M.J.W. Jansen

25 papers receiving 784 citations

Peers

M.J.W. Jansen
Comparison fields: 5 of 114
  • Statistics, Probability and Uncertainty 273
  • Environmental Engineering 127
  • Soil Science 67
  • Environmental Chemistry 59
  • Global and Planetary Change 108
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Matieyendou Lamboni France
John H. Schaibly United States
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Citations per year

Countries citing papers authored by M.J.W. Jansen

Since Specialization
Citations

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

Fields of papers citing papers by M.J.W. Jansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M.J.W. Jansen, 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 M.J.W. Jansen Line = papers co-authored together M.J.W. Jansen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999408
2
Review of Saltelli, A. & Chan, K. & E.M.Scott (Eds) (2000), Sensitivity analysis. Wiley (2000)
2001123
3 200550
4 199732
5 199831
6 199428
7 200628
8 199418
9 199718
10 200415
11 199715
12 200313
13
Uncertainty propagation in model chains: a case study in nature conservancy
200013
14
Crop growth simulation and statistical validation for regional yield forecasting across the European Community
199310
15
Nitrogen responses in grass and selected field crops: QUAD-MOD parameterisation and extension for STONE-application
200010
16 19917
17
Calibration in a Bayesian modelling framework
20045
18
RIGAUS : random input generator for the analysis of uncertainty in simulation
19935
19
Variance-based regression-free uncertainty analysis for groups of inputs applied to a model chain in nature conservation
20004
20 20003

About M.J.W. Jansen

M.J.W. Jansen is a scholar working on Environmental Engineering, Plant Science, Statistics, Probability and Uncertainty, Management, Monitoring, Policy and Law and Soil Science, having authored 26 papers that have together received 848 indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (4 papers), Probabilistic and Robust Engineering Design (4 papers), Environmental Conservation and Management (3 papers), Agricultural risk and resilience (2 papers), Soil and Water Nutrient Dynamics (2 papers), Economic and Environmental Valuation (2 papers), Statistical Methods and Bayesian Inference (2 papers) and Rice Cultivation and Yield Improvement (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (273 citations), Environmental Engineering (127 citations), Soil Science (67 citations), Environmental Chemistry (59 citations) and Global and Planetary Change (108 citations). M.J.W. Jansen has collaborated with scholars based in Netherlands, United States and Philippines. Frequent co-authors include W.A.H. Rossing, R. A. Daamen, D.J. Brus, J.D. van Klaveren, Maria‐João Paulo, Hilko van der Voet, Cajo J. F. ter Braak, H.F.M. ten Berge, J.P. Mol-Dijkstra and J. Kros. Their work appears in journals such as Agricultural Systems, Field Crops Research, Annals of Applied Biology, Ecosystems and Pest Management Science.

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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