Paolo Arena

3.0k total citations
161 papers, 1.9k citations indexed

About

Paolo Arena is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Paolo Arena has authored 161 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Cognitive Neuroscience, 47 papers in Artificial Intelligence and 42 papers in Electrical and Electronic Engineering. Recurrent topics in Paolo Arena's work include Neural dynamics and brain function (51 papers), Advanced Memory and Neural Computing (39 papers) and Neural Networks and Applications (30 papers). Paolo Arena is often cited by papers focused on Neural dynamics and brain function (51 papers), Advanced Memory and Neural Computing (39 papers) and Neural Networks and Applications (30 papers). Paolo Arena collaborates with scholars based in Italy, Germany and United Kingdom. Paolo Arena's co-authors include Luigi Fortuna, Luca Patané, Mattia Frasca, Maria Gabriella Xibilia, Riccardo Caponetto, Salvatore Baglio, Gabriele Manganaro, Roland Strauß, D. Porto and G. Vagliasindi and has published in prestigious journals such as Sensors, Information Sciences and Journal of the Franklin Institute.

In The Last Decade

Paolo Arena

157 papers receiving 1.8k citations

Peers

Paolo Arena
Comparison fields: 5 of 132
  • Biomedical Engineering 505
  • Electrical and Electronic Engineering 406
  • Artificial Intelligence 402
  • Cognitive Neuroscience 380
  • Computer Networks and Communications 362
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Georgios Ch. Sirakoulis Greece
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Philip H. W. Leong Australia
Masa-aki Sato Japan
Hilbert J. Kappen Netherlands
Todd D. Murphey United States
Kiyotoshi Matsuoka Japan View profile →
Citations per field, relative to Paolo Arena
Paolo Arena · 1×
Citations per year, relative to Paolo Arena
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Countries citing papers authored by Paolo Arena

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Arena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Arena

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Arena. A scholar is included among the top collaborators of Paolo Arena 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 Paolo Arena. Paolo Arena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 19
3 8
4 7
5 7
6 3
7 23
8 5
9 13
10 7
11 6
12 3
13
An Automatic Identifier of Confinement Regimes at JET combining Fuzzy Logic and Classification Trees
1
14
Climbing obstacle in bio-robots via CNN and adaptive attitude control: Research Articles
4
15 35
16 79
17 8
18 1
19
State Controlled CNN: A New Strategy for Generating High Complex Dynamics
19
20
Quaternionic Multilayer Perceptrons for Chaotic Time Series Prediction
24

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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