Greg Forbes

453 citations
24 papers · 360 indexed · h-index 8

Greg Forbes

22 papers receiving 324 citations

Peers

Greg Forbes
Comparison fields: 5 of 37
  • Computer Vision and Pattern Recognition 265
  • Mechanical Engineering 238
  • Computational Mechanics 113
  • Media Technology 32
  • Atomic and Molecular Physics, and Optics 97
Replace Sanjib Chatterjee with:
Sanjib Chatterjee India
Paul E. Murphy United States
Alejandro Cornejo-Rodrı́guez Mexico
Chiayu Ai United States
I. Weingärtner Germany
Osuk Y. Kwon United States
Stanley S. C. Chim United States
Alberto Cordero-Dávila Mexico
Yongmo Zhuo China
Yongfu Wen China
Greg Forbes relative to Sanjib Chatterjee India Sanjib Chatterjee's profile →
Citations per field
00.5×1.5×2.5×
Sanjib Chatterjee · 1×
Citations per year

Countries citing papers authored by Greg Forbes

Since Specialization
Citations

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

Fields of papers citing papers by Greg Forbes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20160
2 20162
3 20133
4 20102
5 20091
6
Distributing aspheric surfaces brings down cost
20071
7 20071
8 20069
9 20065
10 20055
11
Extending the accuracy and range of an interferometer through subaperture stitching
20053
12 200517
13 20051
14 200525
15 200395
16 200363
17 20016
18 200034
19 19972
20 19904

About Greg Forbes

Greg Forbes is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Computational Mechanics, Biomedical Engineering and Computational Theory and Mathematics, having authored 24 papers that have together received 360 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (16 papers), Optical measurement and interference techniques (14 papers), Advanced optical system design (7 papers), Surface Roughness and Optical Measurements (5 papers), Advanced Surface Polishing Techniques (3 papers), Laser and Thermal Forming Techniques (3 papers), Adaptive optics and wavefront sensing (2 papers) and Advancements in Photolithography Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (265 citations), Mechanical Engineering (238 citations), Computational Mechanics (113 citations), Media Technology (32 citations) and Atomic and Molecular Physics, and Optics (97 citations). Greg Forbes has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Paul E. Murphy, Paul Dumas, Marc Tricard, David I. Farrant, Christopher J. Walsh, Miguel A. Alonso, Justin L. Blows, Judith M. Dawes, Johannes Ruoff and James A. Piper. Their work appears in journals such as Optics and Photonics News, Advanced Optical Technologies, SPIE Newsroom, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 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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