Paul E. Murphy

647 citations
33 papers · 503 · h-index 12

Impact in

Papers in

Paul E. Murphy

30 papers receiving 454 citations

Peers

Paul E. Murphy
Comparison fields: 5 of 34
  • Computer Vision and Pattern Recognition 401
  • Mechanical Engineering 331
  • Computational Mechanics 144
  • Media Technology 44
  • Atomic and Molecular Physics, and Optics 136
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Greg Forbes United States
Yongmo Zhuo China
Peng Su United States
Chiayu Ai United States
Youichi Bitou Japan
Tae Bong Eom South Korea
Ribun Onodera Japan
Ki-Nam Joo South Korea
Alejandro Cornejo-Rodrı́guez Mexico
Hiroyoshi Saito Japan
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Citations per field
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Citations per year

Countries citing papers authored by Paul E. Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Paul E. Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul E. Murphy. 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 Paul E. Murphy. The network helps show where Paul E. Murphy may publish in the future.

Co-authors

The 11 scholars most cited alongside Paul E. Murphy, 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 Paul E. Murphy Line = papers co-authored together Paul E. Murphy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200395
2 200664
3 200363
4 201045
5 200041
6 200026
7 200221
8 201019
9 200517
10 200916
11 201215
12 201613
13 20069
14 20068
15 20196
16 20156
17 20176
18 20055
19 20055
20 20044

About Paul E. Murphy

Paul E. Murphy is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition, Computational Mechanics, Biomedical Engineering and Electrical and Electronic Engineering, having authored 33 papers that have together received 503 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (27 papers), Optical measurement and interference techniques (25 papers), Surface Roughness and Optical Measurements (9 papers), Advanced Surface Polishing Techniques (7 papers), Adaptive optics and wavefront sensing (3 papers), Laser and Thermal Forming Techniques (3 papers), Advanced optical system design (3 papers) and Advancements in Photolithography Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (401 citations), Mechanical Engineering (331 citations), Computational Mechanics (144 citations), Media Technology (44 citations) and Atomic and Molecular Physics, and Optics (136 citations). Paul E. Murphy has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Greg Forbes, Paul Dumas, Marc Tricard, Thomas G. Brown, Duncan T. Moore, G. W. Forbes, Andrzej Tarczynski, Jürgen Fleig, Aric Shorey and T.I. Laakso. Their work appears in journals such as CIRP Annals, Optics and Photonics News, Frontiers in Optics, Information and Control and Applied Optics.

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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