Malcolm B. Gray

1.8k citations
87 papers · 1.4k · h-index 20

Impact in

Papers in

Malcolm B. Gray

84 papers receiving 1.3k citations

Peers

Malcolm B. Gray
Comparison fields: 5 of 31
  • Atomic and Molecular Physics, and Optics 619
  • Astronomy and Astrophysics 352
  • Electrical and Electronic Engineering 504
  • Artificial Intelligence 215
  • Ocean Engineering 51
Replace L. J. Wang with:
L. J. Wang Germany
Alberto Mura Italy
Haifeng Jiang China
Osama Terra Egypt
C. C. Harb Australia
Giuseppe Marra United Kingdom
Tianchu Li China
David A. Howe United States
Fai Mok United States
Mikko Merimaa Finland
Malcolm B. Gray relative to L. J. Wang Germany L. J. Wang's profile →
Citations per field
00.5×2×4×6×8×9.5×
L. J. Wang · 1×
Citations per year

Countries citing papers authored by Malcolm B. Gray

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm B. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malcolm B. Gray. 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 Malcolm B. Gray. The network helps show where Malcolm B. Gray may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004158
2 2004156
3 200591
4 200368
5 200560
6 201052
7 199850
8 200341
9 201034
10 199333
11 200032
12 200631
13 200931
14 199930
15 200422
16 200722
17 201221
18 201221
19 201120
20 201320

About Malcolm B. Gray

Malcolm B. Gray is a scholar working on Atomic and Molecular Physics, and Optics, Astronomy and Astrophysics, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 87 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (29 papers), Pulsars and Gravitational Waves Research (23 papers), Mechanical and Optical Resonators (18 papers), Quantum Information and Cryptography (13 papers), Optical measurement and interference techniques (11 papers), Advanced Frequency and Time Standards (8 papers), Spectroscopy and Laser Applications (7 papers) and Adaptive optics and wavefront sensing (5 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (619 citations), Astronomy and Astrophysics (352 citations), Electrical and Electronic Engineering (504 citations), Artificial Intelligence (215 citations) and Ocean Engineering (51 citations). Malcolm B. Gray has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include David E. McClelland, D. A. Shaddock, J. H. Chow, Benjamin Sheard, Ian C. M. Littler, Stanley E. Whitcomb, Kirk McKenzie, Ping Koy Lam, Conor M Mow-Lowry and Hans‐A. Bachor. Their work appears in journals such as Optics Express, Optics Letters, Applied Optics, Classical and Quantum Gravity and General Relativity and Gravitation.

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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