Kees Lokhorst

769 citations
18 papers · 484 · h-index 9

Impact in

Papers in

Kees Lokhorst

18 papers receiving 469 citations

Peers

Kees Lokhorst
Comparison fields: 5 of 71
  • Small Animals 355
  • Animal Science and Zoology 267
  • Agronomy and Crop Science 123
  • Genetics 147
  • Equine 8
Replace Maciej Oczak with:
Maciej Oczak Austria
Liesbet Pluym Belgium
Wolfgang Auer Austria
Anders Herlin Sweden
M.R. Borchers United States
Arno Pluk Belgium
Kristina Maschat Austria
Giuliana G. Miguel-Pacheco United Kingdom
Holly R. Hodges United Kingdom
A. Schlageter-Tello Netherlands
Kees Lokhorst relative to Maciej Oczak Austria Maciej Oczak's profile →
Citations per field
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Maciej Oczak · 1×
Citations per year

Countries citing papers authored by Kees Lokhorst

Since Specialization
Citations

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

Fields of papers citing papers by Kees Lokhorst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kees Lokhorst, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kees Lokhorst Line = papers co-authored together Kees Lokhorst links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2014100
2 202097
3 201474
4 201448
5 201739
6 201533
7 201527
8 201823
9 202215
10 20088
11 20186
12
Improving a computer vision lameness detection system by adding behaviour and performance measures
20143
13 20143
14 20133
15 20212
16
Does lameness detection improve with a multi-sensor system?
20151
17
Werken aan meerwaarde van regionale landbouw en biodiversiteit : de oogst van vier jaar Echt Overijssel!
20131
18
BioBusiness research project: Training and development of innovative solutions for animal health and welfare problems by means of precision livestock farming (PLF)
20111

About Kees Lokhorst

Kees Lokhorst is a scholar working on Small Animals, Animal Science and Zoology, Genetics, Agronomy and Crop Science and Plant Science, having authored 18 papers that have together received 484 indexed citations. Recurring topics across this work include Animal Behavior and Welfare Studies (12 papers), Effects of Environmental Stressors on Livestock (7 papers), Animal Disease Management and Epidemiology (4 papers), Human-Animal Interaction Studies (3 papers), Animal Nutrition and Physiology (2 papers), Genetic and phenotypic traits in livestock (2 papers), Smart Agriculture and AI (2 papers) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Small Animals (355 citations), Animal Science and Zoology (267 citations), Agronomy and Crop Science (123 citations), Genetics (147 citations) and Equine (8 citations). Kees Lokhorst has collaborated with scholars based in Netherlands, Belgium and Israel. Frequent co-authors include Claudia Bahr, S. Viazzi, T. van Hertem, Daniël Berckmans, I. Halachmi, A. Schlageter-Tello, C.E.B. Romanini, Henry Buller, E.A.M. Bokkers and H.J. Blokhuis. Their work appears in journals such as Journal of Dairy Science, Biosystems Engineering, Animals, Animal Welfare and AI & Society.

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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