I.A. van der Lans

3.6k total citations
84 papers, 2.6k citations indexed

About

I.A. van der Lans is a scholar working on Food Science, Plant Science and Public Health, Environmental and Occupational Health. According to data from OpenAlex, I.A. van der Lans has authored 84 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Food Science, 20 papers in Plant Science and 19 papers in Public Health, Environmental and Occupational Health. Recurrent topics in I.A. van der Lans's work include Consumer Attitudes and Food Labeling (14 papers), Organic Food and Agriculture (13 papers) and Sensory Analysis and Statistical Methods (12 papers). I.A. van der Lans is often cited by papers focused on Consumer Attitudes and Food Labeling (14 papers), Organic Food and Agriculture (13 papers) and Sensory Analysis and Statistical Methods (12 papers). I.A. van der Lans collaborates with scholars based in Netherlands, United Kingdom and Portugal. I.A. van der Lans's co-authors include J.C.M. van Trijp, Erica van Herpen, Lynn J. Frewer, A.R.H. Fischer, Xiaoyong Zhang, Tom Ligthart, Machiel J. Reinders, Karin L. Zimmermann, Nancy Holthuysen and M.P.M. Meuwissen and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

I.A. van der Lans

79 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I.A. van der Lans Netherlands 27 812 723 623 604 340 84 2.6k
W. Bruce Traill United Kingdom 28 749 0.9× 594 0.8× 972 1.6× 998 1.7× 376 1.1× 79 3.3k
Davide Menozzi Italy 29 952 1.2× 731 1.0× 355 0.6× 991 1.6× 196 0.6× 79 3.2k
Karen Brunsø Denmark 28 1.4k 1.7× 1.1k 1.5× 576 0.9× 731 1.2× 148 0.4× 64 3.3k
Hans De Steur Belgium 32 1.2k 1.5× 506 0.7× 368 0.6× 1.1k 1.9× 271 0.8× 158 3.6k
Machiel J. Reinders Netherlands 25 864 1.1× 1.1k 1.5× 393 0.6× 637 1.1× 355 1.0× 67 3.1k
Márcia Dutra de Barcellos Brazil 29 1.1k 1.3× 1.3k 1.9× 328 0.5× 679 1.1× 755 2.2× 111 3.2k
Zuzanna Pieniak Belgium 30 1.4k 1.7× 830 1.1× 674 1.1× 773 1.3× 121 0.4× 56 3.2k
Tino Bech‐Larsen Denmark 24 1.5k 1.8× 1.3k 1.9× 1.2k 1.8× 711 1.2× 176 0.5× 73 3.5k
A.R.H. Fischer Netherlands 36 1.3k 1.6× 660 0.9× 547 0.9× 752 1.2× 144 0.4× 115 4.5k
Maeve Henchion Ireland 28 1.1k 1.3× 239 0.3× 351 0.6× 567 0.9× 318 0.9× 89 3.6k

Countries citing papers authored by I.A. van der Lans

Since Specialization
Citations

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

Fields of papers citing papers by I.A. van der Lans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I.A. van der Lans. 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 I.A. van der Lans. The network helps show where I.A. van der Lans may publish in the future.

