J. D. Jansen

6.3k total citations · 1 hit paper
180 papers, 5.3k citations indexed

About

J. D. Jansen is a scholar working on Ocean Engineering, Mechanical Engineering and Geophysics. According to data from OpenAlex, J. D. Jansen has authored 180 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Ocean Engineering, 115 papers in Mechanical Engineering and 22 papers in Geophysics. Recurrent topics in J. D. Jansen's work include Reservoir Engineering and Simulation Methods (142 papers), Hydraulic Fracturing and Reservoir Analysis (115 papers) and Enhanced Oil Recovery Techniques (68 papers). J. D. Jansen is often cited by papers focused on Reservoir Engineering and Simulation Methods (142 papers), Hydraulic Fracturing and Reservoir Analysis (115 papers) and Enhanced Oil Recovery Techniques (68 papers). J. D. Jansen collaborates with scholars based in Netherlands, Brazil and United States. J. D. Jansen's co-authors include D. R. Brouwer, Paul M.J. Van den Hof, О.H. Bosgra, M. J. Zandvliet, G. M. van Essen, R. Markovinović, L. van den Steen, C. P. J. W. van Kruijsdijk, R.M. Fonseca and Geir Nævdal and has published in prestigious journals such as Journal of Computational Physics, Journal of Hydrology and International Journal for Numerical Methods in Engineering.

In The Last Decade

J. D. Jansen

172 papers receiving 5.0k citations

Hit Papers

Dynamic Optimization of Waterflooding With Smart Wells Us... 2004 2026 2011 2018 2004 100 200 300
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.

  1. Dynamic Optimization of Waterflooding With Smart Wells Using Optimal Control Theory
    2004 379 citations J. D. Jansen et al. SPE Journal profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. D. Jansen Netherlands 37 4.7k 3.7k 385 361 340 180 5.3k
Eduardo Gildin United States 20 979 0.2× 802 0.2× 80 0.2× 79 0.2× 104 0.3× 133 1.4k
Arvid Næss Norway 34 1.2k 0.2× 916 0.2× 319 0.8× 1.2k 3.3× 1.1k 3.2× 217 4.1k
Ahmed H. Elsheikh United Kingdom 23 618 0.1× 481 0.1× 183 0.5× 101 0.3× 362 1.1× 87 1.5k
Behnam Jafarpour United States 27 2.0k 0.4× 1.5k 0.4× 100 0.3× 62 0.2× 801 2.4× 148 2.6k
Bernt J. Leira Norway 28 1.0k 0.2× 631 0.2× 395 1.0× 662 1.8× 324 1.0× 235 2.7k
Pallav Sarma United States 19 1.8k 0.4× 1.4k 0.4× 108 0.3× 26 0.1× 273 0.8× 55 2.0k
R. Raghavan United States 41 5.7k 1.2× 6.3k 1.7× 44 0.1× 182 0.5× 1.4k 4.2× 195 6.8k
Shahab D. Mohaghegh United States 31 2.8k 0.6× 2.3k 0.6× 128 0.3× 71 0.2× 290 0.9× 174 3.5k
Guohua Gao Netherlands 25 1.4k 0.3× 1.1k 0.3× 96 0.2× 89 0.2× 154 0.5× 88 1.5k
Yuedong Yao China 33 2.1k 0.4× 1.8k 0.5× 39 0.1× 59 0.2× 537 1.6× 91 3.0k

Countries citing papers authored by J. D. Jansen

Since Specialization
Citations

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

Fields of papers citing papers by J. D. Jansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. D. Jansen

This figure shows the co-authorship network connecting the top 25 collaborators of J. D. Jansen. A scholar is included among the top collaborators of J. D. Jansen 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 J. D. Jansen. J. D. Jansen 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.
Meulenbroek, Bernard, et al.. (2024). On the Derivation of Closed‐Form Expressions for Displacements, Strains, and Stresses Inside Poroelastic Reservoirs. Journal of Geophysical Research Solid Earth. 129(2). 3 indexed citations
2.
Voskov, Denis, et al.. (2024). Benchmarking numerical simulation of induced fault slip with semi-analytical solutions. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 10(1). 1 indexed citations
3.
Jansen, J. D., et al.. (2023). Steady-State Flow Through a Subsurface Reservoir with a Displaced Fault and its Poro-elastic Effects on Fault Stresses. Transport in Porous Media. 150(3). 709–734. 3 indexed citations
4.
Jansen, J. D., et al.. (2023). Laboratory study on the effect of stress cycling pattern and rate on seismicity evolution. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 9(1). 7 indexed citations
5.
Vuik, C., et al.. (2018). POD-based deflation techniques for the solution of two-phase flow problems in large and highly heterogeneous porous media. 1 indexed citations
6.
Jansen, J. D.. (2017). Nodal Analysis of Oil and Gas Production Systems. 18 indexed citations
7.
Vuik, C., et al.. (2017). On POD-based Deflation Vectors for DPCG applied to porous media problems. Journal of Computational and Applied Mathematics. 330. 193–213. 9 indexed citations
8.
Hof, Paul M.J. Van den, et al.. (2017). Flow-based dissimilarity measures for reservoir models: a spatial-temporal tensor approach. Computational Geosciences. 21(4). 645–663. 5 indexed citations
9.
10.
Jansen, J. D.. (2013). The Egg Model - data files. Data Archiving and Networked Services (DANS). 4 indexed citations
11.
Fonseca, R.M., O. Leeuwenburgh, Paul M.J. Van den Hof, & J. D. Jansen. (2013). Improving the Ensemble Optimization Method Through Covariance Matrix Adaptation (CMA-EnOpt). TU/e Research Portal. 16 indexed citations
12.
Zaumanis, Mārtiņš, et al.. (2012). Development of Calculation Tool for Assessing the Energy Demand of Warm Mix Asphalt. Procedia - Social and Behavioral Sciences. 48. 163–172. 20 indexed citations
13.
14.
Jansen, J. D., et al.. (2008). Behaviour and Impact of Dynamic Induced Fractures in Waterflooding and EOR. 5 indexed citations
15.
Jansen, J. D., et al.. (2008). Comparison of the ensemble Kalman filter and a modified representer method for sensitivity to prior data. Data Archiving and Networked Services (DANS). 2 indexed citations
16.
Jansen, J. D., et al.. (2007). An efficient gradient-based parameter estimation algorithm using representer expansions. Research Repository (Delft University of Technology). 1 indexed citations
17.
Jansen, J. D., et al.. (2007). Sensitivity of Geostatistical Modeling Parameters on Reservoir Flow Behavior. 1 indexed citations
18.
Markovinović, R., et al.. (2006). Use of POD in control of flow through porous media. Research Repository (Delft University of Technology). 2 indexed citations
19.
Markovinović, R., et al.. (2004). Reduced-Order Optimal Control of Waterflooding Using POD. 19 indexed citations
20.
Jansen, J. D., et al.. (1993). A numerical parameter study for a turbulent backward facing step problem. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 6(2). 144–154. 1 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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