David Moss

51.0k citations
425 papers · 15.4k indexed · 11 hit papers · h-index 62

David Moss

379 papers receiving 14.6k citations

Hit Papers

Graph...28219872026200020132505007501000

Peers

David Moss
Comparison fields: 5 of 168
  • Atomic and Molecular Physics, and Optics 10.3k
  • Electrical and Electronic Engineering 11.8k
  • Artificial Intelligence 2.2k
  • Acoustics and Ultrasonics 61
  • Computer Networks and Communications 1.2k
Replace Hong X. Tang with:
Hong X. Tang United States
Massimiliano Di Ventra United States
R. M. Shelby United States
Michal Lipson United States
Wei Lü United States
Juerg Leuthold Switzerland
Sai T. Chu Hong Kong
John E. Bowers United States
Jürgen Michel United States
Min Xiao United States
David Moss relative to Hong X. Tang United States Hong X. Tang's profile →
Citations per field
00.5×6.9×
Hong X. Tang · 1×
Citations per year

Countries citing papers authored by David Moss

Since Specialization
Citations

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

Fields of papers citing papers by David Moss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202432
3 202416
4 20241
5 202313
6 20231
7 20234
8 20236
9 202271
10 202271
11 202214
12 20216
13 202117
14 20201
15 202023
16 202037
17
Laser cavity-soliton microcombs
201946
18 201942
19 201831
20 201566

About David Moss

David Moss is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Materials Chemistry, having authored 425 papers that have together received 15.4k indexed citations. Recurring topics across this work include Photonic and Optical Devices (300 papers), Advanced Fiber Laser Technologies (240 papers), Optical Network Technologies (95 papers), Advanced Photonic Communication Systems (68 papers), Photonic Crystals and Applications (43 papers), Advanced Fiber Optic Sensors (41 papers), Semiconductor Lasers and Optical Devices (41 papers) and Mechanical and Optical Resonators (32 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (10.3k citations), Electrical and Electronic Engineering (11.8k citations) and Artificial Intelligence (2.2k citations). David Moss has collaborated with scholars based in Australia, Canada and China. Frequent co-authors include Roberto Morandotti, Sai T. Chu, Jiayang Wu, Brent E. Little, J. E. Sipe, Benjamin J. Eggleton, Xingyuan Xu, Arnan Mitchell, Brent E. Little and Kyle Jamieson. Their work appears in journals such as Optics Express, Journal of Lightwave Technology, IEEE Journal of Selected Topics in Quantum Electronics, Optics Letters and APL 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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