Stefano Nichele
- Experimental and Cognitive Psychology top 5%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Co-authors
- Jianhua ZhangPeng ChenZhong YinAlberto BroggiA. FascioliMassimo BertozziGunnar TufteAxel Sandvig
- Topics
- Cellular Automata and Applications (17 papers)Advanced Memory and Neural Computing (15 papers)Neural dynamics and brain function (13 papers)
- Cited by
- Experimental and Cognitive PsychologyCognitive NeuroscienceComputer Vision and Pattern Recognition
In The Last Decade
Stefano Nichele
46 papers receiving 848 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Experimental and Cognitive Psychology 341
- Cognitive Neuroscience 324
- Artificial Intelligence 218
- Computer Vision and Pattern Recognition 214
- Electrical and Electronic Engineering 101
Countries citing papers authored by Stefano Nichele
This map shows the geographic impact of Stefano Nichele'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 Stefano Nichele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Nichele more than expected).
Fields of papers citing papers by Stefano Nichele
This network shows the impact of papers produced by Stefano Nichele. 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 Stefano Nichele. The network helps show where Stefano Nichele may publish in the future.
Co-authorship network of co-authors of Stefano Nichele
This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Nichele. A scholar is included among the top collaborators of Stefano Nichele 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 Stefano Nichele. Stefano Nichele 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 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 12 | |
| 9 | 9 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 19 | |
| 14 | Universality of Evolved Cellular Automata in-Materio. | 3 |
| 15 | 12 | |
| 16 | 1 | |
| 17 | 12 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 2 |
About Stefano Nichele
Stefano Nichele is a scholar working on Computational Theory and Mathematics, Cognitive Neuroscience and Artificial Intelligence, having authored 49 papers that have together received 889 indexed citations. Recurring topics across this work include Cellular Automata and Applications (17 papers), Advanced Memory and Neural Computing (15 papers) and Neural dynamics and brain function (13 papers). The work is most often cited by research in Experimental and Cognitive Psychology (341 citations), Cognitive Neuroscience (324 citations) and Computer Vision and Pattern Recognition (214 citations). Stefano Nichele has collaborated with scholars based in Norway, Italy and Sweden. Frequent co-authors include Jianhua Zhang, Peng Chen, Zhong Yin, Alberto Broggi, A. Fascioli, Massimo Bertozzi, Gunnar Tufte, Axel Sandvig, Ioanna Sandvig and Eric Medvet. Their work appears in journals such as American Journal of Physiology-Cell Physiology, Applied Soft Computing and Physica D Nonlinear Phenomena.
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.