Stefano Nichele

1.6k total citations · 1 hit paper
49 papers, 889 citations indexed

About

Stefano Nichele is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Stefano Nichele has authored 49 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 18 papers in Computational Theory and Mathematics and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Stefano Nichele's work include Cellular Automata and Applications (17 papers), Advanced Memory and Neural Computing (15 papers) and Neural dynamics and brain function (13 papers). Stefano Nichele is often cited by papers focused on Cellular Automata and Applications (17 papers), Advanced Memory and Neural Computing (15 papers) and Neural dynamics and brain function (13 papers). Stefano Nichele collaborates with scholars based in Norway, Italy and Sweden. Stefano Nichele's co-authors include Jianhua Zhang, Peng Chen, Zhong Yin, Alberto Broggi, A. Fascioli, Massimo Bertozzi, Gunnar Tufte, Ioanna Sandvig, Axel Sandvig and Eric Medvet and has published in prestigious journals such as American Journal of Physiology-Cell Physiology, Applied Soft Computing and Physica D Nonlinear Phenomena.

In The Last Decade

Stefano Nichele

46 papers receiving 848 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review

2020 507 citations Stefano Nichele et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Stefano Nichele Norway	10	341	324	218	214	101	49	889
Rongrong Fu China	17	395 1.2×	474 1.5×	114 0.5×	79 0.4×	70 0.7×	67	1.1k
Egon L. van den Broek Netherlands	19	385 1.1×	354 1.1×	134 0.6×	296 1.4×	25 0.2×	111	1.2k
José Manuel Ferrández Spain	17	206 0.6×	406 1.3×	127 0.6×	115 0.5×	155 1.5×	101	1.0k
Diego R. Faria United Kingdom	18	109 0.3×	262 0.8×	246 1.1×	351 1.6×	43 0.4×	55	936
Stamos Katsigiannis United Kingdom	15	608 1.8×	710 2.2×	221 1.0×	197 0.9×	48 0.5×	49	1.3k
Jian Shen China	20	419 1.2×	600 1.9×	698 3.2×	345 1.6×	59 0.6×	54	1.7k
Wenbo Zhao China	10	132 0.4×	100 0.3×	146 0.7×	99 0.5×	77 0.8×	31	584
Cornelius Weber Germany	19	167 0.5×	248 0.8×	584 2.7×	457 2.1×	93 0.9×	93	1.4k
Francesco Donnarumma Italy	17	113 0.3×	550 1.7×	211 1.0×	91 0.4×	83 0.8×	45	1.1k
Robert Schleicher Germany	15	322 0.9×	438 1.4×	79 0.4×	220 1.0×	23 0.2×	57	970

Countries citing papers authored by Stefano Nichele

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Nichele, Stefano, et al.. (2024). Micro-and mesoscale aspects of neurodegeneration in engineered human neural networks carrying the LRRK2 G2019S mutation. Frontiers in Cellular Neuroscience. 18. 3 indexed citations

Nichele, Stefano, et al.. (2024). The Role of the Substrate in CA-based Evolutionary Algorithms. Proceedings of the Genetic and Evolutionary Computation Conference. 768–777.

Pierro, A.R. De, et al.. (2023). Optimization of a Hydrodynamic Computational Reservoir through Evolution. Proceedings of the Genetic and Evolutionary Computation Conference. 202–210. 4 indexed citations

Medvet, Eric, et al.. (2023). An experimental comparison of evolved neural network models for controlling simulated modular soft robots. Applied Soft Computing. 145. 110610–110610. 7 indexed citations

Medvet, Eric, et al.. (2022). Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots. The Knowledge Engineering Review. 37. 5 indexed citations

Sandvig, Axel, et al.. (2022). Neuronal avalanche dynamics and functional connectivity elucidate information propagation in vitro. Frontiers in Neural Circuits. 16. 980631–980631. 8 indexed citations

Yazidi, Anis, et al.. (2022). Towards the Neuroevolution of Low-level artificial general intelligence. Frontiers in Robotics and AI. 9. 1007547–1007547. 3 indexed citations

Bråthen, Geir, et al.. (2021). Early functional changes associated with alpha-synuclein proteinopathy in engineered human neural networks. American Journal of Physiology-Cell Physiology. 320(6). C1141–C1152. 9 indexed citations

Medvet, Eric, et al.. (2021). On the effects of pruning on evolved neural controllers for soft robots. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1744–1752. 6 indexed citations

10.

Haugerud, Hårek, et al.. (2020). Evading a Machine Learning-based Intrusion Detection System through Adversarial Perturbations. 161–166. 4 indexed citations

11.

Lind, Pedro G., Anis Yazidi, Jianhua Zhang, et al.. (2019). EvoDynamic: a framework for the evolution of generally represented dynamical systems and its application to self-organized criticality. 1 indexed citations

12.

Mello, Gustavo Borges Moreno e, et al.. (2019). Method to Obtain Neuromorphic Reservoir Networks from Images of in Vitro Cortical Networks. Duo Research Archive (University of Oslo). 4. 2360–2366. 1 indexed citations

13.

Nichele, Stefano, et al.. (2018). Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarms Using Embodied Evolution. Duo Research Archive (University of Oslo). 875–883. 1 indexed citations

14.

Yazidi, Anis, et al.. (2018). Autonomous configuration of network parameters in operating systems using evolutionary algorithms. Duo Research Archive (University of Oslo). 118–125. 2 indexed citations

15.

Nichele, Stefano, et al.. (2017). Universality of Evolved Cellular Automata in-Materio.. International journal of unconventional computing. 13. 1–34. 3 indexed citations

16.

Nichele, Stefano, Ioanna Sandvig, Gunnar Tufte, et al.. (2017). Towards making a cyborg: A closed-loop reservoir-neuro system. 430–437. 19 indexed citations

17.

Nichele, Stefano, et al.. (2017). Towards a plant bio-machine. IT University Of Copenhagen (IT University of Copenhagen). 1–8. 1 indexed citations

18.

Nichele, Stefano, et al.. (2017). Deep Learning with Cellular Automaton-Based Reservoir Computing. Complex Systems. 26(4). 319–340. 12 indexed citations

19.

Nichele, Stefano, et al.. (2017). Reservoir Computing Using Nonuniform Binary Cellular Automata. Complex Systems. 26(3). 225–246. 12 indexed citations

20.

Nichele, Stefano & Gunnar Tufte. (2013). Evolution of Incremental Complex Behavior on Cellular Machines. 63–70. 1 indexed citations

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.

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