Luca Pedrelli

953 total citations · 1 hit paper
10 papers, 533 citations indexed

About

Luca Pedrelli is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Luca Pedrelli has authored 10 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Cognitive Neuroscience and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Luca Pedrelli's work include Neural Networks and Reservoir Computing (7 papers), Neural dynamics and brain function (3 papers) and Neural Networks and Applications (3 papers). Luca Pedrelli is often cited by papers focused on Neural Networks and Reservoir Computing (7 papers), Neural dynamics and brain function (3 papers) and Neural Networks and Applications (3 papers). Luca Pedrelli collaborates with scholars based in Italy, Switzerland and France. Luca Pedrelli's co-authors include Alessio Micheli, Claudio Gallicchio, Xavier Hinaut, Federico Vozzi, Oberdan Parodi, Stefano Chessa, Erina Ferro, Davide La Rosa, Davide Bacciu and Giuseppe Pantaleo and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing and Neural Networks.

In The Last Decade

Luca Pedrelli

9 papers receiving 514 citations

Hit Papers

Deep reservoir computing: A critical experimental analysis 2017 2026 2020 2023 2017 100 200 300
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.

  1. Deep reservoir computing: A critical experimental analysis
    2017 322 citations Claudio Gallicchio, Alessio Micheli et al. Neurocomputing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Pedrelli Italy 5 450 335 93 36 23 10 533
Mustafa C. Ozturk United States 7 263 0.6× 184 0.5× 75 0.8× 26 0.7× 9 0.4× 11 302
Vincent Canals Spain 15 355 0.8× 399 1.2× 180 1.9× 28 0.8× 19 0.8× 54 612
Jitkomut Songsiri Thailand 9 93 0.2× 85 0.3× 57 0.6× 14 0.4× 52 2.3× 30 272
Francisco Ortega-Zamorano Spain 9 115 0.3× 67 0.2× 25 0.3× 14 0.4× 32 1.4× 19 276
Hani Hamdan France 9 73 0.2× 70 0.2× 102 1.1× 15 0.4× 48 2.1× 30 309
Zhenzhi Wu China 7 178 0.4× 275 0.8× 111 1.2× 4 0.1× 7 0.3× 26 405
Christopher M. Twigg United States 15 68 0.2× 509 1.5× 48 0.5× 8 0.2× 23 1.0× 33 636
Wenhao Ying China 8 137 0.3× 95 0.3× 121 1.3× 8 0.2× 8 0.3× 26 360
Kyung Ki Kim United States 10 45 0.1× 274 0.8× 53 0.6× 20 0.6× 11 0.5× 64 373
Timothy J. Draelos United States 6 213 0.5× 74 0.2× 31 0.3× 4 0.1× 9 0.4× 16 296

Countries citing papers authored by Luca Pedrelli

Since Specialization
Citations

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

Fields of papers citing papers by Luca Pedrelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Pedrelli

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

All Works

10 of 10 papers shown
1.
Vozzi, Federico, Luca Pedrelli, Giovanna Maria Dimitri, et al.. (2024). Echo state networks for the recognition of type 1 Brugada syndrome from conventional 12-LEAD ECG. Heliyon. 10(3). e25404–e25404. 3 indexed citations
2.
Pedrelli, Luca & Xavier Hinaut. (2021). Hierarchical-Task Reservoir for Online Semantic Analysis From Continuous Speech. IEEE Transactions on Neural Networks and Learning Systems. 33(6). 2654–2663. 7 indexed citations
3.
Pedrelli, Luca & Xavier Hinaut. (2020). Hierarchical-Task Reservoir for Anytime POS Tagging from Continuous Speech. CINECA IRIS Institutial research information system (University of Pisa). 1–8. 3 indexed citations
4.
Pedrelli, Luca, Phillip D. Keathley, Laura Cattaneo, Franz X. Kärtner, & U. Keller. (2020). Complete phase retrieval of photoelectron wavepackets. Repository for Publications and Research Data (ETH Zurich). 4 indexed citations
5.
Pedrelli, Luca, et al.. (2019). A Robust Method for Assaying the Immunoreactive Fraction in Nonequilibrium Systems. Pharmaceuticals. 12(4). 177–177. 8 indexed citations
6.
Gallicchio, Claudio, Alessio Micheli, & Luca Pedrelli. (2018). Design of deep echo state networks. Neural Networks. 108. 33–47. 158 indexed citations
7.
Gallicchio, Claudio, Alessio Micheli, & Luca Pedrelli. (2018). Comparison between DeepESNs and gated RNNs on multivariate time-series prediction.. arXiv (Cornell University). 1 indexed citations
8.
Bacciu, Davide, Stefano Chessa, Claudio Gallicchio, et al.. (2017). A learning system for automatic Berg Balance Scale score estimation. Engineering Applications of Artificial Intelligence. 66. 60–74. 26 indexed citations
9.
Gallicchio, Claudio, Alessio Micheli, & Luca Pedrelli. (2017). Deep reservoir computing: A critical experimental analysis. Neurocomputing. 268. 87–99. 322 indexed citations breakdown →
10.
Gallicchio, Claudio, Alessio Micheli, Luca Pedrelli, Federico Vozzi, & Oberdan Parodi. (2015). Preliminary experimental analysis of reservoir computing approach for balance assessment. CINECA IRIS Institutial research information system (University of Pisa). 1425. 51–56. 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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