D. Verstraeten

2.3k total citations · 1 hit paper
21 papers, 1.6k citations indexed

About

D. Verstraeten is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, D. Verstraeten has authored 21 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 9 papers in Atomic and Molecular Physics, and Optics and 7 papers in Artificial Intelligence. Recurrent topics in D. Verstraeten's work include Advanced Semiconductor Detectors and Materials (8 papers), Neural Networks and Reservoir Computing (7 papers) and Photorefractive and Nonlinear Optics (6 papers). D. Verstraeten is often cited by papers focused on Advanced Semiconductor Detectors and Materials (8 papers), Neural Networks and Reservoir Computing (7 papers) and Photorefractive and Nonlinear Optics (6 papers). D. Verstraeten collaborates with scholars based in Belgium, France and Lithuania. D. Verstraeten's co-authors include Benjamin Schrauwen, Dirk Stroobandt, Michiel D’Haene, Jan Van Campenhout, P.W. Haycock, J.B. Butcher, Charles Day, Joni Dambre, Kristof Vandoorne and Peter Bienstman and has published in prestigious journals such as Journal of Applied Physics, Solar Energy Materials and Solar Cells and Neural Networks.

In The Last Decade

D. Verstraeten

20 papers receiving 1.5k citations

Hit Papers

An experimental unification of reservoir computing methods 2007 2026 2013 2019 2007 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Verstraeten Belgium 11 1.3k 1.2k 439 87 85 21 1.6k
Michiel D’Haene Belgium 8 857 0.7× 747 0.6× 375 0.9× 20 0.2× 68 0.8× 21 1.1k
Wen Ma China 13 575 0.5× 1.1k 1.0× 321 0.7× 40 0.5× 25 0.3× 23 1.5k
Saeed Bagheri Shouraki Iran 18 453 0.4× 398 0.3× 116 0.3× 11 0.1× 75 0.9× 100 1.1k
Xing Hu China 19 618 0.5× 851 0.7× 199 0.5× 12 0.1× 10 0.1× 64 1.4k
Amirhossein Tavanaei United States 9 425 0.3× 744 0.6× 516 1.2× 17 0.2× 14 0.2× 16 1.1k
Xi Zhang China 21 126 0.1× 790 0.7× 195 0.4× 37 0.4× 461 5.4× 97 1.3k
Marco Storace Italy 23 208 0.2× 580 0.5× 375 0.9× 15 0.2× 610 7.2× 159 1.8k
Takashi Morie Japan 16 317 0.3× 1.2k 1.1× 160 0.4× 5 0.1× 75 0.9× 177 1.5k
Peter Dürr Germany 12 458 0.4× 393 0.3× 118 0.3× 6 0.1× 16 0.2× 31 997
Devesh K. Jha United States 14 290 0.2× 318 0.3× 67 0.2× 27 0.3× 7 0.1× 80 929

Countries citing papers authored by D. Verstraeten

Since Specialization
Citations

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

Fields of papers citing papers by D. Verstraeten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Verstraeten

This figure shows the co-authorship network connecting the top 25 collaborators of D. Verstraeten. A scholar is included among the top collaborators of D. Verstraeten 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 D. Verstraeten. D. Verstraeten 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.
Aerssens, Annelies, et al.. (2024). Microbiological evaluation of ultraviolet C light-emitting diodes for disinfection of medical instruments. Heliyon. 10(17). e37281–e37281. 4 indexed citations
2.
Budiman, Arief Suriadi, et al.. (2014). Enabling thin silicon technologies for next generation c-Si solar PV renewable energy systems using synchrotron X-ray microdiffraction as stress and crack mechanism probe. Solar Energy Materials and Solar Cells. 130. 303–308. 51 indexed citations
3.
Butcher, J.B., Charles Day, J. Christopher Austin, et al.. (2013). Defect Detection in Reinforced Concrete Using Random Neural Architectures. Computer-Aided Civil and Infrastructure Engineering. 29(3). 191–207. 88 indexed citations
4.
Butcher, J.B., D. Verstraeten, Benjamin Schrauwen, Charles Day, & P.W. Haycock. (2012). Reservoir computing and extreme learning machines for non-linear time-series data analysis. Neural Networks. 38. 76–89. 108 indexed citations
5.
Thibert, Tanguy, Marie-Laure Hellin, Jérôme Loïcq, et al.. (2012). Performance of solmacs, a high PV solar concentrator with efficient optics. AIP conference proceedings. 225–229. 1 indexed citations
6.
Caluwaerts, Ken, Michiel D’Haene, D. Verstraeten, & Benjamin Schrauwen. (2012). Locomotion Without a Brain: Physical Reservoir Computing in Tensegrity Structures. Artificial Life. 19(1). 35–66. 98 indexed citations
7.
Vandoorne, Kristof, Joni Dambre, D. Verstraeten, Benjamin Schrauwen, & Peter Bienstman. (2011). Parallel Reservoir Computing Using Optical Amplifiers. IEEE Transactions on Neural Networks. 22(9). 1469–1481. 156 indexed citations
8.
Butcher, J.B., Charles Day, P.W. Haycock, D. Verstraeten, & Benjamin Schrauwen. (2010). Pruning reservoirs with Random Static Projections. 32. 250–255. 11 indexed citations
9.
Kadys, A., K. Jarašiūnas, & D. Verstraeten. (2009). Optical discrimination of deep trap contribution to carrier recombination in semi-insulating crystals. Journal of Applied Physics. 106(1). 2 indexed citations
10.
Kadys, A., K. Jarašiūnas, Edgardo Saucedo, et al.. (2008). Evaluation of photoelectrical properties of Bi doped CdTe crystals. Journal of Materials Science Materials in Electronics. 19(S1). 234–238. 1 indexed citations
11.
Verstraeten, D., Benjamin Schrauwen, Michiel D’Haene, & Dirk Stroobandt. (2007). An experimental unification of reservoir computing methods. Neural Networks. 20(3). 391–403. 759 indexed citations breakdown →
12.
Kadys, A., et al.. (2007). Evaluation of deep‐impurity governed photoelectrical properties in differently doped CdTe. physica status solidi (b). 244(5). 1675–1679. 4 indexed citations
13.
Fochuk, P., R. Grill, A. Kadys, et al.. (2007). High temperature electrical properties of CdTe〈Pb〉 crystals under Te saturation. physica status solidi (b). 244(5). 1720–1726. 1 indexed citations
14.
Verstraeten, D., Benjamin Schrauwen, & Dirk Stroobandt. (2006). Reservoir-based techniques for speech recognition. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 1050–1053. 89 indexed citations
15.
Verstraeten, D., Benjamin Schrauwen, Dirk Stroobandt, & Jan Van Campenhout. (2005). Isolated word recognition with the Liquid State Machine: a case study. Information Processing Letters. 95(6). 521–528. 183 indexed citations
18.
Verstraeten, D., Jean‐Claude Launay, Philippe Delaye, et al.. (2003). PHOTOREFRACTIVE ZnTe GROWN BY TRAVELLING HEATER METHOD.. 159–159. 2 indexed citations
19.
Verstraeten, D., et al.. (2003). A combined EPR and modulated photocurrent study of native defects in Bridgman grown vanadium doped cadmium telluride: the case of the tellurium antisite. Semiconductor Science and Technology. 18(11). 919–926. 19 indexed citations
20.
Dammak, Mohamed, D. Verstraeten, S. Alaya, et al.. (2001). A photoluminescence study of vanadium-related defects in n-type, semi-insulating and p-type Cd(Zn)Te. Optical Materials. 15(4). 261–267. 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.

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