Joost Smid

1.1k total citations
23 papers, 690 citations indexed

About

Joost Smid is a scholar working on Food Science, Endocrinology and Infectious Diseases. According to data from OpenAlex, Joost Smid has authored 23 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Food Science, 7 papers in Endocrinology and 5 papers in Infectious Diseases. Recurrent topics in Joost Smid's work include Salmonella and Campylobacter epidemiology (13 papers), Food Safety and Hygiene (7 papers) and Vibrio bacteria research studies (6 papers). Joost Smid is often cited by papers focused on Salmonella and Campylobacter epidemiology (13 papers), Food Safety and Hygiene (7 papers) and Vibrio bacteria research studies (6 papers). Joost Smid collaborates with scholars based in Netherlands, Italy and United Kingdom. Joost Smid's co-authors include Arie H. Havelaar, Wilfrid van Pelt, Jaap A. Wagenaar, Nigel French, Luca Busani, Lapo Mughini Gras, Ingrid Friesema, Annemarie Pielaat, Albert G. de Boer and Gary C. Barker and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Joost Smid

23 papers receiving 681 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joost Smid Netherlands 13 506 232 149 107 62 23 690
Mohammad M. Obaidat Jordan 15 350 0.7× 156 0.7× 141 0.9× 88 0.8× 67 1.1× 49 712
Trisha J. Robinson United States 12 315 0.6× 273 1.2× 88 0.6× 103 1.0× 29 0.5× 17 561
Joy Gregory Australia 14 580 1.1× 406 1.8× 194 1.3× 183 1.7× 38 0.6× 42 949
Birgitte Borck Høg Denmark 14 603 1.2× 313 1.3× 191 1.3× 76 0.7× 168 2.7× 25 993
Danilo Lo Fo Wong Denmark 10 353 0.7× 153 0.7× 118 0.8× 102 1.0× 58 0.9× 22 585
Eric Bolton United Kingdom 7 543 1.1× 356 1.5× 85 0.6× 67 0.6× 40 0.6× 8 646
Getachew Gugsa Ethiopia 10 314 0.6× 142 0.6× 91 0.6× 74 0.7× 64 1.0× 24 662
Emma L. Sproston United Kingdom 10 397 0.8× 274 1.2× 81 0.5× 62 0.6× 30 0.5× 13 488
Bruce Ciebin Canada 11 520 1.0× 254 1.1× 256 1.7× 174 1.6× 56 0.9× 12 678
Dean Middleton Canada 15 596 1.2× 291 1.3× 272 1.8× 118 1.1× 55 0.9× 28 992

Countries citing papers authored by Joost Smid

Since Specialization
Citations

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

Fields of papers citing papers by Joost Smid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joost Smid

