Lander Willem

3.4k citations
77 papers · 1.9k · 1 hit paper · h-index 25

Impact in

Papers in

Lander Willem

72 papers receiving 1.9k citations

Lander Willem's Hit Papers

Behavioural change models for infectious disease transmission: a systematic review (2010–2015) 2016 · 277 citations
2770+3+6Years since publication50100150200250

Peers

Lander Willem
Comparison fields: 5 of 137
  • Modeling and Simulation 716
  • Health 216
  • Epidemiology 674
  • Infectious Diseases 283
  • Applied Microbiology and Biotechnology 28
Replace Eunha Shim with:
Eunha Shim United States
Aronrag Cooper Meeyai Thailand
Clément Turbelin France
Phạm Quang Thái Vietnam
Gianpaolo Scalia Tomba Italy
Shaun Truelove United States
Christine Tedijanto United States
Giorgio Guzzetta Italy
Lilith K. Whittles United Kingdom
Samit K. Bhattacharyya India
Lander Willem relative to Eunha Shim United States Eunha Shim's profile →
Citations per field
00.5×1.5×2×2.5×
Eunha Shim · 1×
Citations per year

Countries citing papers authored by Lander Willem

Since Specialization
Citations

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

Fields of papers citing papers by Lander Willem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lander Willem, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lander Willem Line = papers co-authored together Lander Willem links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Behavioural change models for infectious disease transmission: a systematic review (2010–2015)
Hit paper breakdown →
2016277
2 2017119
3 202084
4 202079
5 201271
6 201968
7 202154
8 201354
9 202151
10 202050
11 202150
12 201847
13 201545
14 202339
15 202238
16 201836
17 202235
18 202135
19 202033
20 201931

About Lander Willem

Lander Willem is a scholar working on Modeling and Simulation, Health, Epidemiology, Infectious Diseases and Economics and Econometrics, having authored 77 papers that have together received 1.9k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (28 papers), Influenza Virus Research Studies (17 papers), Vaccine Coverage and Hesitancy (14 papers), Respiratory viral infections research (9 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Viral Infections and Outbreaks Research (5 papers), Animal Disease Management and Epidemiology (4 papers) and COVID-19 Pandemic Impacts (4 papers). The work is most often cited by research in Modeling and Simulation (716 citations), Health (216 citations), Epidemiology (674 citations), Infectious Diseases (283 citations) and Applied Microbiology and Biotechnology (28 citations). Lander Willem has collaborated with scholars based in Belgium, Australia and Uganda. Frequent co-authors include Philippe Beutels, Frederik Verelst, Niel Hens, Joke Bilcke, Pietro Coletti, Kim Van Kerckhove, Mark Jit, James Wambua, Roselinde Kessels and Xiao Li. Their work appears in journals such as Vaccine, Scientific Reports, PLoS ONE, BMC Medicine and BMC Infectious Diseases.

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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