Nicolas Behr

22 papers receiving 471 citations

Peers

Nicolas Behr
Comparison fields: 5 of 59
  • Biophysics 71
  • Electronic, Optical and Magnetic Materials 194
  • Structural Biology 9
  • Biomedical Engineering 252
  • Atomic and Molecular Physics, and Optics 175
Replace Jia Huang with:
Jia Huang China
Anne Harth Germany
M. Al-Amri Saudi Arabia
Rikizo Ikuta Japan
Henk F. Arnoldus United States
Christoph Schaeff Austria
Svetlana G. Lukishova United States
Kayn A. Forbes United Kingdom
Luı́s E. E. de Araujo Brazil
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Citations per year

Countries citing papers authored by Nicolas Behr

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Behr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Nicolas Behr, 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 Nicolas Behr Line = papers co-authored together Nicolas Behr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006219
2
Conference on Lasers and Electro-Optics/Quantum Electronics and Laser Science Conference and Photonic Applications Systems Technologies
200693
3 200885
4 200723
5 20217
6 20207
7 20167
8 20167
9 20186
10 20206
11 20204
12 20194
13
20144
14 20104
15 20192
16 20202
17
Holography as a highly efficient RG flow: Part 1
20151
18 20061
19 20151
20 20221

About Nicolas Behr

Nicolas Behr is a scholar working on Artificial Intelligence, Biomedical Engineering, Statistical and Nonlinear Physics, Software and Nuclear and High Energy Physics, having authored 23 papers that have together received 486 indexed citations. Recurring topics across this work include Black Holes and Theoretical Physics (4 papers), Model-Driven Software Engineering Techniques (4 papers), Near-Field Optical Microscopy (4 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Advanced Database Systems and Queries (3 papers), Plasmonic and Surface Plasmon Research (3 papers), Cosmology and Gravitation Theories (3 papers) and Logic, programming, and type systems (3 papers). The work is most often cited by research in Biophysics (71 citations), Electronic, Optical and Magnetic Materials (194 citations), Structural Biology (9 citations), Biomedical Engineering (252 citations) and Atomic and Molecular Physics, and Optics (175 citations). Nicolas Behr has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Markus B. Raschke, Catalin C. Neacsu, J. Dreyer, Ayan Mukhopadhyay, Paweł Sobociński, Jean Krivine, Stanislav Kuperstein, Vincent Danos, Anatoly Konechny and Stefan Fredenhagen. Their work appears in journals such as Physical Review B, Physical review. D, Journal of High Energy Physics, The Journal of Physical Chemistry C and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

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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