Logan Graves

28 papers receiving 302 citations

Peers

Logan Graves
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 171
  • Mechanical Engineering 126
  • Computational Mechanics 68
  • Atomic and Molecular Physics, and Optics 89
  • Biophysics 16
Replace Hong Zhao with:
Hong Zhao China
Oliver Joshua Spires United States
Robert Windecker Germany
Haijin Fu China
Xuanze Wang China
Stanley S. C. Chim United States
Weiyao Zou United States
Deepak Kumar Sharma India
Mathias Lehmann Switzerland
Klaus Körner Germany
Logan Graves relative to Hong Zhao China Hong Zhao's profile →
Citations per field
00.5×1.5×2×2.3×
Hong Zhao · 1×
Citations per year

Countries citing papers authored by Logan Graves

Since Specialization
Citations

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

Fields of papers citing papers by Logan Graves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Logan Graves, 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 Logan Graves Line = papers co-authored together Logan Graves 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 201654
2 201835
3 201932
4 201325
5 201224
6 201921
7 201517
8 201716
9 201614
10 201914
11 20168
12 20188
13 20217
14 20136
15 20156
16 20196
17 20195
18 20184
19 20164
20 20194

About Logan Graves

Logan Graves is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Mechanical Engineering, Biomedical Engineering and Computational Mechanics, having authored 28 papers that have together received 324 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (15 papers), Adaptive optics and wavefront sensing (12 papers), Advanced Measurement and Metrology Techniques (9 papers), Optical Systems and Laser Technology (6 papers), Advanced Surface Polishing Techniques (6 papers), Advanced optical system design (4 papers), Surface Roughness and Optical Measurements (4 papers) and Photodynamic Therapy Research Studies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (171 citations), Mechanical Engineering (126 citations), Computational Mechanics (68 citations), Atomic and Molecular Physics, and Optics (89 citations) and Biophysics (16 citations). Logan Graves has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Daewook Kim, Heejoo Choi, Wenchuan Zhao, Lei Huang, Greg Smith, Daniel Apai, James H. Burge, Bhaskar Banerjee, Peng Su and Urs Utzinger. Their work appears in journals such as Journal of Biomedical Optics, Optics Express, Optical Engineering, Optics Letters and Photonics.

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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