Daniel McNulty

406 total citations
19 papers, 242 citations indexed

About

Daniel McNulty is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Spectroscopy. According to data from OpenAlex, Daniel McNulty has authored 19 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atomic and Molecular Physics, and Optics, 9 papers in Artificial Intelligence and 6 papers in Spectroscopy. Recurrent topics in Daniel McNulty's work include Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (8 papers) and Spectroscopy and Laser Applications (6 papers). Daniel McNulty is often cited by papers focused on Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (8 papers) and Spectroscopy and Laser Applications (6 papers). Daniel McNulty collaborates with scholars based in United Kingdom, United States and Austria. Daniel McNulty's co-authors include Stefan Weigert, Michael K. Connors, Federico Capasso, Benedikt Schwarz, Tobias S. Mansuripur, Christine A. Wang, L.J. Missaggia, Paul Chevalier, G. Strasser and Jeffrey G. Cederberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Physical Review A.

In The Last Decade

Daniel McNulty

18 papers receiving 231 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 McNulty United Kingdom 9 117 115 97 88 37 19 242
Hai-Woong Lee South Korea 9 68 0.6× 286 2.5× 57 0.6× 207 2.4× 18 0.5× 16 353
A. Goncharov Russia 11 153 1.3× 435 3.8× 157 1.6× 25 0.3× 14 0.4× 53 496
Takashi Sato Japan 7 32 0.3× 56 0.5× 43 0.4× 20 0.2× 13 0.4× 21 174
Juan Mauricio Torres Mexico 10 20 0.2× 239 2.1× 9 0.1× 152 1.7× 3 0.1× 38 296
A. Van Lerberghe France 10 110 0.9× 325 2.8× 160 1.6× 14 0.2× 30 0.8× 15 397
Yuri Khodorkovsky Israel 9 49 0.4× 373 3.2× 143 1.5× 71 0.8× 8 0.2× 12 393
Jin-Long Peng Taiwan 11 102 0.9× 327 2.8× 61 0.6× 42 0.5× 6 0.2× 29 337
D. R. Meacher United Kingdom 13 48 0.4× 418 3.6× 143 1.5× 80 0.9× 15 0.4× 19 484
Martin Zeppenfeld Germany 11 34 0.3× 502 4.4× 151 1.6× 75 0.9× 15 0.4× 22 521
Fu-Ming Guo China 15 71 0.6× 548 4.8× 175 1.8× 32 0.4× 2 0.1× 74 588

Countries citing papers authored by Daniel McNulty

Since Specialization
Citations

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

Fields of papers citing papers by Daniel McNulty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel McNulty

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

All Works

19 of 19 papers shown
1.
McNulty, Daniel, et al.. (2025). A simple and efficient joint measurement strategy for estimating fermionic observables and Hamiltonians. npj Quantum Information. 11(1). 2 indexed citations
2.
McNulty, Daniel & Stefan Weigert. (2025). Comment on ‘Product states and Schmidt rank of mutually unbiased bases in dimension six’. Journal of Physics A Mathematical and Theoretical. 58(16). 168001–168001.
3.
McNulty, Daniel & Stefan Weigert. (2024). Mutually Unbiased Bases in Composite Dimensions -- A Review. arXiv (Cornell University). 2 indexed citations
4.
McNulty, Daniel, et al.. (2023). Estimating Quantum Hamiltonians via Joint Measurements of Noisy Noncommuting Observables. Physical Review Letters. 130(10). 100801–100801. 8 indexed citations
5.
Kiukas, Jukka, Daniel McNulty, & Juha-Pekka Pellonpää. (2022). Amount of quantum coherence needed for measurement incompatibility. Physical review. A. 105(1). 6 indexed citations
6.
Bae, Joonwoo, Anindita Bera, Dariusz Chruściński, Beatrix C. Hiesmayr, & Daniel McNulty. (2022). How many mutually unbiased bases are needed to detect bound entangled states?. Journal of Physics A Mathematical and Theoretical. 55(50). 505303–505303. 11 indexed citations
7.
Piccardo, Marco, Michele Tamagnone, Benedikt Schwarz, et al.. (2019). Radio frequency transmitter based on a laser frequency comb. Proceedings of the National Academy of Sciences. 116(19). 9181–9185. 20 indexed citations
8.
Schwarz, Benedikt, Christine A. Wang, L.J. Missaggia, et al.. (2017). Watt-Level Continuous-Wave Emission from a Bifunctional Quantum Cascade Laser/Detector. ACS Photonics. 4(5). 1225–1231. 45 indexed citations
9.
Wang, Christine A., Benedikt Schwarz, Dominic F. Siriani, et al.. (2017). MOVPE Growth of LWIR AlInAs/GaInAs/InP Quantum Cascade Lasers: Impact of Growth and Material Quality on Laser Performance. IEEE Journal of Selected Topics in Quantum Electronics. 23(6). 1–13. 31 indexed citations
10.
Grassl, Markus, Daniel McNulty, Ladislav Mišta, & Tomasz Paterek. (2017). Small sets of complementary observables. Physical review. A. 95(1). 4 indexed citations
11.
McNulty, Daniel, et al.. (2016). Mutually unbiased product bases for multiple qudits. Journal of Mathematical Physics. 57(3). 8 indexed citations
12.
Wang, C.A., Benedikt Schwarz, Dominic F. Siriani, et al.. (2016). Sensitivity of heterointerfaces on emission wavelength of quantum cascade lasers. Journal of Crystal Growth. 464. 215–220. 21 indexed citations
13.
Siriani, Dominic F., J.P. Donnelly, Michael K. Connors, et al.. (2015). Sensitivity of quantum cascade laser performance to thickness and doping variations. Journal of Crystal Growth. 452. 263–267. 1 indexed citations
14.
McNulty, Daniel, et al.. (2014). Nonexistence of entangled continuous-variable Werner states with positive partial transpose. Physical Review A. 89(3). 3 indexed citations
15.
Mišta, Ladislav, Daniel McNulty, & Gerardo Adesso. (2014). No-activation theorem for Gaussian nonclassical correlations by Gaussian operations. Physical Review A. 90(2). 7 indexed citations
16.
McNulty, Daniel & Stefan Weigert. (2012). ON THE IMPOSSIBILITY TO EXTEND TRIPLES OF MUTUALLY UNBIASED PRODUCT BASES IN DIMENSION SIX. International Journal of Quantum Information. 10(5). 1250056–1250056. 16 indexed citations
17.
Wang, C.A., Anish K. Goyal, S. Menzel, et al.. (2012). High power (>5W) λ∼9.6μm tapered quantum cascade lasers grown by OMVPE. Journal of Crystal Growth. 370. 212–216. 12 indexed citations
18.
McNulty, Daniel & Stefan Weigert. (2012). All mutually unbiased product bases in dimension 6. Journal of Physics A Mathematical and Theoretical. 45(13). 135307–135307. 19 indexed citations
19.
McNulty, Daniel & Stefan Weigert. (2012). The limited role of mutually unbiased product bases in dimension 6. Journal of Physics A Mathematical and Theoretical. 45(10). 102001–102001. 26 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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