D. van de Geer

466 citations
13 papers · 388 indexed · h-index 8
Topics
Milk Quality and Mastitis in Dairy Cows (10 papers)Animal Behavior and Welfare Studies (5 papers)Microbial infections and disease research (2 papers)
Partner nations
Netherlands

In The Last Decade

D. van de Geer

12 papers receiving 342 citations

Peers

D. van de Geer
Comparison fields: 5 of 44
  • Agronomy and Crop Science 353
  • Genetics 132
  • Small Animals 119
  • Food Science 116
  • Microbiology 73
Replace W.J.A. Hanekamp with:
W.J.A. Hanekamp Netherlands
H. Wilmink Netherlands
E.J. Peeler United Kingdom
J. Timmerman United States
A. M. Dulin United States
Maria Åkerstedt Sweden
M.J. Thomas United States
S.J. Lacy-Hulbert New Zealand
Sam Rowe United States
M. Vasiľ Slovakia
D. van de Geer relative to W.J.A. Hanekamp Netherlands W.J.A. Hanekamp's profile →
Citations per field
00.5×1.5×
W.J.A. Hanekamp · 1×
Citations per year

Countries citing papers authored by D. van de Geer

Since Specialization
Citations

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

Fields of papers citing papers by D. van de Geer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. van de Geer. 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 D. van de Geer. The network helps show where D. van de Geer may publish in the future.

Co-authorship network of co-authors of D. van de Geer

This figure shows the co-authorship network connecting the top 25 collaborators of D. van de Geer. A scholar is included among the top collaborators of D. van de Geer 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 D. van de Geer. D. van de Geer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 2
2 80
3 105
4
Risk factors for clinical mastitis in herds with a low bulk milk somatic cell count. II. Risk factors for E. coli and S. aureus.
4
5
Risk factors for clinical mastitis in herds with a low bulk milk somatic cell count. I. The data and risk factors for all cases.
7
6 81
7 40
8 20
9 17
10 17
11 8
12 7
13
[Prevention of Teat Injuries in Dairy Cattle by Remodelling of Tying Stalls (author's transl)].
0

About D. van de Geer

D. van de Geer is a scholar working on Agronomy and Crop Science, Small Animals and Microbiology, having authored 13 papers that have together received 388 indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (10 papers), Animal Behavior and Welfare Studies (5 papers) and Microbial infections and disease research (2 papers). The work is most often cited by research in Agronomy and Crop Science (353 citations), Small Animals (119 citations) and Microbiology (73 citations). D. van de Geer has collaborated with scholars based in Netherlands. Frequent co-authors include F.J. Grommers, A. Brand, Y.H. Schukken, H. N. Erb, J. A. Smit, Paul A. J. Henricks, Hans van Vliet, Frans P. Nijkamp and Joost J.C. Verhoeff. Their work appears in journals such as Journal of Dairy Science, Veterinary Record and Preventive Veterinary Medicine.

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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