Julian Büchel
- Electrical and Electronic Engineering
- Artificial Intelligence
- Cellular and Molecular Neuroscience
- Materials Chemistry
- Computer Vision and Pattern Recognition
- Co-authors
- Abu SebastianManuel Le GalloCorey LammieVijay NarayananBenedikt KerstingTimothy M. PhilipKevin BrewNicole Saulnier
- Topics
- Advanced Memory and Neural Computing (14 papers)Ferroelectric and Negative Capacitance Devices (10 papers)Neural Networks and Reservoir Computing (5 papers)
- Cited by
- Electrical and Electronic EngineeringArtificial IntelligenceCellular and Molecular Neuroscience
- Journals
- NatureNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- SwitzerlandUnited StatesNetherlands
In The Last Decade
Julian Büchel
12 papers receiving 95 citations
Peers
Comparison fields: 5 of 18
- Electrical and Electronic Engineering 83
- Artificial Intelligence 40
- Cellular and Molecular Neuroscience 14
- Materials Chemistry 14
- Computer Vision and Pattern Recognition 7
Countries citing papers authored by Julian Büchel
This map shows the geographic impact of Julian Büchel'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 Julian Büchel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian Büchel more than expected).
Fields of papers citing papers by Julian Büchel
This network shows the impact of papers produced by Julian Büchel. 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 Julian Büchel. The network helps show where Julian Büchel may publish in the future.
Co-authorship network of co-authors of Julian Büchel
This figure shows the co-authorship network connecting the top 25 collaborators of Julian Büchel. A scholar is included among the top collaborators of Julian Büchel 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 Julian Büchel. Julian Büchel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 27 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 20 | |
| 14 | 10 |
About Julian Büchel
Julian Büchel is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 14 papers that have together received 96 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (14 papers), Ferroelectric and Negative Capacitance Devices (10 papers) and Neural Networks and Reservoir Computing (5 papers). The work is most often cited by research in Electrical and Electronic Engineering (83 citations), Artificial Intelligence (40 citations) and Cellular and Molecular Neuroscience (14 citations). Julian Büchel has collaborated with scholars based in Switzerland, United States and Netherlands. Frequent co-authors include Abu Sebastian, Manuel Le Gallo, Corey Lammie, Vijay Narayanan, Benedikt Kersting, Timothy M. Philip, Kevin Brew, Nicole Saulnier, Malte J. Rasch and Hsinyu Tsai. Their work appears in journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.
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.