D. M. Kane

1.9k citations
139 papers · 1.3k · h-index 21

Impact in

Papers in

D. M. Kane

127 papers receiving 1.3k citations

Peers

D. M. Kane
Comparison fields: 5 of 132
  • Research and Theory 47
  • Statistical and Nonlinear Physics 186
  • Atomic and Molecular Physics, and Optics 409
  • Leadership and Management 13
  • Electrical and Electronic Engineering 615
Replace Svetlana V. Gurevich with:
Svetlana V. Gurevich Germany
François Ladouceur Australia
Andreas Bräuer Germany
Yael Roichman Israel
Juan Elezgaray France
Kazuo Kuroda Japan
Duncan T. Moore United States
Tsutomu Yamashita Japan
Gregg M. Gallatin United States
M. Martinelli Italy
D. M. Kane relative to Svetlana V. Gurevich Germany Svetlana V. Gurevich's profile →
Citations per field
00.5×1.5×2.2×
Svetlana V. Gurevich · 1×
Citations per year

Countries citing papers authored by D. M. Kane

Since Specialization
Citations

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

Fields of papers citing papers by D. M. Kane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013108
2 201484
3 200454
4 199942
5 201038
6 200132
7 200029
8 200628
9 200727
10 201125
11 201524
12 200124
13 201723
14 198623
15 200322
16 199521
17 200921
18 200221
19 198420
20 201220

About D. M. Kane

D. M. Kane is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computational Mechanics, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 139 papers that have together received 1.3k indexed citations. Recurring topics across this work include Semiconductor Lasers and Optical Devices (42 papers), Photonic and Optical Devices (33 papers), Advanced Fiber Laser Technologies (26 papers), Laser Material Processing Techniques (23 papers), Laser Design and Applications (18 papers), Optical Network Technologies (15 papers), Nonlinear Dynamics and Pattern Formation (14 papers) and Silk-based biomaterials and applications (12 papers). The work is most often cited by research in Research and Theory (47 citations), Statistical and Nonlinear Physics (186 citations), Atomic and Molecular Physics, and Optics (409 citations), Leadership and Management (13 citations) and Electrical and Electronic Engineering (615 citations). D. M. Kane has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Douglas J. Little, Jon Lawrence, K.A. Shore, Sheila Cameron, Dale Rajacich, A. I. Ferguson, Robert J. Carman, Richard P. Mildren, Min Won Lee and Malcolm H. Dunn. Their work appears in journals such as Optics Express, Optics Communications, Journal of Applied Physics, Optics Letters and Applied Physics A.

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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