Daniel Huber

1.9k citations
26 papers · 1.3k · h-index 17

Impact in

Papers in

Daniel Huber

25 papers receiving 1.3k citations

Peers

Daniel Huber
Comparison fields: 5 of 61
  • Atomic and Molecular Physics, and Optics 1.1k
  • Statistical and Nonlinear Physics 198
  • Artificial Intelligence 468
  • Spectroscopy 138
  • Electrical and Electronic Engineering 407
Replace L. P. Yatsenko with:
L. P. Yatsenko Ukraine
Paweł Machnikowski Poland
Jonathan Baugh Canada
I. Bar‐Joseph Israel
Joachim Ankerhold Germany
Jinshuang Jin China
F. A. M. de Oliveira Brazil
Daniela Pfannkuche Germany
Victor N. Zadkov Russia
Nadia Belabas France
Daniel Huber relative to L. P. Yatsenko Ukraine L. P. Yatsenko's profile →
Citations per field
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L. P. Yatsenko · 1×
Citations per year

Countries citing papers authored by Daniel Huber

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Huber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017197
2 2018140
3 1987137
4 2021105
5 198899
6 201590
7 201783
8 198867
9 198865
10 198951
11 201850
12 201946
13 201738
14 198526
15 201725
16 201924
17 201421
18 201515
19 198712
20 20158

About Daniel Huber

Daniel Huber is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (10 papers), Semiconductor Quantum Structures and Devices (8 papers), Quantum chaos and dynamical systems (7 papers), Advanced Chemical Physics Studies (7 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Semiconductor Lasers and Optical Devices (3 papers), Quantum and electron transport phenomena (3 papers) and Quantum Mechanics and Applications (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.1k citations), Statistical and Nonlinear Physics (198 citations), Artificial Intelligence (468 citations), Spectroscopy (138 citations) and Electrical and Electronic Engineering (407 citations). Daniel Huber has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Eric J. Heller, Armando Rastelli, Marcus Reindl, Rinaldo Trotta, Yong-Heng Huo, Huiying Huang, Christian Schimpf, Oliver G. Schmidt, Johannes S. Wildmann and Robert G. Littlejohn. Their work appears in journals such as The Journal of Chemical Physics, Physical review. B., Nature Communications, Nano Letters and Molecular Physics.

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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