Pieter Libin
Impact in
- Virology top 1%
- HIV Research and Treatment
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
-
- HIV/AIDS drug development and treatment 14
- HIV/AIDS Research and Interventions 8
- SARS-CoV-2 and COVID-19 Research 5
- Virology 16
- HIV Research and Treatment 16
- Co-authors
- Anne–Mieke Vandamme (23 shared papers)Koen Deforche (8 shared papers)Ana Abecasis (14 shared papers)Túlio de Oliveira (3 shared papers)Kristof Theys (22 shared papers)Andrea-Clemencia Pineda-Peña (7 shared papers)Ricardo Camacho (9 shared papers)Stijn Imbrechts (4 shared papers)
- Journals
- Viruses (5 papers)Infection Genetics and Evolution (5 papers)PLoS ONE (5 papers)Virus Evolution (3 papers)PLoS Computational Biology (3 papers)
- Partner nations
- BelgiumPortugalSouth Africa
In The Last Decade
Pieter Libin
50 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 109
- Virology 514
- Modeling and Simulation 203
- Infectious Diseases 675
- Hepatology 145
- Epidemiology 325
Countries citing papers authored by Pieter Libin
This map shows the geographic impact of Pieter Libin'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 Pieter Libin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pieter Libin more than expected).
Fields of papers citing papers by Pieter Libin
This network shows the impact of papers produced by Pieter Libin. 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 Pieter Libin. The network helps show where Pieter Libin may publish in the future.
Co-authors
The 25 scholars most cited alongside Pieter Libin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 285 | |
| 2 | 2009 | 127 | |
| 3 | 2010 | 75 | |
| 4 | 2015 | 56 | |
| 5 | 2021 | 52 | |
| 6 | 2021 | 50 | |
| 7 | 2018 | 40 | |
| 8 | 2017 | 36 | |
| 9 | 2020 | 32 | |
| 10 | 2021 | 32 | |
| 11 | 2021 | 23 | |
| 12 | 2019 | 18 | |
| 13 | 2022 | 18 | |
| 14 | 2017 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 2013 | 15 | |
| 17 | 2022 | 15 | |
| 18 | 2010 | 14 | |
| 19 | 2020 | 13 | |
| 20 | 2016 | 13 |
About Pieter Libin
Pieter Libin is a scholar working on Infectious Diseases, Virology, Modeling and Simulation, Epidemiology and Molecular Biology, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (16 papers), HIV/AIDS drug development and treatment (14 papers), COVID-19 epidemiological studies (11 papers), HIV/AIDS Research and Interventions (8 papers), Hepatitis C virus research (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Reinforcement Learning in Robotics (4 papers) and Advanced Bandit Algorithms Research (4 papers). The work is most often cited by research in Virology (514 citations), Modeling and Simulation (203 citations), Infectious Diseases (675 citations), Hepatology (145 citations) and Epidemiology (325 citations). Pieter Libin has collaborated with scholars based in Belgium, Portugal and South Africa. Frequent co-authors include Anne–Mieke Vandamme, Koen Deforche, Ana Abecasis, Túlio de Oliveira, Kristof Theys, Andrea-Clemencia Pineda-Peña, Ricardo Camacho, Stijn Imbrechts, Nuno R. Faria and Arley Gómez-López. Their work appears in journals such as Viruses, Infection Genetics and Evolution, PLoS ONE, Virus Evolution and PLoS Computational Biology.
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.