Co-authorship network of co-authors of I.A. van der Lans

This figure shows the co-authorship network connecting the top 25 collaborators of I.A. van der Lans. A scholar is included among the top collaborators of I.A. van der Lans 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 I.A. van der Lans. I.A. van der Lans 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.
Deng, Zhaoju, Gerrit Koop, T.J.G.M. Lam, et al.. (2019). Farm-level risk factors for bovine mastitis in Dutch automatic milking dairy herds. Journal of Dairy Science. 102(5). 4522–4535. 15 indexed citations
2.
Rankin, Audrey, Brendan Bunting, Rui Poínhos, et al.. (2018). Food choice motives, attitude towards and intention to adopt personalised nutrition. Public Health Nutrition. 21(14). 2606–2616. 50 indexed citations
3.
Meuwissen, M.P.M., et al.. (2017). Beyond upgrading typologies – In search of a better deal for honey value chains in Brazil. PLoS ONE. 12(7). e0181391–e0181391. 5 indexed citations
4.
Lans, I.A. van der, et al.. (2016). Consumption life cycle contributions : Assessment of practical methodologies for in home food waste measurement. Socio-Environmental Systems Modeling. 5 indexed citations
5.
6.
Schenk, Martijn, M.J.M. Smulders, L. J. W. Gilissen, et al.. (2010). Consumer attitudes towards hypoallergenic apples that alleviate mild apple allergy. Food Quality and Preference. 22(1). 83–91. 27 indexed citations
7.
Dagevos, Hans, Yuna He, Xiaoyong Zhang, I.A. van der Lans, & Fengying Zhai. (2010). Relationships among healthy lifestyle beliefs and body mass index in urban China. International Journal of Consumer Studies. 35(1). 10–16. 8 indexed citations
8.
Zając, J., et al.. (2009). Role of product characteristics for the adoption of fruit and fruit product innovations. The Journal of Horticultural Science and Biotechnology. 84(6). 28–33. 3 indexed citations
9.
Grappadelli, Luca Corelli, et al.. (2009). A search for a systematic method to bridge between pre-harvest, post-harvest, and consumer research aimed at increasing fruit consumption: The “Vasco da Gama” process. The Journal of Horticultural Science and Biotechnology. 84(6). 2–6. 5 indexed citations
10.
Jonge, J. de, J.C.M. van Trijp, I.A. van der Lans, Reint Jan Renes, & Lynn J. Frewer. (2008). A scale for consumer confidence in the safety of food. Socio-Environmental Systems Modeling. 3 indexed citations
11.
Jonge, J. de, J.C.M. van Trijp, I.A. van der Lans, Reint Jan Renes, & Lynn J. Frewer. (2008). How trust in institutions and organizations builds general consumer confidence in the safety of food: A decomposition of effects. Appetite. 51(2). 311–317. 127 indexed citations
12.
Dijk, Heleen van, Julie Houghton, Ellen van Kleef, et al.. (2007). Consumer responses to communication about food risk management. Appetite. 50(2-3). 340–352. 56 indexed citations
13.
Kleef, Ellen van, Julie Houghton, Athanasios Krystallis, et al.. (2007). Consumer Evaluations of Food Risk Management Quality in Europe. Risk Analysis. 27(6). 1565–1580. 68 indexed citations
14.
Trijp, J.C.M. van, et al.. (2007). Benefit‐feature segmentation: a tool for the design of supply‐chain strategy. Marketing Intelligence & Planning. 25(5). 511–533. 8 indexed citations
15.
Lans, I.A. van der & Patrick J. F. Groenen. (2006). Multidimensional Scaling with Regional Restrictions for Facet Theory: An Application to Levi's Political Protest Data. SSRN Electronic Journal. 2 indexed citations
16.
Groenen, Patrick J. F. & I.A. van der Lans. (2006). Multidimensional Scaling with Regional Restrictions for Facet Theory: An Application to Levi's Political Protest Data. ERIM report series research in management. 41–64. 1 indexed citations
17.
Trijp, J.C.M. van & I.A. van der Lans. (2006). Consumer perceptions of nutrition and health claims. Appetite. 48(3). 305–324. 218 indexed citations
18.
Groenen, Patrick J. F. & I.A. van der Lans. (2006). Multidimensional scaling with regional restrictions for facet theory: an application to Levy's political protest data. Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences). 10. 41–64. 1 indexed citations
19.
Meuwissen, M.P.M., et al.. (2003). CONSUMER CONCERNS ABOUT PORK PRODUCTION IN FRANCE AND THE NETHERLANDS. Socio-Environmental Systems Modeling. 397–404. 2 indexed citations
20.
Daamen, Dancker D.L., I.A. van der Lans, & C.J.H. Midden. (1990). Cognitive Structures in the Perception of Modern Technologies. Science Technology & Human Values. 15(2). 202–225. 19 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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