Daniel A. LeMaster

439 citations
42 papers · 305 · h-index 10

Impact in

Papers in

Daniel A. LeMaster

33 papers receiving 286 citations

Peers

Daniel A. LeMaster
Comparison fields: 5 of 37
  • Media Technology 76
  • Acoustics and Ultrasonics 6
  • Computer Vision and Pattern Recognition 113
  • Atomic and Molecular Physics, and Optics 108
  • Biomedical Engineering 151
Replace Hervé Sauer with:
Hervé Sauer France
Yunfeng Nie Belgium
Nicolaas Tack Belgium
Wenyi Ren China
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Matthieu Boffety France
David William Fletcher-Holmes United Kingdom
Dengyu Liu China
Toshitaka Wakayama Japan
Daniel A. LeMaster relative to Hervé Sauer France Hervé Sauer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel A. LeMaster

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. LeMaster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. LeMaster. 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 Daniel A. LeMaster. The network helps show where Daniel A. LeMaster may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel A. LeMaster, 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 Daniel A. LeMaster Line = papers co-authored together Daniel A. LeMaster links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201760
2 201444
3 201121
4 201718
5 200817
6 201316
7 201116
8 201314
9 20169
10 20139
11 20109
12 20107
13 20127
14 20216
15 20086
16 20126
17 20165
18 20084
19 20223
20 20173

About Daniel A. LeMaster

Daniel A. LeMaster is a scholar working on Aerospace Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics, having authored 42 papers that have together received 305 indexed citations. Recurring topics across this work include Optical Polarization and Ellipsometry (18 papers), Infrared Target Detection Methodologies (15 papers), Calibration and Measurement Techniques (11 papers), Adaptive optics and wavefront sensing (7 papers), Optical measurement and interference techniques (6 papers), Advanced Image Processing Techniques (6 papers), Remote-Sensing Image Classification (6 papers) and Atmospheric aerosols and clouds (3 papers). The work is most often cited by research in Media Technology (76 citations), Acoustics and Ultrasonics (6 citations), Computer Vision and Pattern Recognition (113 citations), Atomic and Molecular Physics, and Optics (108 citations) and Biomedical Engineering (151 citations). Daniel A. LeMaster has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Keigo Hirakawa, Russell C. Hardie, Bradley M. Ratliff, Michael T. Eismann, Szymon Gładysz, Jonathan D. Power, Stephen C. Cain, Bahram Javidi, J. R. Middendorf and Mikhail A. Vorontsov. Their work appears in journals such as Optical Engineering, Optics Express, Journal of Display Technology, Applied Optics and Journal of the Optical Society of America A.

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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