Marjolein Derks

591 total citations
25 papers, 429 citations indexed

About

Marjolein Derks is a scholar working on Agronomy and Crop Science, Small Animals and Animal Science and Zoology. According to data from OpenAlex, Marjolein Derks has authored 25 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Agronomy and Crop Science, 12 papers in Small Animals and 6 papers in Animal Science and Zoology. Recurrent topics in Marjolein Derks's work include Animal Behavior and Welfare Studies (12 papers), Animal Disease Management and Epidemiology (6 papers) and Genetic and phenotypic traits in livestock (4 papers). Marjolein Derks is often cited by papers focused on Animal Behavior and Welfare Studies (12 papers), Animal Disease Management and Epidemiology (6 papers) and Genetic and phenotypic traits in livestock (4 papers). Marjolein Derks collaborates with scholars based in Netherlands, Sweden and Bhutan. Marjolein Derks's co-authors include H. Hogeveen, T. van Werven, W.D.J. Kremer, P.W.G. Groot Koerkamp, N.C. Friggens, Gert Kootstra, Marko P. Hekkert, Jerry van Dijk, Gerrit Koop and Olivier Martin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and Geoderma.

In The Last Decade

Marjolein Derks

23 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marjolein Derks Netherlands 12 216 174 104 75 56 25 429
Fiona Lovatt United Kingdom 13 190 0.9× 256 1.5× 107 1.0× 40 0.5× 57 1.0× 65 574
N.I. Valeeva Netherlands 10 209 1.0× 159 0.9× 63 0.6× 39 0.5× 65 1.2× 19 425
Karin Alvåsen Sweden 10 129 0.6× 204 1.2× 90 0.9× 131 1.7× 59 1.1× 24 331
M. Hovi United Kingdom 10 341 1.6× 237 1.4× 98 0.9× 104 1.4× 92 1.6× 31 623
László Ózsvári Hungary 12 197 0.9× 103 0.6× 153 1.5× 96 1.3× 57 1.0× 73 589
Erling Kristensen Denmark 5 203 0.9× 155 0.9× 83 0.8× 21 0.3× 51 0.9× 6 329
Bouda Vosough Ahmadi United Kingdom 12 165 0.8× 151 0.9× 64 0.6× 94 1.3× 22 0.4× 32 412
C. Jill Stowe United States 7 170 0.8× 159 0.9× 120 1.2× 104 1.4× 14 0.3× 25 380
Clarissa Silva Cardoso Brazil 8 102 0.5× 357 2.1× 166 1.6× 156 2.1× 127 2.3× 10 481
Melissa G.S. McKendree United States 8 62 0.3× 163 0.9× 91 0.9× 60 0.8× 109 1.9× 25 366

Countries citing papers authored by Marjolein Derks

Since Specialization
Citations

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

Fields of papers citing papers by Marjolein Derks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marjolein Derks

This figure shows the co-authorship network connecting the top 25 collaborators of Marjolein Derks. A scholar is included among the top collaborators of Marjolein Derks 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 Marjolein Derks. Marjolein Derks 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.
2.
Kootstra, Gert, et al.. (2025). Transformer-based similarity learning for re-identification of chickens. Smart Agricultural Technology. 11. 100945–100945.
3.
Wagemakers, Annemarie, et al.. (2024). Socio-environmental systems in technology adoption in animal husbandry in South-East Asia: A framework synthesis approach. Socio-Environmental Systems Modeling. 96(1). 1 indexed citations
4.
Dijk, Jerry van, et al.. (2023). Spheres of transformation: exploring personal, political and practical drivers of farmer agency and behaviour change in the Netherlands. Environmental Innovation and Societal Transitions. 49. 100776–100776. 8 indexed citations
5.
Koop, Gerrit, Fabrizio Ceciliani, Marjolein Derks, et al.. (2023). The prevalence and risk factors of subclinical mastitis in water buffalo (Bubalis bubalis) in Bangladesh. Research in Veterinary Science. 158. 17–25. 10 indexed citations
6.
Bari, Md Saiful, Ylva Persson, Marjolein Derks, et al.. (2022). Subclinical mastitis in dairy cows in south-Asian countries: a review of risk factors and etiology to prioritize control measures. Veterinary Research Communications. 46(3). 621–640. 25 indexed citations
7.
Derks, Marjolein, et al.. (2022). ChickenNet - an end-to-end approach for plumage condition assessment of laying hens in commercial farms using computer vision. Computers and Electronics in Agriculture. 194. 106695–106695. 22 indexed citations
8.
Dijk, Jerry van, et al.. (2021). A new green revolution or agribusiness as usual? Uncovering alignment issues and potential transition complications in agri-food system transitions. Agronomy for Sustainable Development. 41(6). 28 indexed citations
9.
Derks, Marjolein, et al.. (2021). Welfare and management practices of free-ranging yaks in Bhutan. Socio-Environmental Systems Modeling. 1 indexed citations
10.
Derks, Marjolein, et al.. (2021). Transition towards sustainable yak farming in Bhutan: stakeholders’ viewpoints and recommendations for future steps. International Journal of Agricultural Sustainability. 20(1). 68–87. 4 indexed citations
11.
Derks, Marjolein, et al.. (2020). The Future of Yak Farming from the Perspective of Yak Herders and Livestock Professionals. Sustainability. 12(10). 4217–4217. 10 indexed citations
12.
Martin, Olivier, et al.. (2018). Coupling a reproductive function model to a productive function model to simulate lifetime performance in dairy cows. animal. 13(3). 570–579. 2 indexed citations
13.
Friggens, N.C., et al.. (2017). Estimating probability of insemination success using milk progesterone measurements. Journal of Dairy Science. 101(2). 1648–1660. 12 indexed citations
14.
Derks, Marjolein, et al.. (2016). Overview of progesterone profiles in dairy cows. Theriogenology. 86(4). 1061–1071. 27 indexed citations
15.
Derks, Marjolein, T. van Werven, H. Hogeveen, & W.D.J. Kremer. (2014). Associations between farmer participation in veterinary herd health management programs and farm performance. Journal of Dairy Science. 97(3). 1336–1347. 29 indexed citations
16.
Derks, Marjolein, et al.. (2014). Financial aspects of veterinary herd health management programmes. Veterinary Record. 175(9). 224–224. 11 indexed citations
17.
Derks, Marjolein, et al.. (2014). Efficiency of dairy farms participating and not participating in veterinary herd health management programs. Preventive Veterinary Medicine. 117(3-4). 478–486. 10 indexed citations
18.
Derks, Marjolein, T. van Werven, H. Hogeveen, & W.D.J. Kremer. (2013). Veterinary herd health management programs on dairy farms in the Netherlands: Use, execution, and relations to farmer characteristics. Journal of Dairy Science. 96(3). 1623–1637. 61 indexed citations
19.
Derks, Marjolein, et al.. (2013). Veterinarian awareness of farmer goals and attitudes to herd health management in The Netherlands. The Veterinary Journal. 198(1). 224–228. 45 indexed citations
20.
Derks, Marjolein, et al.. (2012). The perception of veterinary herd health management by Dutch dairy farmers and its current status in the Netherlands: A survey. Preventive Veterinary Medicine. 104(3-4). 207–215. 63 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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