Christopher Gies

3.4k citations
64 papers · 2.4k · h-index 25

Impact in

Papers in

Christopher Gies

63 papers receiving 2.3k citations

Peers

Christopher Gies
Comparison fields: 5 of 49
  • Acoustics and Ultrasonics 88
  • Atomic and Molecular Physics, and Optics 1.5k
  • Electrical and Electronic Engineering 1.4k
  • Materials Chemistry 917
  • Artificial Intelligence 511
Replace Glenn S. Solomon with:
Glenn S. Solomon United States
Xing Ding China
Christophe Couteau France
L. Lanco France
C. Antón Spain
Simone Luca Portalupi Germany
Klaus D. Jöns Germany
Tian Zhong United States
Niccolò Somaschi France
Ian Appelbaum United States
Christopher Gies relative to Glenn S. Solomon United States Glenn S. Solomon's profile →
Citations per field
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Glenn S. Solomon · 1×
Citations per year

Countries citing papers authored by Christopher Gies

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Gies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014192
2 2015180
3 2009165
4 2007158
5 2018132
6 2017124
7 2007120
8 2015106
9 2016106
10 2014103
11 201776
12 201670
13 201559
14 201849
15 201043
16 200642
17 201241
18 201839
19 200436
20 202234

About Christopher Gies

Christopher Gies is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Materials Chemistry, Artificial Intelligence and Biomedical Engineering, having authored 64 papers that have together received 2.4k indexed citations. Recurring topics across this work include Semiconductor Quantum Structures and Devices (34 papers), Photonic and Optical Devices (22 papers), Strong Light-Matter Interactions (15 papers), 2D Materials and Applications (14 papers), Quantum Information and Cryptography (12 papers), Semiconductor Lasers and Optical Devices (11 papers), Quantum and electron transport phenomena (11 papers) and Neural Networks and Reservoir Computing (7 papers). The work is most often cited by research in Acoustics and Ultrasonics (88 citations), Atomic and Molecular Physics, and Optics (1.5k citations), Electrical and Electronic Engineering (1.4k citations), Materials Chemistry (917 citations) and Artificial Intelligence (511 citations). Christopher Gies has collaborated with scholars based in Germany, United States and Romania. Frequent co-authors include F. Jahnke, Jan Wiersig, Alexander Steinhoff, Tim O. Wehling, Malte Rösner, Stephan Reitzenstein, Weng W. Chow, Michael Lorke, Matthias Florian and P. Gärtner. Their work appears in journals such as Physical Review B, Nano Letters, Physical Review A, Physical review. B. and Physical Review Letters.

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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