Lourens Veen

479 total citations
21 papers, 265 citations indexed

About

Lourens Veen is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Lourens Veen has authored 21 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 4 papers in Computational Theory and Mathematics and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Lourens Veen's work include Probabilistic and Robust Engineering Design (4 papers), Distributed and Parallel Computing Systems (3 papers) and Species Distribution and Climate Change (3 papers). Lourens Veen is often cited by papers focused on Probabilistic and Robust Engineering Design (4 papers), Distributed and Parallel Computing Systems (3 papers) and Species Distribution and Climate Change (3 papers). Lourens Veen collaborates with scholars based in Netherlands, Germany and United States. Lourens Veen's co-authors include Alfons G. Hoekstra, Willem Bouten, G.J. Veldhuis, Paul Lambeck, Hidde Leijnse, Jurriaan H. Spaaks, Stijn Van Hoey, Peter Desmet, Cecilia Nilsson and Andrew Farnsworth and has published in prestigious journals such as Journal of Neurology Neurosurgery & Psychiatry, International Journal of Remote Sensing and Journal of Lightwave Technology.

In The Last Decade

Lourens Veen

20 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lourens Veen Netherlands 10 77 41 40 29 26 21 265
T. Head United States 6 14 0.2× 15 0.4× 31 0.8× 8 0.3× 6 0.2× 11 289
Douglas A. Augusto Brazil 9 15 0.2× 12 0.3× 7 0.2× 13 0.4× 3 0.1× 23 219
Ankur Jain United States 9 47 0.6× 36 0.9× 65 1.6× 6 0.2× 6 0.2× 22 274
Alan G. Leach United States 10 198 2.6× 46 1.1× 18 0.5× 33 1.1× 39 1.5× 22 422
Xiaotong Liu China 10 37 0.5× 23 0.6× 11 0.3× 9 0.3× 41 326
Hironori Hirata Japan 9 37 0.5× 59 1.4× 24 0.6× 2 0.1× 9 0.3× 78 341
Nan Chen China 12 102 1.3× 61 1.5× 48 1.2× 7 0.2× 60 505
Naman Goel United States 9 96 1.2× 58 1.4× 10 0.3× 7 0.2× 26 256
Kevin Verbeek Netherlands 11 56 0.7× 20 0.5× 20 0.5× 8 0.3× 42 427
Panagiotis Sidiropoulos United Kingdom 15 82 1.1× 18 0.4× 17 0.4× 5 0.2× 58 692

Countries citing papers authored by Lourens Veen

Since Specialization
Citations

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

Fields of papers citing papers by Lourens Veen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lourens Veen

This figure shows the co-authorship network connecting the top 25 collaborators of Lourens Veen. A scholar is included among the top collaborators of Lourens Veen 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 Lourens Veen. Lourens Veen 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.
Veen, Lourens, et al.. (2022). Multi-domain network infrastructure based on P4 programmable devices for Digital Data Marketplaces. Cluster Computing. 25(4). 2953–2966. 1 indexed citations
2.
Beusekom, Bart van, et al.. (2022). An Improved Infrastructure for Privacy-Preserving Analysis of Patient Data. Studies in health technology and informatics. 295. 144–147. 5 indexed citations
3.
Veen, Lourens, et al.. (2021). Uncertainty quantification patterns for multiscale models. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 379(2197). 20200072–20200072. 9 indexed citations
4.
Suleimenova, Diana, Hamid Arabnejad, Wouter Edeling, et al.. (2021). Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit. Journal of Computational Science. 53. 101402–101402. 6 indexed citations
5.
Veen, Lourens, et al.. (2020). . arXiv (Cornell University). 17 indexed citations
6.
Veen, Lourens, et al.. (2020). Evaluation of Container Overlays for Secure Data Sharing. UvA-DARE (University of Amsterdam). 99–108. 4 indexed citations
7.
Caron, Bertrand, et al.. (2019). Automated partial atomic charge assignment for drug-like molecules: a fast knapsack approach. Algorithms for Molecular Biology. 14(1). 1–1. 10 indexed citations
8.
Veen, Lourens, et al.. (2019). Modeling and Matching Digital Data Marketplace Policies. UvA-DARE (University of Amsterdam). 570–577. 4 indexed citations
9.
Veen, Lourens, et al.. (2019). Semi-intrusive multiscale metamodelling uncertainty quantification with application to a model of in-stent restenosis. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 377(2142). 20180154–20180154. 8 indexed citations
10.
Groen, Derek, Jaroslaw Knap, Philipp Neumann, et al.. (2019). Mastering the scales: a survey on the benefits of multiscale computing software. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 377(2142). 20180147–20180147. 27 indexed citations
11.
Dokter, Adriaan M., Peter Desmet, Jurriaan H. Spaaks, et al.. (2018). bioRad: biological analysis and visualization of weather radar data. Ecography. 42(5). 852–860. 79 indexed citations
12.
Kissling, W. Daniel, et al.. (2018). Spatial scale dependence of factors driving climate regulation services in the Americas. Global Ecology and Biogeography. 27(7). 828–838. 10 indexed citations
13.
Veen, Lourens, et al.. (2018). Uncertainty Quantification of a Multiscale Model for In-Stent Restenosis. Cardiovascular Engineering and Technology. 9(4). 761–774. 16 indexed citations
14.
Caron, Bertrand, et al.. (2018). Multiple-Choice Knapsack for Assigning Partial Atomic Charges in Drug-Like Molecules. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 2 indexed citations
15.
Chopard, Bastien, et al.. (2018). Multiscale modeling: recent progress and open questions. Multiscale and Multidisciplinary Modeling Experiments and Design. 1(1). 57–68. 13 indexed citations
16.
Hubers, Anna A.M., Roos C. van der Mast, Alberto M. Pereira, et al.. (2014). D05 Hypothalamic-pituitary-adrenal Axis Activity in Huntington's Disease And Its Association With Depressive Symptoms And Suicidality. Journal of Neurology Neurosurgery & Psychiatry. 85(Suppl 1). A33–A33. 1 indexed citations
17.
Veen, Lourens, et al.. (2012). A semantically integrated, user-friendly data model for species observation data. Ecological Informatics. 8. 1–9. 6 indexed citations
18.
Veen, Lourens, et al.. (2011). The NDFF-EcoGRID Logical Data Model Version 3. Digestive Diseases and Sciences. 28(6). 573–4. 1 indexed citations
19.
Akal, Fuat, Can Türker, Hans‐Jörg Schek, et al.. (2005). Fine-grained replication and scheduling with freshness and correctness guarantees. Very Large Data Bases. 565–576. 22 indexed citations
20.
Veldhuis, G.J., Lourens Veen, & Paul Lambeck. (1999). Integrated optical refractometer based on waveguide bend loss. Journal of Lightwave Technology. 17(5). 857–864. 23 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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