Daniel Sawyer

53 papers receiving 639 citations

Peers

Daniel Sawyer
Comparison fields: 5 of 70
  • Geology 191
  • Instrumentation 93
  • Statistics, Probability and Uncertainty 100
  • Computer Vision and Pattern Recognition 256
  • Environmental Engineering 148
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Liping Yan China
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Countries citing papers authored by Daniel Sawyer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sawyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015174
2 200958
3 201452
4 195845
5 201727
6 201725
7 201021
8 201321
9 202019
10 201717
11 201714
12 201414
13
The Calculation of CMM Measurement Uncertainty via The Method of Simulation by Constraints | NIST
199713
14 195713
15 202012
16 200111
17
The Validation of CMM Task Specific Measurement Uncertainty Software | NIST
200311
18 201711
19 201810
20 201910

About Daniel Sawyer

Daniel Sawyer is a scholar working on Mechanical Engineering, Geology, Computer Vision and Pattern Recognition, Biomedical Engineering and Environmental Engineering, having authored 55 papers that have together received 698 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (21 papers), 3D Surveying and Cultural Heritage (20 papers), Remote Sensing and LiDAR Applications (12 papers), Optical measurement and interference techniques (12 papers), Scientific Measurement and Uncertainty Evaluation (7 papers), Advanced Optical Sensing Technologies (7 papers), Advanced Sensor Technologies Research (6 papers) and Advanced X-ray and CT Imaging (4 papers). The work is most often cited by research in Geology (191 citations), Instrumentation (93 citations), Statistics, Probability and Uncertainty (100 citations), Computer Vision and Pattern Recognition (256 citations) and Environmental Engineering (148 citations). Daniel Sawyer has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Bala Muralikrishnan, R. H. Rediker, Steven Phillips, Bruce R. Borchardt, William T. Estler, Vincent Lee, Geraldine S. Cheok, Luc Cournoyer, Ling Wang and Craig M. Shakarji. Their work appears in journals such as Journal of Research of the National Institute of Standards and Technology, Measurement, Precision Engineering, Measurement Science and Technology and Optics and Lasers in Engineering.

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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