Karl Vogel

28 papers receiving 1.7k citations

Hit Papers

Determination of quasiprobability distributions in terms ...19892026200120131989250500750

Peers

Karl Vogel
Comparison fields: 5 of 55
  • Atomic and Molecular Physics, and Optics 1.6k
  • Artificial Intelligence 1.3k
  • Statistical and Nonlinear Physics 289
  • Electrical and Electronic Engineering 85
  • Computer Networks and Communications 68
Replace P. Tombesi with:
P. Tombesi Italy
Alfredo Luis Spain
A. B. Klimov Mexico
W. M. Itano United States
David Stoler United States
C. L. Mehta India
W. P. Schleich Germany
Krzysztof Wódkiewicz United States
S. J. van Enk United States
Justin Dressel United States
Karl Vogel relative to P. Tombesi Italy P. Tombesi's profile →
Citations per field
00.5×1.5×
P. Tombesi · 1×
Citations per year

Countries citing papers authored by Karl Vogel

Since Specialization
Citations

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

Fields of papers citing papers by Karl Vogel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Vogel

This figure shows the co-authorship network connecting the top 25 collaborators of Karl Vogel. A scholar is included among the top collaborators of Karl Vogel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karl Vogel. Karl Vogel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 8
3 8
4 34
5 52
6 2
7 1
8 278
9 37
10 33
11 70
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A source code generator for C: a language-independent means of building programs that are consistent, elegant, and fast
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13 27
14 11
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Determination of quasiprobability distributions in terms of probability distributions for the rotated quadrature phasebreakdown →
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16 7
17 16
18 15
19 24
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Kant und die Paradoxien der Vielheit : die Monadenlehre in Kants philosophischer Entwicklung bis zum Antinomienkapitel der "Kritik der reinen Vernunft"
1

About Karl Vogel

Karl Vogel is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (17 papers), Cold Atom Physics and Bose-Einstein Condensates (7 papers) and Quantum Mechanics and Applications (7 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.6k citations), Artificial Intelligence (1.3k citations) and Statistical and Nonlinear Physics (289 citations). Karl Vogel has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include H. Risken, Wolfgang P. Schleich, V. M. Akulin, W. P. Schleich, Matthias Freyberger, Marlan O. Scully, H. Walther, Michael Schröder, Thomas G. Wong and D. F. Walls. Their work appears in journals such as Physical Review Letters, Journal of Applied Physics 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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