Georges A. Darbellay
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Economics and Econometrics top 5%
- Management Science and Operations Research top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Igor VajdaJosé Haba‐RubioJ M TschoppJean‐Philippe ThiranAlda FernandesFrançois R. HerrmannPatrick RuchatRoman Sztajzel
- Topics
- Complex Systems and Time Series Analysis (4 papers)Statistical Mechanics and Entropy (3 papers)Cerebrovascular and Carotid Artery Diseases (3 papers)
- Cited by
- Management Science and Operations ResearchStatistical and Nonlinear PhysicsSignal Processing
- Partner nations
- CzechiaSwitzerlandSpain
In The Last Decade
Georges A. Darbellay
12 papers receiving 897 citations
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 238
- Electrical and Electronic Engineering 206
- Economics and Econometrics 174
- Management Science and Operations Research 170
- Statistical and Nonlinear Physics 111
Countries citing papers authored by Georges A. Darbellay
This map shows the geographic impact of Georges A. Darbellay'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 Georges A. Darbellay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georges A. Darbellay more than expected).
Fields of papers citing papers by Georges A. Darbellay
This network shows the impact of papers produced by Georges A. Darbellay. 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 Georges A. Darbellay. The network helps show where Georges A. Darbellay may publish in the future.
Co-authorship network of co-authors of Georges A. Darbellay
This figure shows the co-authorship network connecting the top 25 collaborators of Georges A. Darbellay. A scholar is included among the top collaborators of Georges A. Darbellay 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 Georges A. Darbellay. Georges A. Darbellay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 58 | |
| 2 | 23 | |
| 3 | Advances in cerebrovascular ultrasound. | 1 |
| 4 | 2 | |
| 5 | 49 | |
| 6 | 65 | |
| 7 | 104 | |
| 8 | 244 | |
| 9 | 54 | |
| 10 | 328 | |
| 11 | 7 | |
| 12 | 2 |
About Georges A. Darbellay
Georges A. Darbellay is a scholar working on Statistical and Nonlinear Physics, Signal Processing and Endocrine and Autonomic Systems, having authored 12 papers that have together received 937 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (4 papers), Statistical Mechanics and Entropy (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). The work is most often cited by research in Management Science and Operations Research (170 citations), Statistical and Nonlinear Physics (111 citations) and Signal Processing (94 citations). Georges A. Darbellay has collaborated with scholars based in Czechia, Switzerland and Spain. Frequent co-authors include Igor Vajda, José Haba‐Rubio, J M Tschopp, Jean‐Philippe Thiran, Alda Fernandes, François R. Herrmann, Patrick Ruchat, Roman Sztajzel, Carlos A. Molina and Dirk W. Droste. Their work appears in journals such as Stroke, IEEE Transactions on Information Theory and Journal of Cerebral Blood Flow & Metabolism.
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.