G. Bartels

1.2k citations
52 papers · 825 · h-index 15

Impact in

Papers in

G. Bartels

49 papers receiving 764 citations

Peers

G. Bartels
Comparison fields: 5 of 77
  • Atomic and Molecular Physics, and Optics 403
  • Control and Systems Engineering 122
  • Artificial Intelligence 144
  • Electrical and Electronic Engineering 246
  • Computer Vision and Pattern Recognition 76
Replace J. Mallinson with:
J. Mallinson United States
Ying Yu China
Hua Shen China
S. Kobayashi Japan
A. Grunnet-Jepsen United States
David R. Selviah United Kingdom
Jeoung-Yeon Hwang South Korea
Zhihui Zou United States
G. Bartels relative to J. Mallinson United States J. Mallinson's profile →
Citations per field
00.5×4.6×
J. Mallinson · 1×
Citations per year

Countries citing papers authored by G. Bartels

Since Specialization
Citations

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

Fields of papers citing papers by G. Bartels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018113
2 197262
3 199653
4 199753
5 199850
6 198045
7 199537
8 197433
9 200931
10 199927
11 201527
12 198025
13 199525
14 197219
15 201315
16 201613
17 198113
18 197613
19 197912
20 201612

About G. Bartels

G. Bartels is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering and Computational Mechanics, having authored 52 papers that have together received 825 indexed citations. Recurring topics across this work include Semiconductor Quantum Structures and Devices (12 papers), Spectroscopy and Quantum Chemical Studies (12 papers), Robot Manipulation and Learning (9 papers), Magneto-Optical Properties and Applications (6 papers), Photorefractive and Nonlinear Optics (5 papers), Quantum and electron transport phenomena (5 papers), AI-based Problem Solving and Planning (4 papers) and Metallurgy and Material Forming (3 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (403 citations), Control and Systems Engineering (122 citations), Artificial Intelligence (144 citations), Electrical and Electronic Engineering (246 citations) and Computer Vision and Pattern Recognition (76 citations). G. Bartels has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include A. Stahl, Michael Beetz, W. Tolksdorf, V. M. Axt, Daniel Beßler, Asil Kaan Bozcuoğlu, Mihai Pomarlan, K. Köhler, U. Neukirch and Björn Haase. Their work appears in journals such as Journal of Crystal Growth, physica status solidi (b), Physical review. B, Condensed matter, IEEE Robotics and Automation Letters and Zeitschrift für Physik B Condensed Matter.

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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