Daniel Bothner

1.1k citations
47 papers · 1.0k · h-index 19

Impact in

Papers in

Daniel Bothner

45 papers receiving 1.0k citations

Peers

Daniel Bothner
Comparison fields: 5 of 13
  • Atomic and Molecular Physics, and Optics 317
  • Condensed Matter Physics 116
  • Biophysics 37
  • Artificial Intelligence 181
  • Astronomy and Astrophysics 60
Replace Alexey K. Feofanov with:
Alexey K. Feofanov Switzerland
Alexander V. Lukashenko Germany
T. Lindström United Kingdom
Florian R. Ong France
Christoph W. Zollitsch United Kingdom
Adam Sears United States
Patrick Winkel Germany
Alex Hayat Israel
Clemens Müller Switzerland
P. J. Meeson United Kingdom
Daniel Bothner relative to Alexey K. Feofanov Switzerland Alexey K. Feofanov's profile →
Citations per field
00.5×2×4×5.3×
Alexey K. Feofanov · 1×
Citations per year

Countries citing papers authored by Daniel Bothner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bothner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201782
2 201378
3 201761
4 201158
5 201756
6 201255
7 201953
8 201243
9 201540
10 202039
11
Multi-mode ultra-strong coupling in circuit quantum electrodynamics
201738
12 201337
13 201035
14 200933
15 202030
16 201727
17 201524
18 202224
19 202221
20 201116

About Daniel Bothner

Daniel Bothner is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Astronomy and Astrophysics, Biophysics and Artificial Intelligence, having authored 47 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mechanical and Optical Resonators (11 papers), Superconducting and THz Device Technology (7 papers), Quantum Information and Cryptography (6 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers), Physics of Superconductivity and Magnetism (5 papers), Electron Spin Resonance Studies (3 papers), Electronic and Structural Properties of Oxides (1 paper) and Rare-earth and actinide compounds (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (317 citations), Condensed Matter Physics (116 citations), Biophysics (37 citations), Artificial Intelligence (181 citations) and Astronomy and Astrophysics (60 citations). Daniel Bothner has collaborated with scholars based in Germany, Netherlands and India. Frequent co-authors include Gary A. Steele, D. Koelle, Reinhold Kleiner, Mario F. Gely, Sal J. Bosman, M. Kemmler, Vibhor Singh, Alessandro Bruno, Martin Dressel and Ya. M. Blanter. Their work appears in journals such as Physical Review Applied, Nature Communications, Applied Physics Letters, Physical Review Letters and Physical Review 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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