Luca Patané

138 papers receiving 1.2k citations

Peers

Luca Patané
Comparison fields: 5 of 110
  • Cognitive Neuroscience 322
  • Cellular and Molecular Neuroscience 219
  • Control and Systems Engineering 193
  • Statistical and Nonlinear Physics 97
  • Artificial Intelligence 231
Replace Martin J. Pearson with:
Martin J. Pearson United Kingdom
Xiaodong Ren China
Kiyotoshi Matsuoka Japan
Hui Lu China
Miriam Zacksenhouse Israel
Zhenshan Bing Germany
M. Anthony Lewis United States
Rui Yan China
Joschka Boedecker Germany
Sean Anderson United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Luca Patané

Since Specialization
Citations

This map shows the geographic impact of Luca Patané'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 Luca Patané with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Patané more than expected).

Fields of papers citing papers by Luca Patané

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luca Patané. 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 Luca Patané. The network helps show where Luca Patané may publish in the future.

Co-authors

The 25 scholars most cited alongside Luca Patané, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Luca Patané Line = papers co-authored together Luca Patané links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202161
2 200949
3 202147
4 200546
5 202045
6 202140
7 201939
8 202126
9 202123
10 201723
11 202321
12 202120
13 201219
14 201918
15 200618
16 200718
17 201918
18 201217
19 201217
20 201917

About Luca Patané

Luca Patané is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence, Cellular and Molecular Neuroscience and Computer Networks and Communications, having authored 146 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (50 papers), Advanced Memory and Neural Computing (41 papers), Robotic Locomotion and Control (26 papers), Neural Networks and Applications (21 papers), Neurobiology and Insect Physiology Research (18 papers), Neural Networks Stability and Synchronization (17 papers), Neuroscience and Neural Engineering (12 papers) and Neural Networks and Reservoir Computing (11 papers). The work is most often cited by research in Cognitive Neuroscience (322 citations), Cellular and Molecular Neuroscience (219 citations), Control and Systems Engineering (193 citations), Statistical and Nonlinear Physics (97 citations) and Artificial Intelligence (231 citations). Luca Patané has collaborated with scholars based in Italy, Germany and Denmark. Frequent co-authors include Paolo Arena, Luigi Fortuna, Maria Gabriella Xibilia, Mattia Frasca, Roland Strauß, P. Arena, Riccardo Caponetto, G. Vagliasindi, Arturo Buscarino and Marco Pavone. Their work appears in journals such as Frontiers in Neurorobotics, Energies, Neural Networks, Nonlinear Dynamics and Information Sciences.

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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