David S. Post

1.5k citations
68 papers · 1.2k · h-index 20

Impact in

Papers in

David S. Post

65 papers receiving 1.1k citations

Peers

David S. Post
Comparison fields: 5 of 105
  • Mechanics of Materials 439
  • Computer Vision and Pattern Recognition 382
  • Mechanical Engineering 433
  • Experimental and Cognitive Psychology 112
  • Civil and Structural Engineering 169
Replace Ligang Zhang with:
Ligang Zhang China
Kazunori Umeda Japan
Mircea Teodorescu United States
Marie-Ange Bueno France
Minoru Hashimoto Japan
Masako Niwa Japan
R. Vargiolu France
Takeshi OGAWA Japan
Shin’ichi Warisawa Japan
David S. Post relative to Ligang Zhang China Ligang Zhang's profile →
Citations per field
00.5×2×4×6.3×
Ligang Zhang · 1×
Citations per year

Countries citing papers authored by David S. Post

Since Specialization
Citations

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

Fields of papers citing papers by David S. Post

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197385
2 201372
3 200169
4 198166
5 198965
6 201458
7 201358
8 199043
9 199241
10 198541
11 197133
12 199129
13 199429
14 199028
15 198726
16 198125
17 196625
18 198924
19 199221
20 198221

About David S. Post

David S. Post is a scholar working on Computer Vision and Pattern Recognition, Mechanics of Materials, Mechanical Engineering, Electrical and Electronic Engineering and Surfaces, Coatings and Films, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (28 papers), Advanced MEMS and NEMS Technologies (16 papers), Advanced Measurement and Metrology Techniques (16 papers), Mechanical Behavior of Composites (15 papers), Advanced Fiber Optic Sensors (9 papers), Ultrasonics and Acoustic Wave Propagation (8 papers), Optical Coatings and Gratings (5 papers) and Non-Destructive Testing Techniques (5 papers). The work is most often cited by research in Mechanics of Materials (439 citations), Computer Vision and Pattern Recognition (382 citations), Mechanical Engineering (433 citations), Experimental and Cognitive Psychology (112 citations) and Civil and Structural Engineering (169 citations). David S. Post has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include Bongtae Han, Peter Ifju, R. Czarnek, K. Luan Phan, E. Scott Geller, Daniel A. Fitzgerald, Mike Angstadt, Heide Klumpp, Carl T. Herakovich and M.‐J. Pindera. Their work appears in journals such as Experimental Mechanics, Journal of Composite Materials, The Journal of Strain Analysis for Engineering Design, Journal of Applied Mechanics and Journal of Composites Technology and Research.

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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