Bert de Vries

10.4k citations
123 papers · 2.7k · h-index 29

Impact in

Papers in

    • Gaussian Processes and Bayesian Inference 16
    • Neural Networks and Applications 14
    • Bayesian Modeling and Causal Inference 13
    • Speech and Audio Processing 18
    • Blind Source Separation Techniques 12

Bert de Vries

114 papers receiving 2.5k citations

Peers

Bert de Vries
Comparison fields: 5 of 156
  • Energy Engineering and Power Technology 127
  • Environmental Engineering 418
  • Renewable Energy, Sustainability and the Environment 473
  • Signal Processing 295
  • General Energy 24
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Zheng Wang China
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Guonian Lü China
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Citations per field
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Citations per year

Countries citing papers authored by Bert de Vries

Since Specialization
Citations

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

Fields of papers citing papers by Bert de Vries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bert de Vries. 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 Bert de Vries. The network helps show where Bert de Vries may publish in the future.

Co-authors

The 25 scholars most cited alongside Bert de Vries, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bert de Vries Line = papers co-authored together Bert de Vries links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004232
2 1992184
3 2012171
4 2011135
5 2008113
6 1993110
7 200497
8 200894
9 199892
10 200672
11 200367
12 201354
13 200653
14 200052
15 200748
16
A Theory for Neural Networks with Time Delays
199047
17 200847
18 200045
19 200244
20 200944

About Bert de Vries

Bert de Vries is a scholar working on Artificial Intelligence, Signal Processing, Economics and Econometrics, Renewable Energy, Sustainability and the Environment and Environmental Engineering, having authored 123 papers that have together received 2.7k indexed citations. Recurring topics across this work include Climate Change Policy and Economics (18 papers), Speech and Audio Processing (18 papers), Gaussian Processes and Bayesian Inference (16 papers), Neural Networks and Applications (14 papers), Bayesian Modeling and Causal Inference (13 papers), Environmental Impact and Sustainability (12 papers), Blind Source Separation Techniques (12 papers) and Advanced Adaptive Filtering Techniques (10 papers). The work is most often cited by research in Energy Engineering and Power Technology (127 citations), Environmental Engineering (418 citations), Renewable Energy, Sustainability and the Environment (473 citations), Signal Processing (295 citations) and General Energy (24 citations). Bert de Vries has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Detlef P. van Vuuren, José C. Prı́ncipe, Wim Turkenburg, Monique Hoogwijk, Marco A. Janssen, Bas van Ruijven, Bastien Girod, Rik Vullings, J.W.M. Bergmans and Pedro Oliveira. Their work appears in journals such as Energy Policy, Environmental Science & Policy, Technological Forecasting and Social Change, Design Studies and Global Environmental Change.

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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