Daniel Nigg
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- Quantum Mechanics and Applications 7
- Quantum and electron transport phenomena 5
- Cold Atom Physics and Bose-Einstein Condensates 3
- Quantum optics and atomic interactions 2
- Artificial Intelligence top 0.2%
- Quantum Information and Cryptography 18
- Quantum Computing Algorithms and Architecture 14
- Neural Networks and Reservoir Computing 4
- Condensed Matter Physics top 5%
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- Sparse and Compressive Sensing Techniques 1
Daniel Nigg
18 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Atomic and Molecular Physics, and Optics 2.9k
- Artificial Intelligence 2.7k
- Statistical and Nonlinear Physics 326
- Condensed Matter Physics 203
- Acoustics and Ultrasonics 12
Countries citing papers authored by Daniel Nigg
This map shows the geographic impact of Daniel Nigg'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 Nigg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Nigg more than expected).
Fields of papers citing papers by Daniel Nigg
This network shows the impact of papers produced by Daniel Nigg. 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 Nigg. The network helps show where Daniel Nigg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Nigg, 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 | Real-time dynamics of lattice gauge theories with a few-qubit quantum computer | 2018 | 1 |
| 2 | 2017 | 96 | |
| 3 | Real-time dynamics of lattice gauge theories with a few-qubit quantum computerbreakdown → | 2016 | 519 |
| 4 | 2016 | 39 | |
| 5 | 2016 | 270 | |
| 6 | 2015 | 10 | |
| 7 | 2014 | 258 | |
| 8 | 2013 | 16 | |
| 9 | 2013 | 6 | |
| 10 | 2013 | 153 | |
| 11 | 2013 | 56 | |
| 12 | 2012 | 1 | |
| 13 | An open-system quantum simulator with trapped ionsbreakdown → | 2011 | 703 |
| 14 | 2011 | 2 | |
| 15 | 14-Qubit Entanglement: Creation and Coherencebreakdown → | 2011 | 773 |
| 16 | 2011 | 222 | |
| 17 | Universal Digital Quantum Simulation with Trapped Ionsbreakdown → | 2011 | 412 |
| 18 | Coherence of large-scale entanglement | 2010 | 4 |
| 19 | Quantum Logic for Precision Spectroscopy | 2009 | 0 |
About Daniel Nigg
Daniel Nigg is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Spectroscopy, having authored 19 papers that have together received 3.5k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (18 papers), Quantum Computing Algorithms and Architecture (14 papers), Quantum Mechanics and Applications (7 papers), Quantum and electron transport phenomena (5 papers), Neural Networks and Reservoir Computing (4 papers), Cold Atom Physics and Bose-Einstein Condensates (3 papers), Quantum optics and atomic interactions (2 papers) and Sparse and Compressive Sensing Techniques (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (2.9k citations), Artificial Intelligence (2.7k citations) and Statistical and Nonlinear Physics (326 citations). Daniel Nigg has collaborated with scholars based in Austria, Germany and Spain. Frequent co-authors include R. Blatt, Philipp Schindler, Thomas Monz, Markus Hennrich, Julio T. Barreiro, Michael Chwalla, P. Zoller, Markus Müller, Esteban A. Martinez and C. F. Roos. Their work appears in journals such as Science, Physical Review Letters, Nature, New Journal of Physics and Nature 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.