M.M. Riemens

766 total citations
26 papers, 407 citations indexed

About

M.M. Riemens is a scholar working on Plant Science, Insect Science and Agronomy and Crop Science. According to data from OpenAlex, M.M. Riemens has authored 26 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 9 papers in Insect Science and 6 papers in Agronomy and Crop Science. Recurrent topics in M.M. Riemens's work include Weed Control and Herbicide Applications (11 papers), Allelopathy and phytotoxic interactions (6 papers) and Biological Control of Invasive Species (6 papers). M.M. Riemens is often cited by papers focused on Weed Control and Herbicide Applications (11 papers), Allelopathy and phytotoxic interactions (6 papers) and Biological Control of Invasive Species (6 papers). M.M. Riemens collaborates with scholars based in Netherlands, Denmark and Italy. M.M. Riemens's co-authors include L.A.P. Lotz, C. Kempenaar, R.Y. van der Weide, Mette Sønderskov, Jonathan Storkey, Anna‐Camilla Moonen, Per Kudsk, M.J. Kropff, R.M.W. Groeneveld and P.O. Bleeker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Pollution and Ecological Applications.

In The Last Decade

M.M. Riemens

25 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.M. Riemens Netherlands 9 350 121 80 70 42 26 407
S. K. Cook United Kingdom 10 254 0.7× 103 0.9× 76 0.9× 65 0.9× 28 0.7× 42 357
Kris J. Mahoney Canada 10 404 1.2× 121 1.0× 92 1.1× 57 0.8× 26 0.6× 22 443
Eduardo Puricelli Argentina 8 292 0.8× 112 0.9× 78 1.0× 58 0.8× 16 0.4× 28 348
Andrew G. Hulting United States 15 416 1.2× 86 0.7× 149 1.9× 65 0.9× 41 1.0× 38 496
Beverly R. Durgan United States 14 347 1.0× 156 1.3× 78 1.0× 54 0.8× 36 0.9× 31 419
Samuel G. L. Kleemann Australia 12 316 0.9× 173 1.4× 56 0.7× 44 0.6× 16 0.4× 24 365
Vincent Faloya France 9 289 0.8× 105 0.9× 29 0.4× 49 0.7× 68 1.6× 16 387
Diane L. Benoît Canada 10 397 1.1× 171 1.4× 80 1.0× 82 1.2× 20 0.5× 16 500
Helen Metcalfe United Kingdom 9 318 0.9× 118 1.0× 34 0.4× 110 1.6× 60 1.4× 21 443
David Comont United Kingdom 14 435 1.2× 80 0.7× 134 1.7× 99 1.4× 38 0.9× 24 523

Countries citing papers authored by M.M. Riemens

Since Specialization
Citations

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

Fields of papers citing papers by M.M. Riemens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.M. Riemens

This figure shows the co-authorship network connecting the top 25 collaborators of M.M. Riemens. A scholar is included among the top collaborators of M.M. Riemens 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 M.M. Riemens. M.M. Riemens 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.
Riemens, M.M., Mette Sønderskov, Anna‐Camilla Moonen, Jonathan Storkey, & Per Kudsk. (2021). An Integrated Weed Management framework: A pan-European perspective. European Journal of Agronomy. 133. 126443–126443. 84 indexed citations
2.
Kudsk, Per, Mette Sønderskov, José Luis González Andújar, et al.. (2020). IWMPRAISE – An EU Horizon 2020 Project Providing Integrated Weed Management Solutions to European Farmers. Outlooks on Pest Management. 31(4). 152–159. 5 indexed citations
3.
Kudsk, Per, Mette Sønderskov, José Luis González Andújar, et al.. (2018). IWMPRAISE - an EU HORIZON 2020 project on Integrated Weed Management. 1 indexed citations
4.
Schaart, Jan G., M.M. Riemens, C.C.M. van de Wiel, L.A.P. Lotz, & M.J.M. Smulders. (2015). Opportunities of New Plant Breeding Techniques. Socio-Environmental Systems Modeling. 1 indexed citations
5.
Storkey, Jonathan, Niels Holst, Gionata Bocci, et al.. (2014). Combining a weed traits database with a population dynamics model predicts shifts in weed communities. Weed Research. 55(2). 206–218. 15 indexed citations
6.
Huiting, H.F., P.O. Bleeker, & M.M. Riemens. (2011). Control of perennial weeds by mechanical methods and anaerobic soil disinfection. Socio-Environmental Systems Modeling. 15–15. 1 indexed citations
7.
Riemens, M.M., P.O. Bleeker, R.M.W. Groeneveld, & R.Y. van der Weide. (2011). Bestrijding van Knopkruid : rapportage veldexperimenten 2009 en 2010. Socio-Environmental Systems Modeling. 1 indexed citations
8.
Weide, R.Y. van der, H.F. Huiting, P.O. Bleeker, & M.M. Riemens. (2011). Pro's and con's of reduced tillage in Maïze with respect to weeds. Socio-Environmental Systems Modeling. 13–14. 2 indexed citations
9.
Riemens, M.M., R.M.W. Groeneveld, M.J. Kropff, et al.. (2010). Linking Farmer Weed Management Behavior with Weed Pressure: More than Just Technology. Weed Science. 58(4). 490–496. 22 indexed citations
10.
Speijers, G.J.A., G.M. Alink, Sarah De Saeger, et al.. (2010). Evaluation of agronomic practices for mitigation of natural toxins.. Socio-Environmental Systems Modeling. 1–48. 6 indexed citations
11.
Franke, A.C., et al.. (2009). Setaria verticillata, Digitaria ischaemum and Geranium molle : biology and control, a review of literature. Socio-Environmental Systems Modeling. 2 indexed citations
13.
Melander, Bo, Niels Holst, A. Grundy, et al.. (2009). Weed occurrence on pavements in five North European towns. Weed Research. 49(5). 516–525. 29 indexed citations
14.
Riemens, M.M., R.Y. van der Weide, & W.T. Runia. (2008). Nutsedge, Biology and control of Cyperus rotundus ans Cyperus esculentus, review of a literature survey. Socio-Environmental Systems Modeling. 6 indexed citations
15.
Riemens, M.M. & R.Y. van der Weide. (2008). Galinsoga parviflora (Gallant soldier) : biology and controlof Galinsoga parviflora, overview of a literature survey. Socio-Environmental Systems Modeling. 1 indexed citations
16.
Riemens, M.M., et al.. (2007). Predicting sublethal effects of herbicides on terrestrial non-crop plant species in the field from greenhouse data. Environmental Pollution. 155(1). 141–149. 43 indexed citations
17.
Riemens, M.M., et al.. (2005). Risico's bij de mechanische bestrijding van onkruiden in biologische landbouw. Data Archiving and Networked Services (DANS). 36(2). 80–81. 1 indexed citations
18.
Riemens, M.M., et al.. (2004). Dormancy, germination and emergence of weed seeds, with emphasis on the influence of light : results of a literature survey. Organic Eprints (International Centre for Research in Organic Food Systems, and Research Institute of Organic Agriculture). 8 indexed citations
19.
Riemens, M.M., et al.. (2004). Effects of two herbicides and one fungicide on field margins : continuation of a study with the EPOP-model. Data Archiving and Networked Services (DANS). 2 indexed citations
20.
Riemens, M.M., et al.. (2004). Risico-beoordeling onkruiden in biologische landbouw. Socio-Environmental Systems Modeling. 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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