Daniel Ljunggren

648 total citations
11 papers, 440 citations indexed

About

Daniel Ljunggren is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel Ljunggren has authored 11 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atomic and Molecular Physics, and Optics, 8 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Daniel Ljunggren's work include Quantum Information and Cryptography (8 papers), Photonic and Optical Devices (4 papers) and Quantum Computing Algorithms and Architecture (4 papers). Daniel Ljunggren is often cited by papers focused on Quantum Information and Cryptography (8 papers), Photonic and Optical Devices (4 papers) and Quantum Computing Algorithms and Architecture (4 papers). Daniel Ljunggren collaborates with scholars based in Sweden, Romania and United Kingdom. Daniel Ljunggren's co-authors include Anders Karlsson, Axel Kuhn, Maria Tengner, Mohamed Bourennane, Peter B. R. Nisbet-Jones, Per Jönsson, Philip A. Marsden, Matthew Pelton, Tedros Tsegaye and Carlota Canalias and has published in prestigious journals such as Physical Review A, Optics Express and New Journal of Physics.

In The Last Decade

Daniel Ljunggren

10 papers receiving 412 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Ljunggren Sweden 8 389 339 96 28 19 11 440
S. Tanzilli France 6 393 1.0× 260 0.8× 217 2.3× 28 1.0× 9 0.5× 10 441
Jan Peřina Czechia 13 478 1.2× 357 1.1× 98 1.0× 25 0.9× 14 0.7× 48 521
Maria Tengner Sweden 5 300 0.8× 270 0.8× 77 0.8× 14 0.5× 16 0.8× 6 340
Yuri T. Mazurenko United States 12 342 0.9× 183 0.5× 197 2.1× 17 0.6× 12 0.6× 23 427
Niko Viggianiello Italy 6 187 0.5× 272 0.8× 111 1.2× 9 0.3× 15 0.8× 10 331
Karina Garay-Palmett Mexico 11 332 0.9× 179 0.5× 246 2.6× 17 0.6× 20 1.1× 31 396
Offir Cohen United States 8 494 1.3× 325 1.0× 356 3.7× 21 0.8× 27 1.4× 17 580
Neil Corzo United States 11 489 1.3× 342 1.0× 88 0.9× 9 0.3× 13 0.7× 13 527
Vincenzo Tamma United Kingdom 13 278 0.7× 293 0.9× 71 0.7× 28 1.0× 23 1.2× 47 396
Tomohisa Nagata Japan 3 474 1.2× 452 1.3× 114 1.2× 14 0.5× 25 1.3× 3 585

Countries citing papers authored by Daniel Ljunggren

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ljunggren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Ljunggren

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Ljunggren. A scholar is included among the top collaborators of Daniel Ljunggren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Ljunggren. Daniel Ljunggren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Nisbet-Jones, Peter B. R., et al.. (2011). Highly efficient source for indistinguishable single photons of controlled shape. New Journal of Physics. 13(10). 103036–103036. 57 indexed citations
2.
Kuhn, Axel & Daniel Ljunggren. (2010). Cavity-based single-photon sources. Contemporary Physics. 51(4). 289–313. 64 indexed citations
3.
Sauge, Sébastien, et al.. (2007). Narrowband polarization-entangled photon pairs distributed over a WDM link for qubit networks. 1–1. 2 indexed citations
4.
Ljunggren, Daniel, Maria Tengner, Philip A. Marsden, & Matthew Pelton. (2006). Theory and experiment of entanglement in a quasi-phase-matched two-crystal source. Physical Review A. 73(3). 17 indexed citations
5.
Ljunggren, Daniel & Maria Tengner. (2005). Optimal focusing for maximal collection of entangled narrow-band photon pairs into single-mode fibers. Physical Review A. 72(6). 68 indexed citations
6.
Pelton, Matthew, Philip A. Marsden, Daniel Ljunggren, et al.. (2004). Bright, single-spatial-mode source of frequency non-degenerate, polarization-entangled photon pairs using periodically poled KTP. Optics Express. 12(15). 3573–3573. 53 indexed citations
8.
Bourennane, Mohamed, et al.. (2000). Experimental long wavelength quantum cryptography: From single-photon transmission to key extraction protocols. Journal of Modern Optics. 47(2-3). 563–579. 22 indexed citations
9.
Ljunggren, Daniel, Mohamed Bourennane, & Anders Karlsson. (2000). Authority-based user authentication in quantum key distribution. Physical Review A. 62(2). 82 indexed citations
10.
Bourennane, Mohamed, et al.. (2000). Experimental long wavelength quantum cryptography: from single-photon transmission to key extraction protocols. Journal of Modern Optics. 47(2-3). 563–579. 2 indexed citations
11.
Bourennane, Mohamed, et al.. (1999). Experiments on long wavelength (1550 nm) "plug and play" quantum cryptography systems. Optics Express. 4(10). 383–383. 73 indexed citations

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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