James DiGuglielmo
Impact in
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- Quantum Mechanics and Applications
- Quantum optics and atomic interactions
- Mechanical and Optical Resonators
- Cold Atom Physics and Bose-Einstein Condensates
- Orbital Angular Momentum in Optics
- Spectroscopy and Quantum Chemical Studies
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
Papers in
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- Quantum Information and Cryptography 8
- Quantum Computing Algorithms and Architecture 4
- Gaussian Processes and Bayesian Inference 1
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- Quantum Mechanics and Applications 6
- Quantum optics and atomic interactions 2
- Spectroscopy and Quantum Chemical Studies 1
- Co-authors
- Roman Schnabel (6 shared papers)Jaromı́r Fiurášek (6 shared papers)A. Franzen (4 shared papers)Boris Hage (5 shared papers)Aiko Samblowski (4 shared papers)B. Hage (3 shared papers)Roman Schnabel (2 shared papers)Jens Eisert (1 shared paper)
In The Last Decade
James DiGuglielmo
8 papers receiving 264 citations
Peers
Comparison fields: 5 of 17
- Atomic and Molecular Physics, and Optics 256
- Artificial Intelligence 242
- Acoustics and Ultrasonics 5
- Astronomy and Astrophysics 18
- Statistical and Nonlinear Physics 13
Countries citing papers authored by James DiGuglielmo
This map shows the geographic impact of James DiGuglielmo'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 James DiGuglielmo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James DiGuglielmo more than expected).
Fields of papers citing papers by James DiGuglielmo
This network shows the impact of papers produced by James DiGuglielmo. 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 James DiGuglielmo. The network helps show where James DiGuglielmo may publish in the future.
Co-authors
The 13 scholars most cited alongside James DiGuglielmo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 75 | |
| 2 | 2006 | 64 | |
| 3 | 2007 | 35 | |
| 4 | 2011 | 33 | |
| 5 | 2009 | 26 | |
| 6 | 2007 | 23 | |
| 7 | 2010 | 8 | |
| 8 | 2009 | 3 |
About James DiGuglielmo
James DiGuglielmo is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Cognitive Neuroscience and Infectious Diseases, having authored 8 papers that have together received 267 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (8 papers), Quantum Mechanics and Applications (6 papers), Quantum Computing Algorithms and Architecture (4 papers), Quantum optics and atomic interactions (2 papers), Gaussian Processes and Bayesian Inference (1 paper), Spectroscopy and Quantum Chemical Studies (1 paper), Neural dynamics and brain function (1 paper) and Statistical Mechanics and Entropy (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (256 citations), Artificial Intelligence (242 citations), Acoustics and Ultrasonics (5 citations), Astronomy and Astrophysics (18 citations) and Statistical and Nonlinear Physics (13 citations). James DiGuglielmo has collaborated with scholars based in Germany, Czechia and Mexico. Frequent co-authors include Roman Schnabel, Jaromı́r Fiurášek, A. Franzen, Boris Hage, Aiko Samblowski, B. Hage, Roman Schnabel, Jens Eisert, Carlos Pineda and T. Kiesel. Their work appears in journals such as Physical Review Letters, Physical Review A, Nature Physics and New Journal of Physics.
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.