Koen Pepermans

452 total citations
14 papers, 278 citations indexed

About

Koen Pepermans is a scholar working on Modeling and Simulation, Health and Epidemiology. According to data from OpenAlex, Koen Pepermans has authored 14 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Modeling and Simulation, 4 papers in Health and 4 papers in Epidemiology. Recurrent topics in Koen Pepermans's work include COVID-19 epidemiological studies (5 papers), Vaccine Coverage and Hesitancy (3 papers) and Data-Driven Disease Surveillance (3 papers). Koen Pepermans is often cited by papers focused on COVID-19 epidemiological studies (5 papers), Vaccine Coverage and Hesitancy (3 papers) and Data-Driven Disease Surveillance (3 papers). Koen Pepermans collaborates with scholars based in Belgium, Netherlands and Myanmar. Koen Pepermans's co-authors include Stefaan Walgrave, Michiel Nuytemans, Pierre Van Damme, Koen Verhoest, Frédérique Six, Philippe Beutels, Thomas Neyens, Niel Hens, Pieter Spooren and Raf Vanderstraeten and has published in prestigious journals such as Vaccine, Value in Health and Educational Research Review.

In The Last Decade

Koen Pepermans

13 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Koen Pepermans Belgium	8	68	56	56	53	45	14	278
Shiro Kuriwaki United States	8	65 1.0×	45 0.8×	102 1.8×	36 0.7×	11 0.2×	16	307
Kenya Amano United States	3	50 0.7×	56 1.0×	90 1.6×	129 2.4×	13 0.3×	4	318
Rita Gill Singh Hong Kong	10	11 0.2×	63 1.1×	143 2.6×	27 0.5×	103 2.3×	19	422
Bree Bang-Jensen United States	3	49 0.7×	56 1.0×	90 1.6×	129 2.4×	13 0.3×	4	317
Luca Messerschmidt Germany	7	44 0.6×	39 0.7×	92 1.6×	151 2.8×	6 0.1×	14	416
Jean-Christophe Boucher Canada	9	102 1.5×	128 2.3×	182 3.3×	44 0.8×	20 0.4×	19	342
Allison Spencer Hartnett United States	4	32 0.5×	33 0.6×	82 1.5×	136 2.6×	5 0.1×	10	335
Kathrin Thomas United Kingdom	10	73 1.1×	10 0.2×	72 1.3×	17 0.3×	28 0.6×	30	257
Lawrence Ka-Ki Ho Hong Kong	8	99 1.5×	17 0.3×	154 2.8×	30 0.6×	13 0.3×	30	260
Oleg Zhilin Canada	4	49 0.7×	93 1.7×	281 5.0×	48 0.9×	116 2.6×	6	403

Countries citing papers authored by Koen Pepermans

Since Specialization

Citations

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

Fields of papers citing papers by Koen Pepermans

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koen Pepermans

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

All Works

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14 of 14 papers shown

Faes, Christel, Philippe Beutels, Koen Pepermans, et al.. (2024). The effect of spatio-temporal sample imbalance in epidemiologic surveillance using opportunistic samples: An ecological study using real and simulated self-reported COVID-19 symptom data. Spatial and Spatio-temporal Epidemiology. 50. 100676–100676. 1 indexed citations

Mao, Zhuxin, Koen Pepermans, & Philippe Beutels. (2024). Relating mental health, health-related quality of life and well-being in the aftermath of the COVID-19 pandemic: A cross-sectional comparison in 14 European countries in early 2023. Public Health. 238. 16–22. 2 indexed citations

Mao, Zhuxin, et al.. (2024). A Comparison of Items and Constructs of Standardized Health-Related Quality of Life and Mental Well-Being Measures. Value in Health. 27(4). 478–489. 2 indexed citations

Wynen, Jan, Koen Verhoest, Frédérique Six, et al.. (2022). Taking a COVID-19 Vaccine or Not? Do Trust in Government and Trust in Experts Help Us to Understand Vaccination Intention?. Administration & Society. 54(10). 1875–1901. 30 indexed citations

Faes, Christel, Geert Molenberghs, Niel Hens, et al.. (2022). A spatial model to jointly analyze self‐reported survey data of COVID‐19 symptoms and official COVID‐19 incidence data. Biometrical Journal. 65(1). e2100186–e2100186. 5 indexed citations

Six, Frédérique, et al.. (2021). What drives compliance withCOVID‐19 measures over time? Explaining changing impacts with Goal Framing Theory. Regulation & Governance. 17(1). 3–21. 29 indexed citations

Valckx, Sara, Frederik Verelst, Greet Hendrickx, et al.. (2021). Individual factors influencing COVID-19 vaccine acceptance in between and during pandemic waves (July–December 2020). Vaccine. 40(1). 151–161. 30 indexed citations

Spacova, Irina, Ilke De Boeck, Wannes Van Beeck, et al.. (2021). Cotton and Surgical Face Masks in Community Settings: Bacterial Contamination and Face Mask Hygiene. Frontiers in Medicine. 8. 732047–732047. 38 indexed citations

Molenberghs, Geert, Marc Buyse, Steven Abrams, et al.. (2020). Infectious diseases epidemiology, quantitative methodology, and clinical research in the midst of the COVID-19 pandemic: Perspective from a European country. Contemporary Clinical Trials. 99. 106189–106189. 18 indexed citations

10.

Neyens, Thomas, Christel Faes, Koen Pepermans, et al.. (2020). Can COVID-19 symptoms as reported in a large-scale online survey be used to optimise spatial predictions of COVID-19 incidence risk in Belgium?. Spatial and Spatio-temporal Epidemiology. 35. 100379–100379. 18 indexed citations

11.

Wynen, Jan, et al.. (2020). Taking the Covid-19 vaccine or not? Understanding vaccination attitude using trust in experts and trust in government. Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam). 1 indexed citations

12.

Spooren, Pieter, Frédéric Vandermoere, Raf Vanderstraeten, & Koen Pepermans. (2017). Exploring high impact scholarship in research on student's evaluation of teaching (SET). Educational Research Review. 22. 129–141. 25 indexed citations

13.

Walgrave, Stefaan, Michiel Nuytemans, & Koen Pepermans. (2009). Voting Aid Applications and the Effect of Statement Selection. West European Politics. 32(6). 1161–1180. 78 indexed citations

14.

Hal, Guido Van, et al.. (2001). Pros and cons of an illicit drug users' registration system by means of judicial data in Flanders (Belgium). Public Health. 115(1). 70–77. 1 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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