T. Nonn

846 citations
11 papers · 573 indexed · h-index 8

T. Nonn

9 papers receiving 544 citations

Peers

T. Nonn
Comparison fields: 5 of 69
  • Atomic and Molecular Physics, and Optics 485
  • Acoustics and Ultrasonics 13
  • Artificial Intelligence 336
  • Statistical and Nonlinear Physics 33
  • Physical and Theoretical Chemistry 22
Replace Peter R. Conwell with:
Peter R. Conwell United States
Johannes Handsteiner Austria
Adriana E. Lita United States
S. Goßler Germany
Jaehoon Bang United States
M. Araujo Brazil
Ashok K. Mohapatra India
Thai M. Hoang United States
J. R. Tredicce France
J.S. Vaishya India
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Citations per field
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Citations per year

Countries citing papers authored by T. Nonn

Since Specialization
Citations

This map shows the geographic impact of T. Nonn'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 T. Nonn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Nonn more than expected).

Fields of papers citing papers by T. Nonn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside T. Nonn, 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 T. Nonn Line = papers co-authored together T. Nonn links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Spray Droplet Size and Velocity Measurement using Light-field Velocimetry
20121
2
Single-View Volumetric PIV using High-resolution Scanning and Least Squares Matching
20110
3 201126
4 200550
5 200210
6
Size and velocity measurements with the global phase Doppler technique
20027
7 200117
8 200014
9 199950
10 1998264
11 1998134

About T. Nonn

T. Nonn is a scholar working on Computer Graphics and Computer-Aided Design, Atomic and Molecular Physics, and Optics, Physical and Theoretical Chemistry, Computational Mechanics and Ocean Engineering, having authored 11 papers that have together received 573 indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (4 papers), Fluid Dynamics and Turbulent Flows (3 papers), Cold Atom Physics and Bose-Einstein Condensates (3 papers), Quantum Mechanics and Applications (2 papers), Photochemistry and Electron Transfer Studies (2 papers), Particle Dynamics in Fluid Flows (2 papers), Quantum optics and atomic interactions (2 papers) and Atmospheric aerosols and clouds (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (485 citations), Acoustics and Ultrasonics (13 citations), Artificial Intelligence (336 citations), Statistical and Nonlinear Physics (33 citations) and Physical and Theoretical Chemistry (22 citations). T. Nonn has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Gerhard Rempe, Stephan Dürr, Taras Plakhotnik, Cameron Tropea, Holger Nobach, Nils Damaschke, Ch. Brücker, Anton Zeilinger, Jörg Schmiedmayer and Christoph A. Keller. Their work appears in journals such as Chemical Physics Letters, Physical Review Letters, Experiments in Fluids, Nature and Applied Physics B.

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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