Curtis Padgett

1.4k citations
41 papers · 1.1k indexed · h-index 12
Topics
Robotics and Sensor-Based Localization (13 papers)Infrared Target Detection Methodologies (8 papers)Robotic Path Planning Algorithms (6 papers)

In The Last Decade

Curtis Padgett

40 papers receiving 1.0k citations

Peers

Curtis Padgett
Comparison fields: 5 of 84
  • Aerospace Engineering 417
  • Computer Vision and Pattern Recognition 370
  • Computational Mechanics 274
  • Civil and Structural Engineering 215
  • Experimental and Cognitive Psychology 179
Replace Lauri Savioja with:
Lauri Savioja Finland
Anbang Yao China
J.-Y. Bouguet United States
Jianhui Zhao China
Mohamed Daoudi France
Honghui Yang China
Y. Yemez Türkiye
Eleonora Vig Germany
M.K.H. Leung Singapore
David K. Han United States
Curtis Padgett relative to Lauri Savioja Finland Lauri Savioja's profile →
Citations per field
00.5×3.4×
Lauri Savioja · 1×
Citations per year

Countries citing papers authored by Curtis Padgett

Since Specialization
Citations

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

Fields of papers citing papers by Curtis Padgett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Curtis Padgett. 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 Curtis Padgett. The network helps show where Curtis Padgett may publish in the future.

Co-authorship network of co-authors of Curtis Padgett

This figure shows the co-authorship network connecting the top 25 collaborators of Curtis Padgett. A scholar is included among the top collaborators of Curtis Padgett 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 Curtis Padgett. Curtis Padgett 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 4
2 18
3 3
4 7
5 6
6 6
7 1
8 62
9 6
10
A Mixture of Experts Model Exhibiting Prosopagnosia
1
11 12
12 179
13 1
14
Real Time Intelligent Target Detection and Analysis with Machine Vision
6
15 41
16 1
17 1
18 4
19
Representing Face Images for Emotion Classification
126
20
Identifying Emotion in Static Face Images
19

About Curtis Padgett

Curtis Padgett is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Media Technology, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (13 papers), Infrared Target Detection Methodologies (8 papers) and Robotic Path Planning Algorithms (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (370 citations), Aerospace Engineering (417 citations) and Geology (77 citations). Curtis Padgett has collaborated with scholars based in United States, Norway and Switzerland. Frequent co-authors include Kenneth Kreutz-Delgado, Garrison W. Cottrell, Mohammad R. Jahanshahi, Sami F. Masri, Gaurav S. Sukhatme, Matthew N. Dailey, Ralph Adolphs, Yao Sui, Yuanwei Wu and Guanghui Wang. Their work appears in journals such as Journal of Cognitive Neuroscience, Pattern Recognition and Neurocomputing.

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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