Florian Schneider
- Health top 5%
- Modeling and Simulation top 2%
- Economics and Econometrics top 10%
- Sociology and Political Science
- Cognitive Neuroscience
- Co-authors
- Pol Campos‐MercadeArmando N. MeierErik WengströmDevin G. PopeStephan MeierNuh N. RahbariRené WarschkowSascha Müller
- Topics
- COVID-19 epidemiological studies (5 papers)Experimental Behavioral Economics Studies (4 papers)Vaccine Coverage and Hesitancy (4 papers)
- Journals
- NatureScienceManagement Science
- Partner nations
- SwitzerlandDenmarkGermany
In The Last Decade
Florian Schneider
20 papers receiving 551 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Health 202
- Modeling and Simulation 143
- Economics and Econometrics 127
- Sociology and Political Science 104
- Cognitive Neuroscience 76
Countries citing papers authored by Florian Schneider
This map shows the geographic impact of Florian Schneider'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 Florian Schneider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Schneider more than expected).
Fields of papers citing papers by Florian Schneider
This network shows the impact of papers produced by Florian Schneider. 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 Florian Schneider. The network helps show where Florian Schneider may publish in the future.
Co-authorship network of co-authors of Florian Schneider
This figure shows the co-authorship network connecting the top 25 collaborators of Florian Schneider. A scholar is included among the top collaborators of Florian Schneider 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 Florian Schneider. Florian Schneider is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 32 | |
| 7 | Prosociality predicts health behaviors during the COVID-19 pandemicbreakdown → | 153 |
| 8 | 2 | |
| 9 | Monetary incentives increase COVID-19 vaccinationsbreakdown → | 192 |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 3 | |
| 15 | 10 | |
| 16 | How far do people walk and cycle for different activities? Evidence from the Netherlands | 1 |
| 17 | 0 | |
| 18 | 38 | |
| 19 | 3 | |
| 20 | 81 |
About Florian Schneider
Florian Schneider is a scholar working on General Decision Sciences, Modeling and Simulation and Business and International Management, having authored 24 papers that have together received 561 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), Experimental Behavioral Economics Studies (4 papers) and Vaccine Coverage and Hesitancy (4 papers). The work is most often cited by research in Modeling and Simulation (143 citations), Health (202 citations) and General Decision Sciences (25 citations). Florian Schneider has collaborated with scholars based in Switzerland, Denmark and Germany. Frequent co-authors include Pol Campos‐Mercade, Armando N. Meier, Erik Wengström, Devin G. Pope, Stephan Meier, Nuh N. Rahbari, René Warschkow, Sascha Müller, Ulrich Bork and Markus W. Büchler. Their work appears in journals such as Nature, Science and Management Science.
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.