Lennert Appeltant

2.8k total citations · 2 hit papers
6 papers, 1.9k citations indexed

About

Lennert Appeltant is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Lennert Appeltant has authored 6 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Electrical and Electronic Engineering and 3 papers in Cognitive Neuroscience. Recurrent topics in Lennert Appeltant's work include Neural Networks and Reservoir Computing (6 papers), Neural dynamics and brain function (3 papers) and Optical Network Technologies (3 papers). Lennert Appeltant is often cited by papers focused on Neural Networks and Reservoir Computing (6 papers), Neural dynamics and brain function (3 papers) and Optical Network Technologies (3 papers). Lennert Appeltant collaborates with scholars based in Belgium, Spain and Netherlands. Lennert Appeltant's co-authors include Ingo Fischer, Miguel C. Soriano, Cláudio R. Mirasso, Guy Van der Sande, Jan Danckaert, Benjamin Schrauwen, Serge Massar, Joni Dambre, L. Pesquera and José Manuel Gutiérrez and has published in prestigious journals such as Nature Communications, Scientific Reports and Optics Express.

In The Last Decade

Lennert Appeltant

6 papers receiving 1.8k citations

Hit Papers

Information processing using a single dynamical node as c... 2011 2026 2016 2021 2011 2012 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lennert Appeltant Belgium 5 1.8k 1.6k 385 256 150 6 1.9k
Daiju Nakano Japan 9 1.1k 0.6× 1.1k 0.7× 398 1.0× 167 0.7× 104 0.7× 26 1.5k
Hidetoshi Numata Japan 12 1.1k 0.6× 1.3k 0.8× 389 1.0× 106 0.4× 102 0.7× 44 1.6k
Naoki Kanazawa Japan 11 1.2k 0.7× 1.1k 0.7× 386 1.0× 104 0.4× 104 0.7× 26 1.5k
Kazutaka Kanno Japan 19 816 0.5× 773 0.5× 86 0.2× 306 1.2× 243 1.6× 55 1.1k
Tao Deng China 19 428 0.2× 873 0.5× 87 0.2× 282 1.1× 251 1.7× 90 1.2k
Mitchell A. Nahmias United States 26 3.1k 1.7× 3.2k 2.0× 293 0.8× 86 0.3× 37 0.2× 70 3.4k
Nabil H. Farhat United States 11 674 0.4× 600 0.4× 126 0.3× 57 0.2× 39 0.3× 34 906
S. Barland France 16 328 0.2× 421 0.3× 150 0.4× 375 1.5× 244 1.6× 41 853
Josep L. Rosselló Spain 17 372 0.2× 649 0.4× 190 0.5× 170 0.7× 34 0.2× 68 854
Martin Fiers Belgium 11 877 0.5× 1.1k 0.7× 107 0.3× 41 0.2× 26 0.2× 32 1.2k

Countries citing papers authored by Lennert Appeltant

Since Specialization
Citations

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

Fields of papers citing papers by Lennert Appeltant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lennert Appeltant

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

All Works

6 of 6 papers shown
1.
Appeltant, Lennert, Guy Van der Sande, Jan Danckaert, & Ingo Fischer. (2014). Constructing optimized binary masks for reservoir computing with delay systems. Scientific Reports. 4(1). 3629–3629. 99 indexed citations
2.
Soriano, Miguel C., Silvia Ortín, Lars Keuninckx, et al.. (2014). Delay-Based Reservoir Computing: Noise Effects in a Combined Analog and Digital Implementation. IEEE Transactions on Neural Networks and Learning Systems. 26(2). 388–393. 121 indexed citations
3.
Ortín, Silvia, Lennert Appeltant, L. Pesquera, et al.. (2013). Information processing using an electro-optic oscillator subject to multiple delay lines. 1–1. 4 indexed citations
4.
Larger, Laurent, Miguel C. Soriano, Daniel Brunner, et al.. (2012). Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing. Optics Express. 20(3). 3241–3241. 569 indexed citations breakdown →
5.
Appeltant, Lennert, Miguel C. Soriano, Guy Van der Sande, et al.. (2012). Computing using delayed feedback systems: towards photonics. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8434. 84341W–84341W. 1 indexed citations
6.
Appeltant, Lennert, Miguel C. Soriano, Guy Van der Sande, et al.. (2011). Information processing using a single dynamical node as complex system. Nature Communications. 2(1). 468–468. 1094 indexed citations breakdown →

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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