahsa Mirzargar United States
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Harish Doraiswamy United States
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Countries citing papers authored by H.P. Foote

Since Specialization
Citations

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

Fields of papers citing papers by H.P. Foote

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.P. Foote. 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 H.P. Foote. The network helps show where H.P. Foote may publish in the future.

Co-authorship network of co-authors of H.P. Foote

This figure shows the co-authorship network connecting the top 25 collaborators of H.P. Foote. A scholar is included among the top collaborators of H.P. Foote 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 H.P. Foote. H.P. Foote 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 8
2 14
3 8
4 61
5 7
6 30
7 14
8 18
9
Visual Analytics and Storytelling through Video
1
10 7
11 14
12 14
13 23
14 164
15
Radiation and surface energy budgets for a Colorado valley
1
16
Landsat thematic mapper radiometric calibration study
2
17
Surface reflectance correction and stereo enhancement of Landsat thematic mapper imagery for structural geologic exploration
1
18
Advanced techniques for lithologic and fracture analysis utilizing thematic mapper and topographic data
0
19
Monitoring nuclear facilities using Landsat-4 thermatic mapper data
1
20
Transport modeling in the environment using the discrete-parcel-random-walk approach
2

About H.P. Foote

H.P. Foote is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Geochemistry and Petrology, having authored 35 papers that have together received 682 indexed citations. Recurring topics across this work include Data Visualization and Analytics (16 papers), Complex Network Analysis Techniques (9 papers) and Remote-Sensing Image Classification (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (287 citations), Environmental Engineering (128 citations) and Computer Graphics and Computer-Aided Design (28 citations). H.P. Foote has collaborated with scholars based in United States. Frequent co-authors include Pak Chung Wong, Kwong‐Kwok Wong, J. Joshua Thomas, Wendy Cowley, Kenneth A. Perrine, Ross Guttromson, Jim Thomas, Kevin P. Schneider, James J. Thomas and L. Ruby Leung. Their work appears in journals such as Remote Sensing of Environment, Communications of the ACM and International Journal of Remote Sensing.

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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