Gino Brunner
- Materials Chemistry
- Inorganic Chemistry top 10%
- Computer Vision and Pattern Recognition top 5%
- Electronic, Optical and Magnetic Materials
- Artificial Intelligence
- Co-authors
- D. SchwarzenbachRoger WattenhoferYuyi WangF. LavesSimon TannerRalf W. Grosse‐KunstleveN. J. A. SloaneH. Wondratschek
- Topics
- Zeolite Catalysis and Synthesis (7 papers)Metal-Organic Frameworks: Synthesis and Applications (5 papers)Crystal Structures and Properties (4 papers)
- Cited by
- Inorganic ChemistryComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Partner nations
- SwitzerlandItalyGermany
In The Last Decade
Gino Brunner
29 papers receiving 567 citations
Peers
Comparison fields: 5 of 98
- Materials Chemistry 203
- Inorganic Chemistry 181
- Computer Vision and Pattern Recognition 145
- Electronic, Optical and Magnetic Materials 80
- Artificial Intelligence 79
Countries citing papers authored by Gino Brunner
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
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-authorship network of co-authors of Gino Brunner
This figure shows the co-authorship network connecting the top 25 collaborators of Gino Brunner. A scholar is included among the top collaborators of Gino Brunner 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 Gino Brunner. Gino Brunner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | On Identifiability in Transformers | 24 |
| 2 | On the Validity of Self-Attention as Explanation in Transformer Models | 5 |
| 3 | Natural Language Multitasking - Analyzing and Improving Syntactic Saliency of Hidden Representations | 0 |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 26 | |
| 7 | Solar Activity Monitoring - a New Approach Using Combined Datasets, Pattern Recognition and Neural Networks | 1 |
| 8 | 35 | |
| 9 | 14 | |
| 10 | 24 | |
| 11 | 12 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 13 | |
| 16 | 16 | |
| 17 | 17 | |
| 18 | 56 | |
| 19 | Light scattering of heat-treated quartz in relation to hydrogen-containing defects | 17 |
| 20 | 32 |
About Gino Brunner
Gino Brunner is a scholar working on Architecture, Inorganic Chemistry and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 638 indexed citations. Recurring topics across this work include Zeolite Catalysis and Synthesis (7 papers), Metal-Organic Frameworks: Synthesis and Applications (5 papers) and Crystal Structures and Properties (4 papers). The work is most often cited by research in Inorganic Chemistry (181 citations), Computer Vision and Pattern Recognition (145 citations) and Industrial and Manufacturing Engineering (43 citations). Gino Brunner has collaborated with scholars based in Switzerland, Italy and Germany. Frequent co-authors include D. Schwarzenbach, Roger Wattenhofer, Yuyi Wang, F. Laves, Simon Tanner, Ralf W. Grosse‐Kunstleve, N. J. A. Sloane, H. Wondratschek, H. U. Bambauer and Yang Liu. Their work appears in journals such as Sensors, Review of Scientific Instruments and Journal of Solid State Chemistry.
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.