Kjeld Dalgaard

785 citations
26 papers · 542 · h-index 8

Impact in

Papers in

Kjeld Dalgaard

26 papers receiving 523 citations

Peers

Kjeld Dalgaard
Comparison fields: 5 of 27
  • Acoustics and Ultrasonics 11
  • Atomic and Molecular Physics, and Optics 356
  • Artificial Intelligence 267
  • Electrical and Electronic Engineering 302
  • Biomedical Engineering 57
Replace Amin Babazadeh with:
Amin Babazadeh Iran
F. Albert Germany
Daniele Cozzolino Denmark
Wenge Yang United States
Mhlambululi Mafu Botswana
Kirill P. Kalinin Russia
Paolo Martelli Italy
M. V. Jabir United States
Maziyar Milanizadeh Italy
Lingxiao Wan Singapore
Kjeld Dalgaard relative to Amin Babazadeh Iran Amin Babazadeh's profile →
Citations per field
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Amin Babazadeh · 1×
Citations per year

Countries citing papers authored by Kjeld Dalgaard

Since Specialization
Citations

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

Fields of papers citing papers by Kjeld Dalgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017179
2 2019164
3 201459
4 201333
5 201426
6 201913
7 20139
8 20127
9 20186
10 20145
11 20114
12 20184
13 20124
14
Fiber based high-dimensional quantum communication with twisted photons
20183
15 20113
16 20163
17 20173
18 20153
19 20173
20 20162

About Kjeld Dalgaard

Kjeld Dalgaard is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 26 papers that have together received 542 indexed citations. Recurring topics across this work include Optical Network Technologies (18 papers), Photonic and Optical Devices (14 papers), Advanced Photonic Communication Systems (13 papers), Quantum Information and Cryptography (6 papers), Quantum Computing Algorithms and Architecture (3 papers), Advanced Optical Network Technologies (2 papers), Quantum optics and atomic interactions (2 papers) and Quantum Mechanics and Applications (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (11 citations), Atomic and Molecular Physics, and Optics (356 citations), Artificial Intelligence (267 citations), Electrical and Electronic Engineering (302 citations) and Biomedical Engineering (57 citations). Kjeld Dalgaard has collaborated with scholars based in Denmark, France and United States. Frequent co-authors include Leif Katsuo Oxenløwe, Yunhong Ding, Karsten Rottwitt, Davide Bacco, Michael Galili, Xiaoqi Zhou, Xinlun Cai, Francesco Da Ros, Daniele Cozzolino and Christophe Peucheret. Their work appears in journals such as Optics Express, IEEE Photonics Technology Letters, Applied Physics Letters, npj Quantum Information and Journal of Lightwave Technology.

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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