Gino Brunner

1.2k citations
32 papers · 644 · h-index 16

Impact in

Papers in

Gino Brunner

29 papers receiving 575 citations

Peers

Gino Brunner
Comparison fields: 5 of 98
  • Inorganic Chemistry 182
  • Computer Vision and Pattern Recognition 148
  • Signal Processing 54
  • Industrial and Manufacturing Engineering 43
  • Condensed Matter Physics 57
Replace Xintian Shi with:
Xintian Shi Switzerland
Tsutomu Ikegami Japan
Hiroshi Akiba Japan
Liangchen Chen China
Morella Sánchez Venezuela
John W. Arthur United Kingdom
Akihiro Watanabe Japan
Jiazheng Zhou China
Eric A. Lord India
Ratan Lal United States
Gino Brunner relative to Xintian Shi Switzerland Xintian Shi's profile →
Citations per field
00.5×10×13.5×
Xintian Shi · 1×
Citations per year

Countries citing papers authored by Gino Brunner

Since Specialization
Citations

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

Fields of papers citing papers by Gino Brunner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Gino Brunner, 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 Gino Brunner Line = papers co-authored together Gino Brunner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197174
2 201962
3 197156
4 201845
5 197942
6 199636
7 197733
8 196132
9 201826
10 201925
11
On Identifiability in Transformers
202024
12 199224
13 197117
14
Light scattering of heat-treated quartz in relation to hydrogen-containing defects
196917
15 197816
16 201816
17 199315
18 199014
19 199314
20 198113

About Gino Brunner

Gino Brunner is a scholar working on Inorganic Chemistry, Computer Vision and Pattern Recognition, Materials Chemistry, Artificial Intelligence and Electronic, Optical and Magnetic Materials, having authored 32 papers that have together received 644 indexed citations. Recurring topics across this work include Zeolite Catalysis and Synthesis (7 papers), Metal-Organic Frameworks: Synthesis and Applications (5 papers), Crystal Structures and Properties (4 papers), Music and Audio Processing (3 papers), Robotics and Sensor-Based Localization (2 papers), Chemical Synthesis and Characterization (2 papers), Music Technology and Sound Studies (2 papers) and X-ray Diffraction in Crystallography (2 papers). The work is most often cited by research in Inorganic Chemistry (182 citations), Computer Vision and Pattern Recognition (148 citations), Signal Processing (54 citations), Industrial and Manufacturing Engineering (43 citations) and Condensed Matter Physics (57 citations). Gino Brunner has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include D. Schwarzenbach, Roger Wattenhofer, Yuyi Wang, F. Laves, Simon Tanner, N. J. A. Sloane, Ralf W. Grosse‐Kunstleve, H. Wondratschek, H. U. Bambauer and Yang Liu. Their work appears in journals such as Zeolites, Zeitschrift für Kristallographie - Crystalline Materials, Zeitschrift für Kristallographie, Review of Scientific Instruments and Sensors.

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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