Dan Børge Jensen

468 total citations
30 papers, 317 citations indexed

About

Dan Børge Jensen is a scholar working on Animal Science and Zoology, Agronomy and Crop Science and Small Animals. According to data from OpenAlex, Dan Børge Jensen has authored 30 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Animal Science and Zoology, 11 papers in Agronomy and Crop Science and 8 papers in Small Animals. Recurrent topics in Dan Børge Jensen's work include Effects of Environmental Stressors on Livestock (7 papers), Genetic and phenotypic traits in livestock (6 papers) and Animal Behavior and Welfare Studies (6 papers). Dan Børge Jensen is often cited by papers focused on Effects of Environmental Stressors on Livestock (7 papers), Genetic and phenotypic traits in livestock (6 papers) and Animal Behavior and Welfare Studies (6 papers). Dan Børge Jensen collaborates with scholars based in Denmark, Vietnam and Netherlands. Dan Børge Jensen's co-authors include H. Hogeveen, Albert De Vries, Lene Juul Pedersen, Anders Ringgaard Kristensen, Nils Toft, Mariska van der Voort, Mona Lilian Vestbjerg Larsen, J. L. Kleen, N.N. Jonsson and Matthew Denwood and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Dairy Science.

In The Last Decade

Dan Børge Jensen

29 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Børge Jensen Denmark 11 155 132 126 77 60 30 317
Katrine Kop Fogsgaard Denmark 8 223 1.4× 195 1.5× 178 1.4× 87 1.1× 38 0.6× 14 318
Katharine M Wood Canada 12 177 1.1× 180 1.4× 274 2.2× 103 1.3× 24 0.4× 59 489
Jennifer Salau Germany 12 229 1.5× 188 1.4× 66 0.5× 96 1.2× 58 1.0× 26 351
Christopher D. Reinhardt United States 11 99 0.6× 223 1.7× 216 1.7× 67 0.9× 21 0.3× 46 379
Isabella Lora Italy 10 184 1.2× 194 1.5× 124 1.0× 102 1.3× 26 0.4× 30 374
P. Superchi Italy 13 126 0.8× 283 2.1× 98 0.8× 138 1.8× 52 0.9× 41 463
J. K. Ahola United States 11 142 0.9× 188 1.4× 236 1.9× 166 2.2× 26 0.4× 36 434
Semra Kaya Türkiye 9 165 1.1× 160 1.2× 254 2.0× 87 1.1× 38 0.6× 38 397
Luisa Magrin Italy 12 117 0.8× 123 0.9× 98 0.8× 90 1.2× 20 0.3× 41 287
Xinjun Qiu China 9 109 0.7× 161 1.2× 226 1.8× 78 1.0× 27 0.5× 18 355

Countries citing papers authored by Dan Børge Jensen

Since Specialization
Citations

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

Fields of papers citing papers by Dan Børge Jensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Børge Jensen. 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 Dan Børge Jensen. The network helps show where Dan Børge Jensen may publish in the future.

Co-authorship network of co-authors of Dan Børge Jensen

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Børge Jensen. A scholar is included among the top collaborators of Dan Børge Jensen 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 Dan Børge Jensen. Dan Børge Jensen 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.
Jensen, Dan Børge, et al.. (2024). Comparison of strategies for automatic video-based detection of piling behaviour in laying hens. SHILAP Revista de lepidopterología. 10. 100745–100745. 2 indexed citations
2.
Jensen, Dan Børge, et al.. (2023). Automatic monitoring and detection of tail-biting behavior in groups of pigs using video-based deep learning methods. Frontiers in Veterinary Science. 9. 1099347–1099347. 15 indexed citations
3.
Jensen, Dan Børge, et al.. (2023). Equine dental sinusitis—A statistical analysis of the effect of antibiotics on dental sinusitis following dental extraction. Equine Veterinary Education. 36(7). 357–365. 3 indexed citations
4.
Jensen, Dan Børge, et al.. (2022). Different reticuloruminal pH metrics of high-yielding dairy cattle during the transition period in relation to metabolic health, activity, and feed intake. Journal of Dairy Science. 105(8). 6880–6894. 10 indexed citations
5.
Voort, Mariska van der, Dan Børge Jensen, C. Kamphuis, et al.. (2021). Invited review: Toward a common language in data-driven mastitis detection research. Journal of Dairy Science. 104(10). 10449–10461. 10 indexed citations
6.
Jensen, Dan Børge, Mona Lilian Vestbjerg Larsen, & Lene Juul Pedersen. (2019). Comparison of architectures and training strategies for convolutional neural networks intended for location-specific counting of slaughter pigs. Research at the University of Copenhagen (University of Copenhagen). 1 indexed citations
7.
8.
Jensen, Dan Børge, et al.. (2019). Estimating time evolving cross-dependence of porcine reproduction and respiratory syndrome sero-prevalence in Danish swine herds. Preventive Veterinary Medicine. 167. 85–89. 1 indexed citations
9.
Jensen, Dan Børge, Mona Lilian Vestbjerg Larsen, & Lene Juul Pedersen. (2019). Predicting pen fouling in fattening pigs from pig position. Livestock Science. 231. 103852–103852. 9 indexed citations
10.
Larsen, Mona Lilian Vestbjerg, Lene Juul Pedersen, & Dan Børge Jensen. (2019). Prediction of Tail Biting Events in Finisher Pigs from Automatically Recorded Sensor Data. Animals. 9(7). 458–458. 21 indexed citations
11.
Jensen, Dan Børge, Mariska van der Voort, & H. Hogeveen. (2018). Dynamic forecasting of individual cow milk yield in automatic milking systems. Journal of Dairy Science. 101(11). 10428–10439. 24 indexed citations
12.
Jonsson, N.N., J. L. Kleen, R. J. Wallace, et al.. (2018). Evaluation of reticuloruminal pH measurements from individual cattle: Sampling strategies for the assessment of herd status. The Veterinary Journal. 243. 26–32. 16 indexed citations
13.
14.
Denwood, Matthew, J. L. Kleen, Dan Børge Jensen, & N.N. Jonsson. (2017). Describing temporal variation in reticuloruminal pH using continuous monitoring data. Journal of Dairy Science. 101(1). 233–245. 22 indexed citations
15.
Jensen, Dan Børge, H. Hogeveen, & Albert De Vries. (2016). Bayesian integration of sensor information and a multivariate dynamic linear model for prediction of dairy cow mastitis. Journal of Dairy Science. 99(9). 7344–7361. 54 indexed citations
16.
Jensen, Dan Børge, Cécile Cornou, Nils Toft, & Anders Ringgaard Kristensen. (2015). A multi-dimensional dynamic linear model for monitoring slaughter pig production. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 2 indexed citations
17.
Jensen, Dan Børge & Anders Ringgaard Kristensen. (2015). Temperature as a predictor of fouling and diarrhea in slaughter pigs. Livestock Science. 183. 1–3. 14 indexed citations
18.
Jensen, Dan Børge, Nils Toft, & Cécile Cornou. (2014). The effect of wind shielding and pen position on the average daily weight gain and feed conversion rate of grower/finisher pigs. Livestock Science. 167. 353–361. 4 indexed citations
19.
Jensen, Dan Børge, Tammi Vesth, Peter F. Hallin, Anders Gorm Pedersen, & David W. Ussery. (2012). Bayesian prediction of bacterial growth temperature range based on genome sequences. BMC Genomics. 13(Suppl 7). S3–S3. 24 indexed citations
20.
Andersen, Stig Uggerhøj, et al.. (2005). Vectors for reverse genetics and expression analysis, 289-292. 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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