David Groß

69 papers receiving 3.5k citations

Hit Papers

Efficient quantum state tomography 2010 · 420 citations
4200+10+21Years since publication200400600

Peers

David Groß
Comparison fields: 5 of 164
  • Acoustics and Ultrasonics 54
  • Artificial Intelligence 1.6k
  • Atomic and Molecular Physics, and Optics 1.4k
  • Computational Mathematics 21
  • Physiology 518
Replace Giuseppe Vallone with:
Giuseppe Vallone Italy
K. Hepp Switzerland
Keiji Saito Japan
O. Buneman United States
Wei-Min Zhang China
Paul Mandel Belgium
Pierre Mathieu Canada
Yaodong Li China
Dror Baron United States
Ying Wu China
David Groß relative to Giuseppe Vallone Italy Giuseppe Vallone's profile →
Citations per field
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Giuseppe Vallone · 1×
Citations per year

Countries citing papers authored by David Groß

Since Specialization
Citations

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

Fields of papers citing papers by David Groß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quantum State Tomography via Compressed Sensing
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2010652
2
Induction of Alzheimer-like β-Amyloid Immunoreactivity in the Brains of Rabbits with Dietary Cholesterol
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1994454
3
Efficient quantum state tomography
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2010420
4 2012214
5 2000148
6 2000123
7 1995121
8 2000118
9 201399
10 201596
11 201888
12 202168
13
Quantitative cardiovascular studies : clinical and research applications of engineering principles
197961
14 201061
15 197459
16 201257
17 200455
18 201449
19 198942
20 198542

About David Groß

David Groß is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Biomedical Engineering, Surgery and Cellular and Molecular Neuroscience, having authored 71 papers that have together received 3.6k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (19 papers), Quantum Computing Algorithms and Architecture (17 papers), Quantum Mechanics and Applications (11 papers), Sparse and Compressive Sensing Techniques (5 papers), Cardiac and Coronary Surgery Techniques (4 papers), Alzheimer's disease research and treatments (3 papers), Estrogen and related hormone effects (3 papers) and Veterinary Pharmacology and Anesthesia (3 papers). The work is most often cited by research in Acoustics and Ultrasonics (54 citations), Artificial Intelligence (1.6k citations), Atomic and Molecular Physics, and Optics (1.4k citations), Computational Mathematics (21 citations) and Physiology (518 citations). David Groß has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Yi-Kai Liu, Steven T. Flammia, Jens Eisert, Stephen Becker, John C. Hunsaker, David L. Sparks, Stephen W. Scheff, Teresa M. Landers, Peiyong Zhai and Thomas E. Eurell. Their work appears in journals such as American Journal of Veterinary Research, Physical Review Letters, New Journal of Physics, Quantum and American Journal of Physiology-Heart and Circulatory Physiology.

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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