Daniel J. Elson

561 citations
45 papers · 371 · h-index 11

Impact in

Papers in

Daniel J. Elson

39 papers receiving 345 citations

Peers

Daniel J. Elson
Comparison fields: 5 of 28
  • Electrical and Electronic Engineering 354
  • Acoustics and Ultrasonics 2
  • Atomic and Molecular Physics, and Optics 52
  • Computer Networks and Communications 40
  • Biophysics 2
Replace Ivan Fernandez de Jauregui Ruiz with:
Ivan Fernandez de Jauregui Ruiz France
Philippe Jennevé France
Setsuo Yoshida Japan
Robert Emmerich Germany
Huaiyu Zeng United States
Cédric Ware France
Yequn Zhang United States
Lotfollah Beygi Sweden
Mengqi Guo China
Jingchi Cheng China
Daniel J. Elson relative to Ivan Fernandez de Jauregui Ruiz France Ivan Fernandez de Jauregui Ruiz's profile →
Citations per field
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Ivan Fernandez de Jauregui Ruiz · 1×
Citations per year

Countries citing papers authored by Daniel J. Elson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Elson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Elson. 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 Daniel J. Elson. The network helps show where Daniel J. Elson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201770
2 201867
3 201823
4 201719
5 201819
6 202316
7 201815
8 201514
9 202314
10 201812
11 202110
12 20179
13 20178
14 20248
15 20177
16 20176
17 20235
18 20244
19 20234
20 20214

About Daniel J. Elson

Daniel J. Elson is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computer Networks and Communications, Artificial Intelligence and Biomedical Engineering, having authored 45 papers that have together received 371 indexed citations. Recurring topics across this work include Optical Network Technologies (42 papers), Advanced Photonic Communication Systems (31 papers), Advanced Optical Network Technologies (13 papers), Semiconductor Lasers and Optical Devices (12 papers), Photonic and Optical Devices (8 papers), Advanced Fiber Laser Technologies (6 papers), Photonic Crystal and Fiber Optics (6 papers) and Error Correcting Code Techniques (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (354 citations), Acoustics and Ultrasonics (2 citations), Atomic and Molecular Physics, and Optics (52 citations), Computer Networks and Communications (40 citations) and Biophysics (2 citations). Daniel J. Elson has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Lídia Galdino, Polina Bayvel, Robert I. Killey, Benn C. Thomsen, Domaniç Lavery, Gabriel Saavedra, Kai Shi, Daniel Semrau, Yuta Wakayama and Noboru Yoshikane. Their work appears in journals such as Journal of Lightwave Technology, IEEE Photonics Technology Letters, Optics Letters, Journal of Optical Communications and Networking and Optics Express.

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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