Ben Aernouts

2.5k total citations
96 papers, 1.8k citations indexed

About

Ben Aernouts is a scholar working on Analytical Chemistry, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, Ben Aernouts has authored 96 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Analytical Chemistry, 27 papers in Agronomy and Crop Science and 24 papers in Animal Science and Zoology. Recurrent topics in Ben Aernouts's work include Spectroscopy and Chemometric Analyses (38 papers), Spectroscopy Techniques in Biomedical and Chemical Research (19 papers) and Optical Imaging and Spectroscopy Techniques (19 papers). Ben Aernouts is often cited by papers focused on Spectroscopy and Chemometric Analyses (38 papers), Spectroscopy Techniques in Biomedical and Chemical Research (19 papers) and Optical Imaging and Spectroscopy Techniques (19 papers). Ben Aernouts collaborates with scholars based in Belgium, United States and China. Ben Aernouts's co-authors include Wouter Saeys, Robbe Van Beers, Jeroen Lammertyn, Rodrigo Watté, Ivo F.J. Vankelecom, Agnieszka K. Hołda, Ines Adriaens, Bart Nicolaı̈, E.V. Pol'shin and Chanjun Sun and has published in prestigious journals such as Analytical Chemistry, Journal of Agricultural and Food Chemistry and Journal of Membrane Science.

In The Last Decade

Ben Aernouts

89 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben Aernouts Belgium 25 809 612 324 321 303 96 1.8k
Yud-Ren Chen United States 26 1.7k 2.1× 760 1.2× 447 1.4× 49 0.2× 586 1.9× 83 2.4k
Bosoon Park United States 31 1.3k 1.6× 1.0k 1.7× 299 0.9× 45 0.1× 266 0.9× 141 2.5k
Liyun Zheng China 19 443 0.5× 299 0.5× 421 1.3× 25 0.1× 261 0.9× 54 1.8k
R. L. Stroshine United States 23 210 0.3× 155 0.3× 317 1.0× 188 0.6× 670 2.2× 71 2.0k
C. Kirschner Germany 13 885 1.1× 388 0.6× 112 0.3× 36 0.1× 84 0.3× 14 2.1k
Gary R. Gamble United States 23 92 0.1× 284 0.5× 136 0.4× 95 0.3× 545 1.8× 88 1.5k
Han Zhang China 27 191 0.2× 751 1.2× 214 0.7× 23 0.1× 102 0.3× 105 2.0k
Sang‐Dae Lee South Korea 18 656 0.8× 459 0.8× 136 0.4× 10 0.0× 363 1.2× 89 1.5k
Lin‐P'ing Choo‐Smith Canada 25 1.2k 1.4× 725 1.2× 32 0.1× 240 0.7× 71 0.2× 40 3.4k
Sylvie Chevallier France 24 144 0.2× 116 0.2× 305 0.9× 28 0.1× 246 0.8× 57 2.0k

Countries citing papers authored by Ben Aernouts

Since Specialization
Citations

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

Fields of papers citing papers by Ben Aernouts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Aernouts

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Aernouts. A scholar is included among the top collaborators of Ben Aernouts 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 Ben Aernouts. Ben Aernouts 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.
Li, Moli, et al.. (2025). β-Hydroxybutyrate-induced mitochondrial DNA (mtDNA) release mediated innate inflammatory response in bovine mammary epithelial cells by inhibiting autophagy. Journal of Animal Science and Biotechnology. 16(1). 15–15. 1 indexed citations
2.
Aernouts, Ben, et al.. (2025). Periparturient oxidative and inflammatory status and their relation to energy metabolism and performance in transition dairy cows. Journal of Dairy Science. 108(12). 13872–13889. 1 indexed citations
3.
Aernouts, Ben, et al.. (2025). Association of artificial intelligence–predicted milk yield residuals to behavioral patterns and transition success in multiparous dairy cows. Journal of Dairy Science. 108(8). 8859–8876. 1 indexed citations
4.
Adriaens, Ines, et al.. (2025). Dynamic Multi-Behaviour, Orientation-Invariant Re-Identification of Holstein-Friesian Cattle. Sensors. 25(10). 2971–2971. 1 indexed citations
5.
Adriaens, Ines, et al.. (2025). Consistent multi-animal pose estimation in cattle using dynamic Kalman filter based tracking. Smart Agricultural Technology. 11. 101014–101014.
6.
Adriaens, Ines, et al.. (2024). Temperature correction of near-infrared spectra of raw milk. Chemometrics and Intelligent Laboratory Systems. 255. 105251–105251. 3 indexed citations
7.
Adriaens, Ines, et al.. (2024). Key udder health parameters on dairy farms with an automated milking system. Livestock Science. 287. 105522–105522. 1 indexed citations
8.
Bendoula, Ryad, Wouter Saeys, Maxime Ryckewaert, et al.. (2024). PROSAC as a selection tool for SO-PLS regression: A strategy for multi-block data fusion. Analytica Chimica Acta. 1319. 342965–342965. 1 indexed citations
9.
Saeys, Wouter, et al.. (2024). On-farm NIR sensor for milk analysis: Exploitation of bias monitoring and bias correction. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 320. 124544–124544. 1 indexed citations
10.
Aernouts, Ben, et al.. (2024). Comparison of 3 mathematical models to estimate lactation performance in dairy cows. Journal of Dairy Science. 107(9). 6888–6901. 4 indexed citations
11.
Adriaens, Ines, et al.. (2023). Association between management practices and estimated mastitis incidence and milk losses on robotic dairy farms. Preventive Veterinary Medicine. 220. 106033–106033. 1 indexed citations
12.
13.
Adriaens, Ines, Xiaoping Jing, Veerle Fievez, et al.. (2023). Milk yield residuals and their link with the metabolic status of dairy cows in the transition period. Journal of Dairy Science. 107(1). 317–330. 2 indexed citations
14.
15.
Aernouts, Ben, Ines Adriaens, Wouter Saeys, et al.. (2020). Mid-infrared spectroscopic analysis of raw milk to predict the blood nonesterified fatty acid concentrations in dairy cows. Journal of Dairy Science. 103(7). 6422–6438. 17 indexed citations
16.
17.
Adriaens, Ines, Olivier Martin, Wouter Saeys, et al.. (2019). Validation of a novel milk progesterone-based tool to monitor luteolysis in dairy cows: Timing of the alerts and robustness against missing values. Journal of Dairy Science. 102(12). 11491–11503. 4 indexed citations
18.
Adriaens, Ines, Wouter Saeys, Tjebbe Huybrechts, et al.. (2018). A novel system for on-farm fertility monitoring based on milk progesterone. Journal of Dairy Science. 101(9). 8369–8382. 17 indexed citations
19.
Aernouts, Ben, Robbe Van Beers, Rodrigo Watté, et al.. (2015). Visible and near-infrared bulk optical properties of raw milk. Journal of Dairy Science. 98(10). 6727–6738. 70 indexed citations
20.
Tol, P.P.J. van der, et al.. (2010). Pressure distribution at the teat–liner and teat–calf interfaces. Journal of Dairy Science. 93(1). 45–52. 12 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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