Bert de Vries

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

Bert de Vries

114 papers receiving 2.4k citations

Peers

Bert de Vries
Comparison fields: 5 of 159
  • Energy Engineering and Power Technology 127
  • Environmental Engineering 417
  • Renewable Energy, Sustainability and the Environment 472
  • Signal Processing 300
  • General Energy 24
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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-authorship network

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
#Work
1 202411
2 20239
3 20231
4 20231
5 20221
6 20222
7 20221
8 20211
9 202113
10 201724
11
Is hearing-aid signal processing ready for machine learning?
20130
12
On the state-of-the-art demand forecasting model developed by Netherlands Railways
20111
13 2011135
14 201141
15
Towards a global Integrated sustainability model : GISMO1.0 status report
20084
16 200748
17
Incremental utility elicitation for adaptive personalization
20058
18
Convolutive Source Separation and Signal Modeling with ML
19972
19
Modeling Applications with the Focused Gamma Net
19919
20
A Theory for Neural Networks with Time Delays
199047

About Bert de Vries

Bert de Vries is a scholar working on Signal Processing, Computational Mathematics and Artificial Intelligence, having authored 123 papers that have together received 2.7k indexed citations. Recurring topics across this work include Speech and Audio Processing (18 papers), Climate Change Policy and Economics (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 (417 citations) and Renewable Energy, Sustainability and the Environment (472 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, J.W.M. Bergmans, Rik Vullings and Pedro Oliveira. Their work appears in journals such as Energy Policy, Technological Forecasting and Social Change, Environmental Science & Policy, International Journal of Approximate Reasoning and Design Studies.

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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