Scott Workman

1.6k citations
32 papers · 959 · h-index 13

Impact in

Papers in

Scott Workman

30 papers receiving 942 citations

Peers

Scott Workman
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 601
  • Electrochemistry 127
  • Aerospace Engineering 339
  • Media Technology 92
  • Computer Graphics and Computer-Aided Design 22
Replace Tianpeng Liu with:
Tianpeng Liu China
Mathias Ortner France
Mohammad Reza Ahmadzadeh Iran
Hao Zeng China
Zhengyu Zhao China
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Citations per field
00.5×10×15.5×
Tianpeng Liu · 1×
Citations per year

Countries citing papers authored by Scott Workman

Since Specialization
Citations

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

Fields of papers citing papers by Scott Workman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Scott Workman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Scott Workman Line = papers co-authored together Scott Workman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015231
2 2017161
3 2000105
4 201591
5 200180
6 201650
7 201548
8 200122
9 201621
10 202019
11 202018
12 202115
13 201314
14 202212
15 202010
16 20169
17 20149
18 20187
19 20226
20 20236

About Scott Workman

Scott Workman is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering, Media Technology, Molecular Biology and Ocean Engineering, having authored 32 papers that have together received 959 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Advanced Vision and Imaging (7 papers), Video Surveillance and Tracking Methods (7 papers), Remote Sensing and LiDAR Applications (6 papers), Optical measurement and interference techniques (4 papers), Remote-Sensing Image Classification (4 papers), Image Enhancement Techniques (3 papers) and Evolutionary Psychology and Human Behavior (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (601 citations), Electrochemistry (127 citations), Aerospace Engineering (339 citations), Media Technology (92 citations) and Computer Graphics and Computer-Aided Design (22 citations). Scott Workman has collaborated with scholars based in United States, Netherlands and Brazil. Frequent co-authors include Nathan Jacobs, Richard Souvenir, Menghua Zhai, Mark Richter, Zachary Bessinger, Brian D. Muegge, Mohammad Tariqul Islam, Muhammad Usman Rafique, C. B. Cole and David A. Bruce. Their work appears in journals such as Analytical Chemistry, Geological Society London Special Publications, Image and Vision Computing, Computer Vision and Image Understanding and IEEE Transactions on Information Forensics and Security.

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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