R.M. de Mol

1.0k total citations
44 papers, 755 citations indexed

About

R.M. de Mol is a scholar working on Small Animals, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, R.M. de Mol has authored 44 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Small Animals, 13 papers in Animal Science and Zoology and 13 papers in Agronomy and Crop Science. Recurrent topics in R.M. de Mol's work include Animal Behavior and Welfare Studies (17 papers), Food Supply Chain Traceability (8 papers) and Effects of Environmental Stressors on Livestock (7 papers). R.M. de Mol is often cited by papers focused on Animal Behavior and Welfare Studies (17 papers), Food Supply Chain Traceability (8 papers) and Effects of Environmental Stressors on Livestock (7 papers). R.M. de Mol collaborates with scholars based in Netherlands, Hungary and United States. R.M. de Mol's co-authors include Wayne Woldt, W. Ouweltjes, Juul Achten, K. Maatje, W. Rossing, P. van Beek, C. Kamphuis, J.F.M. Huijsmans, C. Lokhorst and J.T.N. van der Werf and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Journal of Dairy Science.

In The Last Decade

R.M. de Mol

38 papers receiving 645 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
R.M. de Mol 318 314 262 200 145 44 755
John Shirley 77 0.2× 597 1.9× 123 0.5× 241 1.2× 109 0.8× 39 835
Giovanni Cascone 323 1.0× 104 0.3× 337 1.3× 66 0.3× 236 1.6× 62 947
John Upton 146 0.5× 179 0.6× 317 1.2× 97 0.5× 132 0.9× 67 1.1k
V. Poikalainen 225 0.7× 84 0.3× 247 0.9× 71 0.4× 97 0.7× 39 447
D. W. Kellogg 128 0.4× 607 1.9× 231 0.9× 230 1.1× 38 0.3× 74 938
Ludovica Maria Eugenia Mammi 174 0.5× 489 1.6× 380 1.5× 243 1.2× 177 1.2× 51 1.0k
Piotr Ślósarz 83 0.3× 119 0.4× 208 0.8× 128 0.6× 74 0.5× 43 490
Vívian Fischer 403 1.3× 879 2.8× 879 3.4× 440 2.2× 157 1.1× 124 1.7k
Sébastien Couvreur 229 0.7× 278 0.9× 465 1.8× 214 1.1× 260 1.8× 22 957
Dennis R. Buckmaster 107 0.3× 1.3k 4.1× 284 1.1× 535 2.7× 61 0.4× 95 1.9k

Countries citing papers authored by R.M. de Mol

Since Specialization
Citations

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

Fields of papers citing papers by R.M. de Mol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.M. de Mol. 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 R.M. de Mol. The network helps show where R.M. de Mol may publish in the future.

Co-authorship network of co-authors of R.M. de Mol

This figure shows the co-authorship network connecting the top 25 collaborators of R.M. de Mol. A scholar is included among the top collaborators of R.M. de Mol 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 R.M. de Mol. R.M. de Mol 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.
Drift, S.G.A. van der, R.M. de Mol, J.T.N. van der Werf, et al.. (2025). Prepartum metabolic profiles as predictors of postpartum health in dairy cows. Research in Veterinary Science. 193. 105801–105801.
2.
Mol, R.M. de, et al.. (2025). Co-occurrence of sudden feeding behaviour deviations and welfare issue onsets in growing-finishing pigs. Porcine Health Management. 11(1). 44–44.
3.
Dixhoorn, I.D.E. van, R.M. de Mol, Sabine Schnabel, et al.. (2023). Behavioral patterns as indicators of resilience after parturition in dairy cows. Journal of Dairy Science. 106(9). 6444–6463. 8 indexed citations
4.
Lokhorst, C., R.M. de Mol, & C. Kamphuis. (2019). Invited review: Big Data in precision dairy farming. animal. 13(7). 1519–1528. 56 indexed citations
5.
Kamphuis, C., et al.. (2019). Machine learning to further improve the decision which boar ejaculates to process into artificial insemination doses. Theriogenology. 144. 112–121. 12 indexed citations
6.
Dixhoorn, I.D.E. van, R.M. de Mol, J.T.N. van der Werf, S. van Mourik, & C.G. van Reenen. (2018). Indicators of resilience during the transition period in dairy cows: A case study. Journal of Dairy Science. 101(11). 10271–10282. 31 indexed citations
7.
Koene, P., et al.. (2016). Behavioral Ecology of Captive Species: Using Bibliographic Information to Assess Pet Suitability of Mammal Species. Frontiers in Veterinary Science. 3. 35–35. 7 indexed citations
8.
Mol, R.M. de, et al.. (2016). The relation between eating time and feed intake of dairy cows. Socio-Environmental Systems Modeling. 387–392. 11 indexed citations
9.
Mol, R.M. de, et al.. (2013). Applicability of day-to-day variation in behavior for the automated detection of lameness in dairy cows. Journal of Dairy Science. 96(6). 3703–3712. 67 indexed citations
10.
Mol, R.M. de, et al.. (2013). Application of trends in body weight measurements to predict changes in body condition score. Socio-Environmental Systems Modeling. 551–560. 2 indexed citations
11.
Shimmura, Tsuyoshi, M.B.M. Bracke, R.M. de Mol, et al.. (2011). Overall welfare assessment of laying hens: Comparing science‐based, environment‐based and animal‐based assessments. Animal Science Journal. 82(1). 150–160. 18 indexed citations
12.
Mol, R.M. de, et al.. (2011). Trustworthiness assessment of cow behaviour data collected in a wireless sensor network. Socio-Environmental Systems Modeling. 85–93. 2 indexed citations
13.
Ipema, A.H., C. Lokhorst, P.H. Hogewerf, & R.M. de Mol. (2010). A tool for automated animal welfare assessment.. Socio-Environmental Systems Modeling. 1 indexed citations
14.
Geijzendorffer, Ilse R., et al.. (2008). Application of a GIS-BIOLOCO tool for the design and assessment of biomass delivery chains. Socio-Environmental Systems Modeling. 640–643. 11 indexed citations
15.
Mol, R.M. de & M.A. Hilhorst. (2004). Emissiereductieopties voor methaan uit mestopslagen. Socio-Environmental Systems Modeling. 2 indexed citations
16.
Mol, R.M. de & M.A. Hilhorst. (2003). Methaan-, lachgas- en ammoniakemissies bij productie, opslag en transport van mest. Socio-Environmental Systems Modeling. 8 indexed citations
17.
Mol, R.M. de & W. Ouweltjes. (2001). Detection model for mastitis in cows milked in an automatic milking system. Preventive Veterinary Medicine. 49(1-2). 71–82. 57 indexed citations
18.
Mol, R.M. de & Wayne Woldt. (2001). Application of Fuzzy Logic in Automated Cow Status Monitoring. Journal of Dairy Science. 84(2). 400–410. 73 indexed citations
19.
Huijsmans, J.F.M. & R.M. de Mol. (1999). A Model for Ammonia Volatilization after Surface Application and Subsequent Incorporation of Manure on Arable Land. Journal of Agricultural Engineering Research. 74(1). 73–82. 41 indexed citations
20.
Mol, R.M. de, et al.. (1997). Results of a multivariate approach to automated oestrus and mastitis detection. Livestock Production Science. 48(3). 219–227. 61 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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