A. N. Swart

456 total citations
12 papers, 361 citations indexed

About

A. N. Swart is a scholar working on Food Science, Infectious Diseases and Biotechnology. According to data from OpenAlex, A. N. Swart has authored 12 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Food Science, 3 papers in Infectious Diseases and 3 papers in Biotechnology. Recurrent topics in A. N. Swart's work include Salmonella and Campylobacter epidemiology (7 papers), Food Safety and Hygiene (3 papers) and Listeria monocytogenes in Food Safety (3 papers). A. N. Swart is often cited by papers focused on Salmonella and Campylobacter epidemiology (7 papers), Food Safety and Hygiene (3 papers) and Listeria monocytogenes in Food Safety (3 papers). A. N. Swart collaborates with scholars based in Netherlands, Denmark and United States. A. N. Swart's co-authors include Arie H. Havelaar, Jeroen P. G. van Leuken, Wim van der Hoek, Dick Heederik, Addo van Pul, Robin Simons, Eric G. Evers, F. van Leusden, M. Swanenburg and Maarten Nauta and has published in prestigious journals such as Risk Analysis, Preventive Veterinary Medicine and Frontiers in Public Health.

In The Last Decade

A. N. Swart

12 papers receiving 351 citations

Peers

A. N. Swart
A. N. Swart
Citations per year, relative to A. N. Swart A. N. Swart (= 1×) peers Danielle Ramsay

Countries citing papers authored by A. N. Swart

Since Specialization
Citations

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

Fields of papers citing papers by A. N. Swart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. N. Swart. 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 A. N. Swart. The network helps show where A. N. Swart may publish in the future.

Co-authorship network of co-authors of A. N. Swart

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

All Works

12 of 12 papers shown
1.
Leuken, Jeroen P. G. van, A. N. Swart, P. Droogers, et al.. (2016). Climate change effects on airborne pathogenic bioaerosol concentrations: a scenario analysis. Aerobiologia. 32(4). 607–617. 24 indexed citations
2.
Leuken, Jeroen P. G. van, A. N. Swart, Joost Brandsma, et al.. (2016). Human Q fever incidence is associated to spatiotemporal environmental conditions. One Health. 2. 77–87. 36 indexed citations
3.
Swart, A. N., F. van Leusden, & Maarten Nauta. (2016). A QMRA Model for Salmonella in Pork Products During Preparation and Consumption. Risk Analysis. 36(3). 516–530. 28 indexed citations
4.
Swart, A. N., Eric G. Evers, Robin Simons, & M. Swanenburg. (2016). Modeling of Salmonella Contamination in the Pig Slaughterhouse. Risk Analysis. 36(3). 498–515. 36 indexed citations
5.
Quoilin, Sophie, Heikki Henttonen, Outi Lyytikäinen, et al.. (2015). Landscape and Regional Environmental Analysis of the Spatial Distribution of Hantavirus Human Cases in Europe. Frontiers in Public Health. 3. 54–54. 21 indexed citations
6.
Leuken, Jeroen P. G. van, A. N. Swart, Arie H. Havelaar, et al.. (2015). Atmospheric dispersion modelling of bioaerosols that are pathogenic to humans and livestock – A review to inform risk assessment studies. Microbial Risk Analysis. 1. 19–39. 102 indexed citations
7.
Havelaar, Arie H. & A. N. Swart. (2014). Impact of Acquired Immunity and Dose‐Dependent Probability of Illness on Quantitative Microbial Risk Assessment. Risk Analysis. 34(10). 1807–1819. 31 indexed citations
8.
Swart, A. N., Michele Tomasi, Mirjam Kretzschmar, Arie H. Havelaar, & Odo Diekmann. (2012). The protective effects of temporary immunity under imposed infection pressure. Epidemics. 4(1). 43–47. 19 indexed citations
9.
Swart, A. N. & Annemarie Pielaat. (2012). Development of a user‐friendly interface version of the QMRA model for Salmonella in pigs developed under grant agreement CFP/EFSA/BIOHAZ/2007/01. EFSA Supporting Publications. 9(12). 1 indexed citations
10.
Opsteegh, Marieke, R. Haveman, A. N. Swart, et al.. (2012). Seroprevalence and risk factors for Toxoplasma gondii infection in domestic cats in The Netherlands. Preventive Veterinary Medicine. 104(3-4). 317–326. 51 indexed citations
11.
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
12.
Hill, Andrew, Emma Snary, Robin Simons, et al.. (2011). A Quantitative Microbiological Risk Assessment for Salmonella transmission in pigs in individual EU Member States. International Conference on the Epidemiology and Control of Biological, Chemical and Physical Hazards in Pigs and Pork. 161–164. 2 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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