MA Sutton

2.3k citations
12 papers · 1.9k · 1 hit paper · h-index 10

Impact in

Papers in

MA Sutton

11 papers receiving 1.9k citations

MA Sutton's Hit Papers

Determination of displacements using an improved digital correlation method 1983 · 1.5k citations
1.5k0+14+28Years since publication50010001.5k

Peers

MA Sutton
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 946
  • Civil and Structural Engineering 681
  • Mechanics of Materials 730
  • Media Technology 180
  • Mechanical Engineering 680
Replace Tsuchin Philip Chu with:
Tsuchin Philip Chu United States
Satoru Yoneyama Japan
Dimitri Debruyne Belgium
P. Doumalin France
Jean‐Christophe Dupré France
Sébastien Mistou France
Stephen R. McNeill United States
Jeffrey D. Helm United States
Dafang Wu China
Évelyne Toussaint France
MA Sutton relative to Tsuchin Philip Chu United States Tsuchin Philip Chu's profile →
Citations per field
00.5×1.5×
Tsuchin Philip Chu · 1×
Citations per year

Countries citing papers authored by MA Sutton

Since Specialization
Citations

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

Fields of papers citing papers by MA Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Determination of displacements using an improved digital correlation method
Hit paper breakdown →
19831534
2 199570
3 199968
4 199963
5 199953
6 199552
7 199738
8 199124
9 199521
10 199816
11 19883
12 20040

About MA Sutton

MA Sutton is a scholar working on Mechanics of Materials, Mechanical Engineering, Computer Vision and Pattern Recognition, Civil and Structural Engineering and Electrical and Electronic Engineering, having authored 12 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fatigue and fracture mechanics (7 papers), Non-Destructive Testing Techniques (6 papers), Numerical methods in engineering (4 papers), Optical measurement and interference techniques (4 papers), Ultrasonics and Acoustic Wave Propagation (3 papers), Structural Health Monitoring Techniques (2 papers), Material Properties and Failure Mechanisms (2 papers) and Structural Load-Bearing Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (946 citations), Civil and Structural Engineering (681 citations), Mechanics of Materials (730 citations), Media Technology (180 citations) and Mechanical Engineering (680 citations). MA Sutton has collaborated with scholars based in United States and China. Frequent co-authors include S.R. McNeill, W. F. Ranson, DS Dawicke, J. C. Newman, Xiaomin Deng, Weigang Zhao, Wenxia Zhao, J. L. Turner and Hugh A. Bruck. Their work appears in journals such as Fatigue & Fracture of Engineering Materials & Structures, Image and Vision Computing and NASA Technical Reports Server (NASA).

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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