X. Arreguit
- Electrical and Electronic Engineering
- Biomedical Engineering
- Cognitive Neuroscience
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Co-authors
- Eric A. VittozA. MortaraJ. LazzaroCarver MeadAndré van SchaikMichael MerzH. OgueyEduardo Ros
- Topics
- CCD and CMOS Imaging Sensors (11 papers)Neuroscience and Neural Engineering (5 papers)Advanced Memory and Neural Computing (4 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceElectrical and Electronic Engineering
- Journals
- IEEE Journal of Solid-State CircuitsElectronics LettersAnalog Integrated Circuits and Signal Processing
- Partner nations
- SwitzerlandSpainFrance
In The Last Decade
X. Arreguit
14 papers receiving 299 citations
Peers
Comparison fields: 5 of 45
- Electrical and Electronic Engineering 272
- Biomedical Engineering 102
- Cognitive Neuroscience 93
- Cellular and Molecular Neuroscience 88
- Artificial Intelligence 50
Countries citing papers authored by X. Arreguit
This map shows the geographic impact of X. Arreguit'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 X. Arreguit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites X. Arreguit more than expected).
Fields of papers citing papers by X. Arreguit
This network shows the impact of papers produced by X. Arreguit. 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 X. Arreguit. The network helps show where X. Arreguit may publish in the future.
Co-authorship network of co-authors of X. Arreguit
This figure shows the co-authorship network connecting the top 25 collaborators of X. Arreguit. A scholar is included among the top collaborators of X. Arreguit 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 X. Arreguit. X. Arreguit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 23 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 10 | |
| 9 | 69 | |
| 10 | 12 | |
| 11 | 40 | |
| 12 | 0 | |
| 13 | 90 | |
| 14 | 45 | |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 11 |
About X. Arreguit
X. Arreguit is a scholar working on Instrumentation, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 17 papers that have together received 321 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (11 papers), Neuroscience and Neural Engineering (5 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (88 citations), Cognitive Neuroscience (93 citations) and Electrical and Electronic Engineering (272 citations). X. Arreguit has collaborated with scholars based in Switzerland, Spain and France. Frequent co-authors include Eric A. Vittoz, A. Mortara, J. Lazzaro, Carver Mead, André van Schaik, Michael Merz, H. Oguey, Eduardo Ros, A. Prieto and Francisco Pelayo. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Electronics Letters and Analog Integrated Circuits and Signal Processing.
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.