M.S. Goodman

2.9k citations
57 papers · 1.5k · h-index 19

Impact in

Papers in

M.S. Goodman

54 papers receiving 1.4k citations

Peers

M.S. Goodman
Comparison fields: 5 of 61
  • Radiation 166
  • Nuclear and High Energy Physics 223
  • Atomic and Molecular Physics, and Optics 458
  • Electrical and Electronic Engineering 798
  • Artificial Intelligence 422
Replace T.E. Chapuran with:
T.E. Chapuran United States
H. Müller Switzerland
Changchun Sun United States
J. Oliver Spain
Guoliang Yuan China
Pavel Lougovski United States
J.R. Sauer United States
Robert Stewart United Kingdom
R.M. Lea United Kingdom
D.B. Gustavson United States
M.S. Goodman relative to T.E. Chapuran United States T.E. Chapuran's profile →
Citations per field
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T.E. Chapuran · 1×
Citations per year

Countries citing papers authored by M.S. Goodman

Since Specialization
Citations

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

Fields of papers citing papers by M.S. Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009159
2 1996159
3 1976149
4 1988148
5 199099
6 198773
7 198371
8 198369
9 198963
10 199061
11 198855
12 200350
13 200539
14 198838
15
Application of Wavelength Division Multiplexing to Communication Network Architectures.
198633
16 198133
17 199625
18 200720
19 197919
20 197915

About M.S. Goodman

M.S. Goodman is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Nuclear and High Energy Physics and Radiation, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Optical Network Technologies (27 papers), Advanced Optical Network Technologies (14 papers), Quantum Information and Cryptography (14 papers), Photonic and Optical Devices (12 papers), Semiconductor Lasers and Optical Devices (12 papers), Advanced Photonic Communication Systems (11 papers), Quantum optics and atomic interactions (8 papers) and Particle physics theoretical and experimental studies (8 papers). The work is most often cited by research in Radiation (166 citations), Nuclear and High Energy Physics (223 citations), Atomic and Molecular Physics, and Optics (458 citations), Electrical and Electronic Engineering (798 citations) and Artificial Intelligence (422 citations). M.S. Goodman has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include E. Arthurs, H. Kobrinski, M.P. Vecchi, A.A.M. Saleh, R. C. Alferness, Richard E. Wagner, T.E. Chapuran, J.L. Gimlett, R Mohan and Paula L. Petti. Their work appears in journals such as IEEE Transactions on Nuclear Science, Physical Review Letters, Electronics Letters, IEEE Journal on Selected Areas in Communications and Medical Physics.

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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