M. Ejrnæs

1.1k total citations
77 papers, 799 citations indexed

About

M. Ejrnæs is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, M. Ejrnæs has authored 77 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Atomic and Molecular Physics, and Optics, 27 papers in Artificial Intelligence and 25 papers in Condensed Matter Physics. Recurrent topics in M. Ejrnæs's work include Quantum Information and Cryptography (27 papers), Physics of Superconductivity and Magnetism (25 papers) and Atomic and Subatomic Physics Research (14 papers). M. Ejrnæs is often cited by papers focused on Quantum Information and Cryptography (27 papers), Physics of Superconductivity and Magnetism (25 papers) and Atomic and Subatomic Physics Research (14 papers). M. Ejrnæs collaborates with scholars based in Italy, China and Japan. M. Ejrnæs's co-authors include R. Cristiano, S. Pagano, A. Casaburi, L. Parlato, R. Leoni, F. Mattioli, A. Gaggero, Orlando Quaranta, M. Ohkubo and Giovanni Piero Pepe and has published in prestigious journals such as Applied Physics Letters, Physical Review B and Scientific Reports.

In The Last Decade

M. Ejrnæs

74 papers receiving 772 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Ejrnæs Italy 16 446 292 208 201 156 77 799
N. Kaurova Russia 15 315 0.7× 237 0.8× 355 1.7× 165 0.8× 61 0.4× 62 711
L. Parlato Italy 18 400 0.9× 416 1.4× 196 0.9× 121 0.6× 39 0.3× 99 762
Roman Sobolewski United States 3 603 1.4× 234 0.8× 535 2.6× 419 2.1× 65 0.4× 4 1.1k
B. M. Voronov Russia 14 487 1.1× 376 1.3× 608 2.9× 256 1.3× 84 0.5× 74 1.1k
A. Dzardanov Russia 5 619 1.4× 267 0.9× 575 2.8× 437 2.2× 66 0.4× 9 1.2k
A. Divochiy Russia 13 501 1.1× 109 0.4× 360 1.7× 430 2.1× 72 0.5× 41 871
Daiji Fukuda Japan 16 476 1.1× 172 0.6× 419 2.0× 446 2.2× 39 0.3× 97 1.0k
Bruce Bumble United States 13 356 0.8× 338 1.2× 199 1.0× 149 0.7× 19 0.1× 37 713
M. Hofherr Germany 13 236 0.5× 149 0.5× 228 1.1× 140 0.7× 28 0.2× 25 463
Andrew D. Beyer United States 17 625 1.4× 88 0.3× 526 2.5× 367 1.8× 51 0.3× 72 1.2k

Countries citing papers authored by M. Ejrnæs

Since Specialization
Citations

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

Fields of papers citing papers by M. Ejrnæs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Ejrnæs

This figure shows the co-authorship network connecting the top 25 collaborators of M. Ejrnæs. A scholar is included among the top collaborators of M. Ejrnæs 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 M. Ejrnæs. M. Ejrnæs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cirillo, C., M. Ejrnæs, A. Cassinese, et al.. (2024). Single photon detection up to 2 µm in pair of parallel microstrips based on NbRe ultrathin films. Scientific Reports. 14(1). 20345–20345. 3 indexed citations
2.
Giancamillo, M. Di, Chengjun Zhang, M. Ejrnæs, et al.. (2024). High Performance Superconducting Nanowire Single Photon Detectors for QKD Applications. IEEE Transactions on Applied Superconductivity. 34(3). 1–5. 1 indexed citations
3.
Leo, Antonio, M. Ejrnæs, L. Parlato, et al.. (2024). Characterization of quasiparticle relaxation times in microstrips of NbReN for perspective applications for superconducting single-photon detectors. Materials Science and Engineering B. 304. 117376–117376. 5 indexed citations
4.
Zhang, Chengjun, M. Ejrnæs, Jia Huang, et al.. (2023). Optimal configuration of a superconducting photon number resolving detector. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 29–29. 2 indexed citations
5.
Cirillo, C., M. Ejrnæs, L. Parlato, et al.. (2023). Vortex Motion Study of Oxidised Superconducting NbRe Microstrips. IEEE Transactions on Applied Superconductivity. 34(3). 1–5. 1 indexed citations
6.
Cirillo, C., M. Ejrnæs, A. Cassinese, et al.. (2023). Investigation of dark count rate in NbRe microstrips for single photon detection. Superconductor Science and Technology. 36(10). 105011–105011. 7 indexed citations
7.
Ejrnæs, M., L. Parlato, Hao Li, et al.. (2023). BB84 decoy-state QKD protocol over long-distance optical fiber. INO Open Portal. 1–4.
8.
Ejrnæs, M., C. Cirillo, A. Cassinese, et al.. (2022). Single photon detection in NbRe superconducting microstrips. Applied Physics Letters. 121(26). 21 indexed citations
9.
Ejrnæs, M., A. Gaggero, F. Mattioli, et al.. (2022). Activation Energies in MoSi/Al Superconducting Nanowire Single-Photon Detectors. Physical Review Applied. 18(1). 11 indexed citations
10.
Boselli, Antonella, Alessia Sannino, L. Parlato, et al.. (2021). Demonstration of Atmospheric Lidar Measurement in the Infrared Wavelength Domain with a Superconducting Nanowire Single Photon Detector. Chemical engineering transactions. 84. 175–180. 5 indexed citations
11.
Ejrnæs, M., L. Parlato, D. Massarotti, et al.. (2019). Superconductor to resistive state switching by multiple fluctuation events in NbTiN nanostrips. Scientific Reports. 9(1). 8053–8053. 23 indexed citations
12.
Casaburi, A., et al.. (2015). Experimental evidence of photoinduced vortex crossing in current carrying superconducting strips. Physical Review B. 92(21). 7 indexed citations
13.
Cristiano, R., M. Ejrnæs, A. Casaburi, Nobuyuki Zen, & M. Ohkubo. (2015). Superconducting nano-strip particle detectors. Superconductor Science and Technology. 28(12). 124004–124004. 14 indexed citations
14.
Ohkubo, M., Masahiro Ukibe, Shigetomo Shiki, et al.. (2012). Superconducting Molecule Detectors Overcoming Fundamental Limits of Conventional Mass Spectrometry. Journal of Low Temperature Physics. 167(5-6). 943–948. 4 indexed citations
15.
Ejrnæs, M., A. Casaburi, R. Cristiano, et al.. (2009). Maximum count rate of large area superconducting single photon detectors. Journal of Modern Optics. 56(2-3). 390–394. 17 indexed citations
16.
Ejrnæs, M., A. Casaburi, R. Cristiano, et al.. (2009). Timing jitter of cascade switch superconducting nanowire single photon detectors. Applied Physics Letters. 95(13). 15 indexed citations
17.
Cristiano, R., M. Ejrnæs, E. Esposito, et al.. (2006). Nonequilibrium superconducting detectors. Superconductor Science and Technology. 19(3). S152–S159. 2 indexed citations
18.
Testa, Gianluca, E. Sarnelli, E. Esposito, et al.. (2005). Evidence of midgap-state-mediated transport in 45° symmetric [001] tiltYBa2Cu3O7xbicrystal grain-boundary junctions. Physical Review B. 71(13). 38 indexed citations
19.
Ejrnæs, M., et al.. (2002). Microwave induced co-tunneling in single electron tunneling transistors. Physica C Superconductivity. 372-376. 1353–1355. 4 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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