D. de Vries

2.2k total citations · 1 hit paper
50 papers, 1.6k citations indexed

About

D. de Vries is a scholar working on Control and Systems Engineering, Biomedical Engineering and Water Science and Technology. According to data from OpenAlex, D. de Vries has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 11 papers in Biomedical Engineering and 10 papers in Water Science and Technology. Recurrent topics in D. de Vries's work include Acoustic Wave Phenomena Research (7 papers), Speech and Audio Processing (6 papers) and Advanced Control Systems Optimization (6 papers). D. de Vries is often cited by papers focused on Acoustic Wave Phenomena Research (7 papers), Speech and Audio Processing (6 papers) and Advanced Control Systems Optimization (6 papers). D. de Vries collaborates with scholars based in Netherlands, Greece and Italy. D. de Vries's co-authors include A. J. Berkhout, Peter Vogel, B. Hofs, Emile Cornelissen, E.F. Beerendonk, Marinus M. Boone, John Wahr, Karel J. Keesman, Jantinus H. Bruins and Ben van den Akker and has published in prestigious journals such as Water Research, The Journal of the Acoustical Society of America and Environment International.

In The Last Decade

D. de Vries

48 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

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.

Acoustic control by wave field synthesis

1993 533 citations A. J. Berkhout, D. de Vries et al. The Journal of the Acoustical Society of America profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. de Vries Netherlands	18	530	510	496	393	192	50	1.6k
Guanyu Wang China	18	615 1.2×	51 0.1×	56 0.1×	99 0.3×	72 0.4×	72	1.8k
Kaiming Li China	18	259 0.5×	51 0.1×	46 0.1×	88 0.2×	69 0.4×	92	1.2k
Qiao Wang China	21	119 0.2×	43 0.1×	15 0.0×	157 0.4×	72 0.4×	125	1.9k
Min Yang China	18	111 0.2×	213 0.4×	28 0.1×	61 0.2×	18 0.1×	102	1.3k
Dongsheng Liu China	23	177 0.3×	33 0.1×	43 0.1×	45 0.1×	38 0.2×	210	2.0k
Jinhua Li China	19	173 0.3×	27 0.1×	13 0.0×	95 0.2×	39 0.2×	94	1.2k
Peng China	17	109 0.2×	20 0.0×	71 0.1×	27 0.1×	66 0.3×	330	1.8k

Countries citing papers authored by D. de Vries

Since Specialization

Citations

This map shows the geographic impact of D. 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 D. 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 D. de Vries more than expected).

Fields of papers citing papers by D. de Vries

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. de Vries

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

All Works

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20 of 20 papers shown

Vries, D. de, et al.. (2024). LSTM-based autoencoder models for real-time quality control of wastewater treatment sensor data. Journal of Hydroinformatics. 26(2). 441–458. 12 indexed citations

Cantoni, Beatrice, D. de Vries, Andrea Turolla, et al.. (2022). Quantitative chemical risk assessment for mixtures: Application to alkylphenol mixtures and phthalate mixtures in tap and bottled water. Environment International. 165. 107294–107294. 9 indexed citations

Cantoni, Beatrice, D. de Vries, Milou M.L. Dingemans, et al.. (2021). Development of a quantitative chemical risk assessment (QCRA) procedure for contaminants of emerging concern in drinking water supply. Water Research. 194. 116911–116911. 24 indexed citations

Vries, D. de, et al.. (2020). Hierarchical Model Predictive Control for Energy Management of Power-to-X Systems. Research Repository (Delft University of Technology). 1094–1098. 5 indexed citations

Pronk, Tessa E., C.H.M. Hofman-Caris, D. de Vries, et al.. (2020). A water quality index for the removal requirement and purification treatment effort of micropollutants. Water Science & Technology Water Supply. 21(1). 128–145. 12 indexed citations

Vries, D. de, et al.. (2017). AquaPriori: a priori het verwijderingsrendement bepalen. 1 indexed citations

Vries, D. de, et al.. (2016). Iron and manganese removal: Recent advances in modelling treatment efficiency by rapid sand filtration. Water Research. 109. 35–45. 109 indexed citations

Vries, D. de, et al.. (2016). Application of machine learning techniques to predict anomalies in water supply networks. Water Science & Technology Water Supply. 16(6). 1528–1535. 13 indexed citations

Thienen, P. van, et al.. (2014). Probabilistic Backtracing of Drinking Water Contamination Events in a Stochastic World. Procedia Engineering. 70. 1688–1696. 3 indexed citations

10.

Vries, D. de, et al.. (2012). Physical parameter estimation in spatial heat transport models with an application to food storage. Biosystems Engineering. 112(1). 14–21. 5 indexed citations

11.

Keesman, Karel J., D. de Vries, S. van Mourik, & Hans Zwart. (2007). Modeling and control of water disinfection process in annular photoreactors. University of Twente Research Information. 4778–4784. 3 indexed citations

12.

Stigter, J.D., D. de Vries, & Karel J. Keesman. (2006). On adaptive optimal input design: A bioreactor case study. AIChE Journal. 52(9). 3290–3296. 36 indexed citations

13.

Egea, José A., D. de Vries, Antonio A. Alonso, & Julio R. Banga. (2006). Global Optimization for Integrated Design and Control of Computationally Expensive Process Models. 323. 6899–6904. 1 indexed citations

14.

Berkhout, A. J., et al.. (1999). A wave field extrapolation approach to acoustical modeling in enclosed spaces. The Journal of the Acoustical Society of America. 105(3). 1725–1733. 21 indexed citations

15.

Berkhout, A. J., D. de Vries, & Peter Vogel. (1993). Acoustic control by wave field synthesis. The Journal of the Acoustical Society of America. 93(5). 2764–2778. 533 indexed citations breakdown →

16.

Wahr, John & D. de Vries. (1989). The possibility of lateral structure inside the core and its implications for nutation and Earth tide observations. Geophysical Journal International. 99(3). 511–519. 50 indexed citations

17.

Vries, D. de & A. J. Berkhout. (1984). Velocity analysis based on minimum entropy. Geophysics. 49(12). 2132–2142. 27 indexed citations

18.

Vries, D. de & A. J. Berkhout. (1981). Wave theoretical approach to acoustic focusing. The Journal of the Acoustical Society of America. 70(3). 740–748. 5 indexed citations

19.

Vries, D. de, et al.. (1979). Sound power radiated by a velocity monopole under reverberant and under freefield conditions. The Journal of the Acoustical Society of America. 65(2). 411–417. 1 indexed citations

20.

Berkhout, A. J., et al.. (1979). Theory of optimal plane diffusers. The Journal of the Acoustical Society of America. 65(5). 1334–1336. 4 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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