John Mashford

720 citations
28 papers · 502 · h-index 10

Impact in

Papers in

John Mashford

26 papers receiving 479 citations

Peers

John Mashford
Comparison fields: 5 of 76
  • Civil and Structural Engineering 307
  • Computer Vision and Pattern Recognition 113
  • Water Science and Technology 66
  • Ocean Engineering 69
  • Environmental Engineering 62
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Tengfei Bao China
Naser Moosavian Canada
Mohamad Alipour United States
David Ayala–Cabrera Spain
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Citations per year

Countries citing papers authored by John Mashford

Since Specialization
Citations

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

Fields of papers citing papers by John Mashford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200979
2 200074
3 201065
4 201162
5 201260
6 201045
7 201125
8 201111
9 20149
10
Pipeline reconstruction from fisheye images
20119
11 20018
12 20128
13 20176
14 20096
15 20026
16 20125
17 19814
18 20204
19 20114
20 20083

About John Mashford

John Mashford is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Industrial and Manufacturing Engineering and Environmental Engineering, having authored 28 papers that have together received 502 indexed citations. Recurring topics across this work include Water Systems and Optimization (8 papers), Infrastructure Maintenance and Monitoring (6 papers), Image and Signal Denoising Methods (4 papers), Noncommutative and Quantum Gravity Theories (4 papers), Image and Object Detection Techniques (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Black Holes and Theoretical Physics (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Civil and Structural Engineering (307 citations), Computer Vision and Pattern Recognition (113 citations), Water Science and Technology (66 citations), Ocean Engineering (69 citations) and Environmental Engineering (62 citations). John Mashford has collaborated with scholars based in Australia, Germany and South Africa. Frequent co-authors include Stewart Burn, Donavan Marney, Dhammika De Silva, David Marlow, R. Kirkham, K.J. Rogers, Yuhang Zhang, Richard Hartley, Robert J. May and Paul F. Davis. Their work appears in journals such as Journal of Computing in Civil Engineering, Applied Artificial Intelligence, Optimization, Annals of Operations Research and Reliability Engineering & System Safety.

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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