M.A. Player

1.8k citations
92 papers · 1.5k · h-index 20

Impact in

Papers in

M.A. Player

92 papers receiving 1.4k citations

Peers

M.A. Player
Comparison fields: 5 of 111
  • Media Technology 178
  • Atomic and Molecular Physics, and Optics 560
  • Computer Vision and Pattern Recognition 289
  • Biophysics 66
  • Mechanics of Materials 228
Replace Daniel W. Wilson with:
Daniel W. Wilson United States
Gèrard Gréhan France
P. Poggi Italy
David A. Jackson United Kingdom
L. M. Biberman United States
Quanquan Mu China
G. E. A. Meier Germany
Chunmin Zhang China
A. Spizzichino United States
Yasuo Kuga United States
M.A. Player relative to Daniel W. Wilson United States Daniel W. Wilson's profile →
Citations per field
00.5×2.7×
Daniel W. Wilson · 1×
Citations per year

Countries citing papers authored by M.A. Player

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Player

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Player. 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 M.A. Player. The network helps show where M.A. Player may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992110
2 199978
3 198570
4 197067
5 200862
6 199461
7 200161
8 200760
9 199552
10 198751
11 199248
12 199345
13 200645
14 197643
15 200436
16 200234
17 199530
18 200829
19 200725
20 199521

About M.A. Player

M.A. Player is a scholar working on Atomic and Molecular Physics, and Optics, Mechanics of Materials, Biomedical Engineering, Mechanical Engineering and Electrical and Electronic Engineering, having authored 92 papers that have together received 1.5k indexed citations. Recurring topics across this work include Digital Holography and Microscopy (15 papers), Erythrocyte Function and Pathophysiology (8 papers), Metal and Thin Film Mechanics (8 papers), Copper Interconnects and Reliability (7 papers), Advanced Optical Imaging Technologies (7 papers), Underwater Acoustics Research (6 papers), Blood properties and coagulation (6 papers) and nanoparticles nucleation surface interactions (5 papers). The work is most often cited by research in Media Technology (178 citations), Atomic and Molecular Physics, and Optics (560 citations), Computer Vision and Pattern Recognition (289 citations), Biophysics (66 citations) and Mechanics of Materials (228 citations). M.A. Player has collaborated with scholars based in United Kingdom, Jordan and Iran. Frequent co-authors include C. Farrell, Hadi Savaloni, John Watson, P. G. H. Sandars, D. Hendry, Richard D. Neilson, Hongyue Sun, Marian Wiercigroch, G V Marr and Erdan Gu. Their work appears in journals such as Measurement Science and Technology, Journal of Physics D Applied Physics, Nanotechnology, Journal of Modern Optics and Thin Solid Films.

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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