J.P. Mol-Dijkstra

25 papers receiving 330 citations

Peers

J.P. Mol-Dijkstra
Comparison fields: 5 of 46
  • Soil Science 102
  • Nature and Landscape Conservation 117
  • Environmental Chemistry 91
  • Ecological Modeling 30
  • Global and Planetary Change 142
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Friederike Gerschlauer Germany
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Citations per year

Countries citing papers authored by J.P. Mol-Dijkstra

Since Specialization
Citations

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

Fields of papers citing papers by J.P. Mol-Dijkstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.P. Mol-Dijkstra. 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.P. Mol-Dijkstra. The network helps show where J.P. Mol-Dijkstra may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201069
2 200962
3 200833
4 200930
5 200628
6 200217
7 201713
8
Uncertainty propagation in model chains: a case study in nature conservancy
200013
9 200412
10 200112
11
Vergelijking van SMART2SUMO en STONE in relatie tot de modellering van de effecten van landgebruiksverandering op de nutriëntenbeschikbaarheid
20059
12 20179
13 20029
14 20208
15
Mogelijkheden voor koolstofvastlegging in de Nederlandse landbouw en natuur
20127
16
Eerste fase van de ontwikkeling van het successie model SUMO 1; verbetering van de vegetatiemodellering in de Natuurplanner
20007
17 20166
18 19985
19
Validatie van de modellen SMART2, SUMO 1, NUCOM en MOVE op site-, regionaal en national niveau
20014
20
Variance-based regression-free uncertainty analysis for groups of inputs applied to a model chain in nature conservation
20004

About J.P. Mol-Dijkstra

J.P. Mol-Dijkstra is a scholar working on Ecology, Environmental Chemistry, Nature and Landscape Conservation, Soil Science and Global and Planetary Change, having authored 27 papers that have together received 369 indexed citations. Recurring topics across this work include Peatlands and Wetlands Ecology (12 papers), Soil and Water Nutrient Dynamics (11 papers), Soil Carbon and Nitrogen Dynamics (7 papers), Ecology and Vegetation Dynamics Studies (6 papers), Forest ecology and management (5 papers), Environmental Conservation and Management (4 papers), Species Distribution and Climate Change (3 papers) and Forest Management and Policy (3 papers). The work is most often cited by research in Soil Science (102 citations), Nature and Landscape Conservation (117 citations), Environmental Chemistry (91 citations), Ecological Modeling (30 citations) and Global and Planetary Change (142 citations). J.P. Mol-Dijkstra has collaborated with scholars based in Netherlands, United States and Ireland. Frequent co-authors include J. Kros, W. de Vries, G.W.W. Wamelink, G.J. Reinds, H.F. van Dobben, Marcel van Oijen, A. van Hinsberg, Hans Kros, Frank Berendse and M.J.W. Jansen. Their work appears in journals such as Hydrology and earth system sciences, Forest Ecology and Management, Environmental Pollution, Stochastic Environmental Research and Risk Assessment and Ecosystems.

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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