This figure shows the co-authorship network connecting the top 25 collaborators of Joost Smid. A scholar is included among the top collaborators of Joost Smid 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 Smid. Joost Smid 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.
Garre, Alberto, Annemarie Pielaat, M.H. Zwietering, Heidy M.W. den Besten, & Joost Smid. (2022). Critical comparison of statistical methods for quantifying variability and uncertainty of microbial responses from experimental data. International Journal of Food Microbiology. 383. 109935–109935. 7 indexed citations
2.
3.
Smid, Joost, Christian L. Althaus, & Nicola Low. (2019). Discrepancies between observed data and predictions from mathematical modelling of the impact of screening interventions on Chlamydia trachomatis prevalence. Scientific Reports. 9(1). 7547–7547. 6 indexed citations
4.
Smid, Joost, Christian L. Althaus, Nicola Low, Magnus Unemo, & Björn Herrmann. (2019). Rise and fall of the new variant of Chlamydia trachomatis in Sweden: mathematical modelling study. Sexually Transmitted Infections. 96(5). 375–379. 5 indexed citations
5.
Smid, Joost, et al.. (2019). Distribution, efficiency and choice: Social justice and small schools in rural areas in market oriented education systems.. PEARL (University of Plymouth). 1 indexed citations
6.
Smid, Joost, Víctor García, Nicola Low, Catherine H Mercer, & Christian L. Althaus. (2018). Age difference between heterosexual partners in Britain: Implications for the spread of Chlamydia trachomatis. Epidemics. 24. 60–66. 1 indexed citations
7.
Donà, Valentina, Joost Smid, Dianne Egli-Gany, et al.. (2018). Mismatch Amplification Mutation Assay-Based Real-Time PCR for Rapid Detection of Neisseria gonorrhoeae and Antimicrobial Resistance Determinants in Clinical Specimens. Journal of Clinical Microbiology. 56(9). 20 indexed citations
8.
Mughini‐Gras, Lapo, Joost Smid, Remko Enserink, et al.. (2014). Tracing the sources of human salmonellosis: A multi-model comparison of phenotyping and genotyping methods. Infection Genetics and Evolution. 28. 251–260. 30 indexed citations
9.
Mughini‐Gras, Lapo, Federica Barrucci, Joost Smid, et al.. (2013). Attribution of humanSalmonellainfections to animal and food sources in Italy (2002–2010): adaptations of the Dutch and modified Hald source attribution models. Epidemiology and Infection. 142(5). 1070–1082. 38 indexed citations
10.
Smid, Joost, Lapo Mughini Gras, Albert G. de Boer, et al.. (2013). Practicalities of Using Non-Local or Non-Recent Multilocus Sequence Typing Data for Source Attribution in Space and Time of Human Campylobacteriosis. PLoS ONE. 8(2). e55029–e55029. 34 indexed citations
11.
Greiner, Matthias, Joost Smid, Arie H. Havelaar, & Christine Müller‐Graf. (2013). Graphical models and Bayesian domains in risk modelling: Application in microbiological risk assessment. Preventive Veterinary Medicine. 110(1). 4–11. 18 indexed citations
12.
Smid, Joost, Angela H. A. M. van Hoek, H.J.M. Aarts, et al.. (2013). Quantifying the sources of Salmonella on dressed carcasses of pigs based on serovar distribution. Meat Science. 96(4). 1425–1431. 10 indexed citations
13.
Gras, Lapo Mughini, Joost Smid, Jaap A. Wagenaar, et al.. (2013). Increased risk forCampylobacter jejuniandC. coliinfection of pet origin in dog owners and evidence for genetic association between strains causing infection in humans and their pets. Epidemiology and Infection. 141(12). 2526–2535. 92 indexed citations
14.
Mughini‐Gras, Lapo, Joost Smid, Jaap A. Wagenaar, et al.. (2013). Campylobacteriosis in returning travellers and potential secondary transmission of exotic strains. Epidemiology and Infection. 142(6). 1277–1288. 26 indexed citations
15.
Smid, Joost, L. Heres, Arie H. Havelaar, & Annemarie Pielaat. (2012). A Biotracing Model of Salmonella in the Pork Production Chain. Journal of Food Protection. 75(2). 270–281. 18 indexed citations
16.
Gras, Lapo Mughini, Joost Smid, Jaap A. Wagenaar, et al.. (2012). Risk Factors for Campylobacteriosis of Chicken, Ruminant, and Environmental Origin: A Combined Case-Control and Source Attribution Analysis. PLoS ONE. 7(8). e42599–e42599. 160 indexed citations
17.
Smid, Joost, A. N. Swart, Arie H. Havelaar, & Annemarie Pielaat. (2011). A Practical Framework for the Construction of a Biotracing Model: Application to Salmonella in the Pork Slaughter Chain. Risk Analysis. 31(9). 1434–1450. 10 indexed citations
18.
Hoek, Angela H. A. M. van, R. de Jonge, El Bouw, et al.. (2011). A quantitative approach towards a better understanding of the dynamics of Salmonella spp. in a pork slaughter-line. International Journal of Food Microbiology. 153(1-2). 45–52. 60 indexed citations
19.
Smid, Joost, Didier Verloo, Gary C. Barker, & Arie H. Havelaar. (2009). Strengths and weaknesses of Monte Carlo simulation models and Bayesian belief networks in microbial risk assessment. International Journal of Food Microbiology. 139. S57–S63. 67 indexed citations
20.
Barker, Gary C., et al.. (2009). An introduction to biotracing in food chain systems. Trends in Food Science & Technology. 20(5). 220–226. 17 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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