David S. Millar

1.7k citations
97 papers · 1.2k · h-index 18

Impact in

Papers in

David S. Millar

91 papers receiving 1.2k citations

Peers

David S. Millar
Comparison fields: 5 of 37
  • Electrical and Electronic Engineering 1.1k
  • Computer Networks and Communications 241
  • Atomic and Molecular Physics, and Optics 179
  • Signal Processing 32
  • Computational Theory and Mathematics 28
Replace Junho Cho with:
Junho Cho United States
Luca Barletta Italy
Norbert Hanik Germany
Fabian Steiner Germany
Wim van Etten Netherlands
Adolf Finger Germany
Milorad Cvijetić United States
A. Spalvieri Italy
Matthew G. Parker Norway
Juan José Vegas Olmos Denmark
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Citations per field
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Citations per year

Countries citing papers authored by David S. Millar

Since Specialization
Citations

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

Fields of papers citing papers by David S. Millar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012100
2 201091
3 201484
4 201681
5 201872
6 201242
7 201136
8 201736
9 201135
10 201130
11 201528
12 201027
13 201423
14 201823
15 201021
16 202019
17 201517
18 201417
19 198416
20 201415

About David S. Millar

David S. Millar is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Atomic and Molecular Physics, and Optics, Signal Processing and Artificial Intelligence, having authored 97 papers that have together received 1.2k indexed citations. Recurring topics across this work include Optical Network Technologies (83 papers), Advanced Photonic Communication Systems (41 papers), Error Correcting Code Techniques (24 papers), Advanced Wireless Communication Techniques (19 papers), Photonic and Optical Devices (18 papers), Advanced Optical Network Technologies (13 papers), Semiconductor Lasers and Optical Devices (11 papers) and Advanced Fiber Laser Technologies (9 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.1k citations), Computer Networks and Communications (241 citations), Atomic and Molecular Physics, and Optics (179 citations), Signal Processing (32 citations) and Computational Theory and Mathematics (28 citations). David S. Millar has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Kieran Parsons, Keisuke Kojima, Toshiaki Koike–Akino, Seb J. Savory, Polina Bayvel, Benn C. Thomsen, Robert Maher, Domaniç Lavery, Sergejs Makovejs and Robert I. Killey. Their work appears in journals such as Journal of Lightwave Technology, Optics Express, IEEE Photonics Technology Letters, IEEE Transactions on Communications and IEEE Journal of Selected Topics in Quantum Electronics.

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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