Eric Aislan Antonelo

845 total citations · 1 hit paper
38 papers, 514 citations indexed

About

Eric Aislan Antonelo is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Eric Aislan Antonelo has authored 38 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 16 papers in Electrical and Electronic Engineering and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in Eric Aislan Antonelo's work include Neural Networks and Reservoir Computing (24 papers), Advanced Memory and Neural Computing (15 papers) and Model Reduction and Neural Networks (11 papers). Eric Aislan Antonelo is often cited by papers focused on Neural Networks and Reservoir Computing (24 papers), Advanced Memory and Neural Computing (15 papers) and Model Reduction and Neural Networks (11 papers). Eric Aislan Antonelo collaborates with scholars based in Brazil, Belgium and Luxembourg. Eric Aislan Antonelo's co-authors include Benjamin Schrauwen, Eduardo Camponogara, Dirk Stroobandt, Bjarne Foss, Jan Van Campenhout, Jomi Fred Hübner, Laio Oriel Seman, A.-J. Baerveldt, Sławomir Nowaczyk and Lars Imsland and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing and Neural Networks.

In The Last Decade

Eric Aislan Antonelo

34 papers receiving 481 citations

Hit Papers

Physics-informed neural nets for control of dynamical sys... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Aislan Antonelo Brazil 13 351 225 105 97 84 38 514
Boudour Ammar Tunisia 10 287 0.8× 172 0.8× 72 0.7× 48 0.5× 66 0.8× 33 479
Jinguang Jiang China 12 172 0.5× 321 1.4× 28 0.3× 41 0.4× 34 0.4× 67 592
Hamid Reza Koofigar Iran 15 62 0.2× 122 0.5× 306 2.9× 40 0.4× 34 0.4× 50 519
Fangzheng Xue China 11 108 0.3× 124 0.6× 65 0.6× 92 0.9× 28 0.3× 45 323
Carlos E. Castañeda Mexico 11 86 0.2× 141 0.6× 221 2.1× 22 0.2× 72 0.9× 61 398
Martin Enqvist Sweden 13 127 0.4× 77 0.3× 557 5.3× 21 0.2× 26 0.3× 60 729
Asriel U. Levin United States 6 313 0.9× 64 0.3× 545 5.2× 15 0.2× 54 0.6× 9 692
Koldo Basterretxea Spain 12 217 0.6× 121 0.5× 88 0.8× 21 0.2× 13 0.2× 39 440
Mitsuru Kawamoto Japan 11 114 0.3× 42 0.2× 139 1.3× 48 0.5× 15 0.2× 57 622
Saeed Jafarzadeh United States 12 285 0.8× 372 1.7× 325 3.1× 14 0.1× 14 0.2× 39 674

Countries citing papers authored by Eric Aislan Antonelo

Since Specialization
Citations

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

Fields of papers citing papers by Eric Aislan Antonelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Aislan Antonelo. 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 Eric Aislan Antonelo. The network helps show where Eric Aislan Antonelo may publish in the future.

Co-authorship network of co-authors of Eric Aislan Antonelo

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Aislan Antonelo. A scholar is included among the top collaborators of Eric Aislan Antonelo 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 Eric Aislan Antonelo. Eric Aislan Antonelo 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
1.
Camponogara, Eduardo, et al.. (2025). Physics-Informed Neural Networks for Control of single-phase flow systems governed by partial differential equations. Engineering Applications of Artificial Intelligence. 160. 111869–111869.
2.
Antonelo, Eric Aislan, et al.. (2025). Physics-informed Echo State Networks for modeling controllable dynamical systems. Neurocomputing. 639. 130251–130251.
3.
Antonelo, Eric Aislan, et al.. (2024). Hierarchical Generative Adversarial Imitation Learning With Mid-Level Input Generation for Autonomous Driving on Urban Environments. IEEE Transactions on Intelligent Vehicles. 10(3). 1841–1854. 7 indexed citations
4.
Antonelo, Eric Aislan, et al.. (2024). Physics-informed neural nets for control of dynamical systems. Neurocomputing. 579. 127419–127419. 52 indexed citations breakdown →
5.
Antonelo, Eric Aislan, et al.. (2023). Benford’s law: What does it say on adversarial images?. Journal of Visual Communication and Image Representation. 93. 103818–103818.
6.
Antonelo, Eric Aislan, et al.. (2023). Investigation of proper orthogonal decomposition for echo state networks. Neurocomputing. 548. 126395–126395. 9 indexed citations
7.
Antonelo, Eric Aislan, et al.. (2023). Physics-Informed Neural Nets for Control of Dynamical Systems. SSRN Electronic Journal. 2 indexed citations
8.
Camponogara, Eduardo, et al.. (2022). Nonlinear Model Predictive Control of Electrical Submersible Pumps based on Echo State Networks. Advanced Engineering Informatics. 52. 101553–101553. 17 indexed citations
9.
Antonelo, Eric Aislan, et al.. (2021). Echo State Networks for Practical Nonlinear Model Predictive Control of Unknown Dynamic Systems. IEEE Transactions on Neural Networks and Learning Systems. 33(6). 2615–2629. 28 indexed citations
10.
Antonelo, Eric Aislan, et al.. (2019). Online learning control with Echo State Networks of an oil production platform. Engineering Applications of Artificial Intelligence. 85. 214–228. 19 indexed citations
11.
Antonelo, Eric Aislan, et al.. (2017). Reservoir computing for detection of steady state in performance tests of compressors. Neurocomputing. 275. 598–607. 6 indexed citations
12.
Antonelo, Eric Aislan, Eduardo Camponogara, & Bjarne Foss. (2016). Echo State Networks for data-driven downhole pressure estimation in gas-lift oil wells. Neural Networks. 85. 106–117. 68 indexed citations
13.
Nowaczyk, Sławomir, et al.. (2016). Predicting Air Compressor Failures with Echo State Networks. PHM Society European Conference. 3(1). 13 indexed citations
14.
Antonelo, Eric Aislan & Benjamin Schrauwen. (2014). On Learning Navigation Behaviors for Small Mobile Robots With Reservoir Computing Architectures. IEEE Transactions on Neural Networks and Learning Systems. 26(4). 763–780. 48 indexed citations
15.
Antonelo, Eric Aislan, Stefan Depeweg, & Benjamin Schrauwen. (2011). Learning navigation attractors for mobile robots with reinforcement learning and reservoir computing. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
16.
Antonelo, Eric Aislan & Benjamin Schrauwen. (2011). Learning slow features with reservoir computing for biologically-inspired robot localization. Neural Networks. 25(1). 178–190. 15 indexed citations
17.
Antonelo, Eric Aislan & Benjamin Schrauwen. (2009). Towards autonomous self-localization of small mobile robots using reservoir computing and slow feature analysis. Ghent University Academic Bibliography (Ghent University). 3818–3823. 2 indexed citations
18.
Antonelo, Eric Aislan, Benjamin Schrauwen, & Dirk Stroobandt. (2008). Event detection and localization for small mobile robots using reservoir computing. Neural Networks. 21(6). 862–871. 64 indexed citations
19.
Antonelo, Eric Aislan, Benjamin Schrauwen, & Dirk Stroobandt. (2008). Mobile robot control in the road sign problem using Reservoir Computing networks. Open Repository and Bibliography (University of Luxembourg). 911–916. 16 indexed citations
20.
Antonelo, Eric Aislan. (2006). A Neural Reinforcement Learning Approach for Behaviors Acquisition in Intelligent Autonomous Systems. 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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