Joost de Folter

411 total citations
13 papers, 258 citations indexed

About

Joost de Folter is a scholar working on Analytical Chemistry, Spectroscopy and Food Science. According to data from OpenAlex, Joost de Folter has authored 13 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Analytical Chemistry, 3 papers in Spectroscopy and 3 papers in Food Science. Recurrent topics in Joost de Folter's work include Chromatography in Natural Products (5 papers), Food Quality and Safety Studies (3 papers) and Analytical Chemistry and Chromatography (2 papers). Joost de Folter is often cited by papers focused on Chromatography in Natural Products (5 papers), Food Quality and Safety Studies (3 papers) and Analytical Chemistry and Chromatography (2 papers). Joost de Folter collaborates with scholars based in United Kingdom, Switzerland and Germany. Joost de Folter's co-authors include I. Sutherland, Malcolm Clarke, Hülya Gökalp, Philip Wood, Vivek Verma, Russell Jones, Vivek Verma, Luke Nightingale, Amy Strange and Urvashi Sharma and has published in prestigious journals such as Journal of Chromatography A, IEEE Transactions on Biomedical Engineering and Traffic.

In The Last Decade

Joost de Folter

13 papers receiving 252 citations

Peers

Joost de Folter
J. Su China
Eleanor D. Campbell United States
S. Lociciro Switzerland
Patricia A. Weideman United States
Joost de Folter
Citations per year, relative to Joost de Folter Joost de Folter (= 1×) peers Kavita Yadav

Countries citing papers authored by Joost de Folter

Since Specialization
Citations

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

Fields of papers citing papers by Joost de Folter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joost de Folter. 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 Joost de Folter. The network helps show where Joost de Folter may publish in the future.

Co-authorship network of co-authors of Joost de Folter

This figure shows the co-authorship network connecting the top 25 collaborators of Joost de Folter. A scholar is included among the top collaborators of Joost de Folter 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 Joost de Folter. Joost de Folter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Roberts, Ruairí J.V., Alice S. French, Joost de Folter, et al.. (2023). OptoPi: An open source flexible platform for the analysis of small animal behaviour. HardwareX. 15. e00443–e00443. 3 indexed citations
2.
White, Matthew, Ludwig Sinn, D. Marc Jones, et al.. (2023). Oxonium ion scanning mass spectrometry for large-scale plasma glycoproteomics. Nature Biomedical Engineering. 8(3). 233–247. 16 indexed citations
3.
Spiers, Helen, Luke Nightingale, Joost de Folter, et al.. (2021). Deep learning for automatic segmentation of the nuclear envelope in electron microscopy data, trained with volunteer segmentations. Traffic. 22(7). 240–253. 29 indexed citations
4.
Gökalp, Hülya, et al.. (2018). Integrated Telehealth and Telecare for Monitoring Frail Elderly with Chronic Disease. Telemedicine Journal and e-Health. 24(12). 940–957. 60 indexed citations
5.
Folter, Joost de, Mark Trusheim, Páll Jónsson, & Sarah Garner. (2018). DECISION-COMPONENTS OF NICE'S TECHNOLOGY APPRAISALS ASSESSMENT FRAMEWORK. International Journal of Technology Assessment in Health Care. 34(2). 163–171. 8 indexed citations
6.
Clarke, Malcolm, Joost de Folter, Vivek Verma, & Hülya Gökalp. (2017). Interoperable End-to-End Remote Patient Monitoring Platform based on IEEE 11073 PHD and ZigBee Health Care Profile. IEEE Transactions on Biomedical Engineering. 65(5). 1–1. 34 indexed citations
7.
Folter, Joost de, et al.. (2014). Designing effective visualizations of habits data to aid clinical decision making. BMC Medical Informatics and Decision Making. 14(1). 102–102. 14 indexed citations
8.
Clarke, Malcolm, et al.. (2013). Building point of care health technologies on the IEEE 11073 health device standards. 117–119. 11 indexed citations
9.
Folter, Joost de & Timothy Cribbin. (2012). Facilitating insight into a simulation model using visualization and dynamic model previews. Journal of Visual Languages & Computing. 23(6). 344–353. 2 indexed citations
10.
Sutherland, I., Peter Hewitson, & Joost de Folter. (2010). Toroidal coil chromatography: The effect of scale-up and “g” field on stage efficiency. Journal of Chromatography A. 1218(36). 6144–6147. 2 indexed citations
11.
Folter, Joost de & I. Sutherland. (2010). Probabilistic model for immiscible separations and extractions (ProMISE). Journal of Chromatography A. 1218(36). 6009–6014. 13 indexed citations
12.
Folter, Joost de & I. Sutherland. (2008). Universal counter-current chromatography modelling based on counter-current distribution. Journal of Chromatography A. 1216(19). 4218–4224. 27 indexed citations
13.
Sutherland, I., Joost de Folter, & Philip Wood. (2003). Modelling CCC Using an Eluting Countercurrent Distribution Model. Journal of Liquid Chromatography & Related Technologies. 26(9-10). 1449–1474. 39 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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