Daniel McNulty

18 papers receiving 231 citations

Peers

Daniel McNulty
Comparison fields: 5 of 31
  • Spectroscopy 97
  • Atomic and Molecular Physics, and Optics 115
  • Artificial Intelligence 88
  • Algebra and Number Theory 12
  • Acoustics and Ultrasonics 2
Replace Hai-Woong Lee with:
Hai-Woong Lee South Korea
A. Goncharov Russia
Jin-Long Peng Taiwan
Takashi Sato Japan
Xianzhi Huang China
Yuri Khodorkovsky Israel
Martin Zeppenfeld Germany
Melissa Revelle United States
Steven J. Schowalter United States
M. Motsch Germany
Daniel McNulty relative to Hai-Woong Lee South Korea Hai-Woong Lee's profile →
Citations per field
00.5×3.3×
Hai-Woong Lee · 1×
Citations per year

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-authors

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

All Works

19 of 19 papers shown
#Work
1 201745
2 201731
3 201226
4 201621
5 201920
6 201219
7 201216
8 201212
9 202211
10 20238
11 20168
12 20147
13 20226
14 20174
15 20143
16 20242
17 20252
18 20151
19 20250

About Daniel McNulty

Daniel McNulty is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Spectroscopy, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 19 papers that have together received 242 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (8 papers), Spectroscopy and Laser Applications (6 papers), Quantum Mechanics and Applications (5 papers), Atmospheric Ozone and Climate (4 papers), graph theory and CDMA systems (3 papers), Advanced Fiber Laser Technologies (2 papers) and Polynomial and algebraic computation (2 papers). The work is most often cited by research in Spectroscopy (97 citations), Atomic and Molecular Physics, and Optics (115 citations), Artificial Intelligence (88 citations), Algebra and Number Theory (12 citations) and Acoustics and Ultrasonics (2 citations). Daniel McNulty has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Stefan Weigert, Michael K. Connors, Federico Capasso, Benedikt Schwarz, Tobias S. Mansuripur, Christine A. Wang, L.J. Missaggia, Paul Chevalier, Jeffrey G. Cederberg and G. Strasser. Their work appears in journals such as Journal of Physics A Mathematical and Theoretical, Journal of Crystal Growth, Physical review. A, Physical Review A 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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