T. Dijkstra

752 total citations
21 papers, 564 citations indexed

About

T. Dijkstra is a scholar working on Agronomy and Crop Science, Small Animals and Parasitology. According to data from OpenAlex, T. Dijkstra has authored 21 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Agronomy and Crop Science, 8 papers in Small Animals and 7 papers in Parasitology. Recurrent topics in T. Dijkstra's work include Animal Behavior and Welfare Studies (8 papers), Animal Disease Management and Epidemiology (7 papers) and Toxoplasma gondii Research Studies (6 papers). T. Dijkstra is often cited by papers focused on Animal Behavior and Welfare Studies (8 papers), Animal Disease Management and Epidemiology (7 papers) and Toxoplasma gondii Research Studies (6 papers). T. Dijkstra collaborates with scholars based in Netherlands, Morocco and Canada. T. Dijkstra's co-authors include G. van Schaik, I.J.M. de Boer, M. de Vries, E.A.M. Bokkers, B. Engel, C.J.M. Bartels, W. Wouda, C.G. van Reenen, Raphaëlle Botreau and C. van Maanen and has published in prestigious journals such as Journal of Dairy Science, Veterinary Parasitology and Veterinary Record.

In The Last Decade

T. Dijkstra

20 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Dijkstra Netherlands 11 345 259 208 168 100 21 564
JWA Larsen Australia 15 417 1.2× 160 0.6× 106 0.5× 112 0.7× 179 1.8× 43 664
C. F. Parker United States 18 361 1.0× 306 1.2× 294 1.4× 205 1.2× 183 1.8× 44 836
N. Byrne Ireland 15 167 0.5× 151 0.6× 308 1.5× 230 1.4× 59 0.6× 23 591
J.P. Bergeaud France 17 467 1.4× 210 0.8× 59 0.3× 94 0.6× 211 2.1× 25 763
Christelle Grisez France 16 377 1.1× 165 0.6× 79 0.4× 109 0.6× 343 3.4× 36 702
M. J. Bryant United Kingdom 14 111 0.3× 204 0.8× 269 1.3× 171 1.0× 71 0.7× 42 584
M. Wheeler New Zealand 14 522 1.5× 245 0.9× 103 0.5× 333 2.0× 132 1.3× 36 729
Patrízia Ana Bricarello Brazil 15 729 2.1× 342 1.3× 81 0.4× 129 0.8× 333 3.3× 37 897
Amy Jennings United Kingdom 14 137 0.4× 85 0.3× 142 0.7× 124 0.7× 176 1.8× 33 498
E. Simensen Norway 14 217 0.6× 169 0.7× 236 1.1× 200 1.2× 22 0.2× 37 505

Countries citing papers authored by T. Dijkstra

Since Specialization
Citations

This map shows the geographic impact of T. 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 T. Dijkstra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Dijkstra more than expected).

Fields of papers citing papers by T. Dijkstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Dijkstra

