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.
Information processing using a single dynamical node as complex system
20111.1k citationsJoni Dambre, Benjamin Schrauwen et al.profile →
Experimental demonstration of reservoir computing on a silicon photonics chip
2014561 citationsKristof Vandoorne, Martin Fiers et al.profile →
Rotation-invariant convolutional neural networks for galaxy morphology prediction
2015485 citationsSander Dieleman, Joni Dambre et al.profile →
Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition
2016331 citationsLionel Pigou, Joni Dambre et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Joni Dambre'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 Joni Dambre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joni Dambre more than expected).
This network shows the impact of papers produced by Joni Dambre. 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 Joni Dambre. The network helps show where Joni Dambre may publish in the future.
Co-authorship network of co-authors of Joni Dambre
This figure shows the co-authorship network connecting the top 25 collaborators of Joni Dambre.
A scholar is included among the top collaborators of Joni Dambre 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 Joni Dambre. Joni Dambre is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Herreweghe, Mieke Van, et al.. (2020). Sign language recognition with transformer networks. Language Resources and Evaluation. 6018–6024.56 indexed citations
6.
Freiberger, Matthias, et al.. (2020). Self-organized dynamic attractors in recurrent neural networks. Ghent University Academic Bibliography (Ghent University). 585–590.1 indexed citations
Herreweghe, Mieke Van, et al.. (2019). Towards automatic sign language corpus annotation using deep learning. Ghent University Academic Bibliography (Ghent University).2 indexed citations
Dowling, Cameron, et al.. (2019). Classification of aortic valve morphology using a three-dimensional convolutional neural network. Ghent University Academic Bibliography (Ghent University).1 indexed citations
Iannaccone, Francesco, Peter de Jaegere, Johan Bosmans, et al.. (2018). Detection of the aortic annular plane and coronary ostia from MDCT using deep learning techniques.. Ghent University Academic Bibliography (Ghent University).
Pigou, Lionel, Mieke Van Herreweghe, & Joni Dambre. (2016). Sign classification in sign language Corpora with deep neural networks. Language Resources and Evaluation. 175–178.10 indexed citations
Bienstman, Peter, Kristof Vandoorne, Martin Fiers, et al.. (2010). Photonic reservoir computing as a new paradigm for optical information processing. Ghent University Academic Bibliography (Ghent University). 196–196.1 indexed citations
O’Connor, Ian, M. Brière, Emmanuel Drouard, et al.. (2005). Towards reconfigurable optical networks on chip.. Ghent University Academic Bibliography (Ghent University). 121–128.22 indexed citations
20.
Desmet, Lieven, Joni Dambre, Dirk Stroobandt, et al.. (2002). Reconfigurable optical interconnects for parallel computer systems: design space issues. Ghent University Academic Bibliography (Ghent University).2 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.