Daniel Post

39 papers receiving 1.3k citations

Peers

Daniel Post
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 567
  • Mechanics of Materials 359
  • Mechanical Engineering 471
  • Surfaces, Coatings and Films 85
  • Electrical and Electronic Engineering 619
Replace Fulong Dai with:
Fulong Dai China
J. W. Dally United States
Guoqing Zhang China
McLean P. Echlin United States
Haobo Cheng China
Cesar A. Sciammarella United States
Shien Ri Japan
Xin Xie China
Roland Fortunier France
Hisao Kikuta Japan
Daniel Post relative to Fulong Dai China Fulong Dai's profile →
Citations per field
00.5×2.6×
Fulong Dai · 1×
Citations per year

Countries citing papers authored by Daniel Post

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Post

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Daniel Post, 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 Post Line = papers co-authored together Daniel Post links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995337
2 1959248
3 1994213
4 198271
5 196749
6 198348
7 199140
8 196739
9 196539
10 199036
11 196831
12 196131
13 198221
14 198519
15 198918
16 197217
17 198217
18 196717
19 195415
20 198315

About Daniel Post

Daniel Post is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Electrical and Electronic Engineering, Mechanics of Materials and Surfaces, Coatings and Films, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (26 papers), Advanced Measurement and Metrology Techniques (22 papers), Advanced MEMS and NEMS Technologies (6 papers), Advanced Fiber Optic Sensors (5 papers), Optical Coatings and Gratings (5 papers), Advanced Measurement and Detection Methods (4 papers), Structural Health Monitoring Techniques (3 papers) and Mechanical Behavior of Composites (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (567 citations), Mechanics of Materials (359 citations), Mechanical Engineering (471 citations), Surfaces, Coatings and Films (85 citations) and Electrical and Electronic Engineering (619 citations). Daniel Post has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Bongtae Han, Peter Ifju, William Primak, Fulong Dai, James McKelvie, Carl T. Herakovich, Yifan Guo, Krzysztof Patorski and Diane Leenheer Zimmerman. Their work appears in journals such as Experimental Mechanics, Optical Engineering, Experimental Eye Research, Journal of Applied Physics 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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