This figure shows the co-authorship network connecting the top 25 collaborators of T. Dijkstra. A scholar is included among the top collaborators of T. Dijkstra 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 T. Dijkstra. T. Dijkstra 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.
Veldhuis, Anouk, et al.. (2024). Evaluation of a data-driven youngstock rearing quality system in Dutch dairy herds (2019–2022). Preventive Veterinary Medicine. 232. 106312–106312.
2.
Santman-Berends, I.M.G.A., C.G.M. Scherpenzeel, Karianne Lievaart‐Peterson, et al.. (2024). Bluetongue virus serotype 3 in ruminants in the Netherlands: Clinical signs, seroprevalence and pathological findings. Veterinary Record. 195(4). e4533–e4533. 20 indexed citations
3.
Weber, M.F., Marian Aalberts, T. Dijkstra, & Y.H. Schukken. (2022). Predicting Positive ELISA Results in Dairy Herds with a Preferred Status in a Paratuberculosis Control Program. Animals. 12(3). 384–384. 1 indexed citations
4.
Santman-Berends, I.M.G.A., M.H. Mars, M.F. Weber, et al.. (2021). Control and Eradication Programs for Six Cattle Diseases in the Netherlands. Frontiers in Veterinary Science. 8. 670419–670419. 8 indexed citations
5.
Engelen, Erik van, et al.. (2020). Bacterial flora associated with udder cleft dermatitis in Dutch dairy cows. Journal of Dairy Science. 104(1). 728–735. 8 indexed citations
6.
Vries, M. de, E.A.M. Bokkers, G. van Schaik, et al.. (2016). Improving the time efficiency of identifying dairy herds with poorer welfare in a population. Journal of Dairy Science. 99(10). 8282–8296. 17 indexed citations
7.
Bouma, A., et al.. (2016). Longitudinal study of udder cleft dermatitis in 5 Dutch dairy cattle herds. Journal of Dairy Science. 99(6). 4487–4495. 16 indexed citations
8.
Metz, J.H.M., T. Dijkstra, P. Franken, & K. Frankena. (2015). Development and application of a protocol to evaluate herd welfare in Dutch dairy farms. Livestock Science. 180. 183–193. 9 indexed citations
9.
Vries, M. de, E.A.M. Bokkers, C.G. van Reenen, et al.. (2014). Housing and management factors associated with indicators of dairy cattle welfare. Preventive Veterinary Medicine. 118(1). 80–92. 102 indexed citations
10.
Vries, M. de, E.A.M. Bokkers, G. van Schaik, et al.. (2013). Evaluating results of the Welfare Quality multi-criteria evaluation model for classification of dairy cattle welfare at the herd level. Journal of Dairy Science. 96(10). 6264–6273. 80 indexed citations
11.
Vries, M. de, E.A.M. Bokkers, G. van Schaik, et al.. (2013). Exploring the value of routinely collected herd data for estimating dairy cattle welfare. Journal of Dairy Science. 97(2). 715–730. 57 indexed citations
12.
Vries, M. de, B. Engel, G. van Schaik, et al.. (2013). Assessment time of the Welfare Quality®protocol for dairy cattle. Animal Welfare. 22(1). 85–93. 30 indexed citations
13.
Vries, M. de, G. van Schaik, E.A.M. Bokkers, T. Dijkstra, & I.J.M. de Boer. (2011). Characteristics of dairy herds in different Welfare Quality categories. Socio-Environmental Systems Modeling. 9–9. 1 indexed citations
14.
Vries, M. de, E.A.M. Bokkers, T. Dijkstra, G. van Schaik, & I.J.M. de Boer. (2011). Invited review: Associations between variables of routine herd data and dairy cattle welfare indicators. Journal of Dairy Science. 94(7). 3213–3228. 89 indexed citations
15.
Bartels, C.J.M., et al.. (2007). Quantification of vertical and horizontal transmission of Neospora caninum infection in Dutch dairy herds. Veterinary Parasitology. 148(2). 83–92. 37 indexed citations
16.
Bartels, C.J.M., G. van Schaik, Kees van Maanen, W. Wouda, & T. Dijkstra. (2007). Factors associated with variation in Neospora caninum bulk-milk S/P ratios in initially bulk-milk negative testing Dutch dairy herds. Preventive Veterinary Medicine. 81(4). 265–273. 6 indexed citations
17.
18.
Bartels, C.J.M., et al.. (2005). Evaluation of three enzyme-linked immunosorbent assays for detection of antibodies to Neospora caninum in bulk milk. Veterinary Parasitology. 131(3-4). 235–246. 34 indexed citations
19.
Dijkstra, T.. (2002). Horizontal and vertical transmission of Neospora caninum. 4 indexed citations
20.
Dijkstra, T., et al.. (1992). [Ascaris suum infection as a cause of clinical problems in cattle?].. PubMed. 117(10). 296–8. 2 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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