Nikos I Bosse
- Modeling and Simulation top 5%
- Public Health, Environmental and Occupational Health
- Infectious Diseases
- Epidemiology
- Economics and Econometrics
- Co-authors
- Sam AbbottMark JitSebastian FunkHuaiyu TianLin WangBingying LiLü DongAnnelies Wilder‐Smith
- Topics
- COVID-19 epidemiological studies (7 papers)Data-Driven Disease Surveillance (3 papers)Influenza Virus Research Studies (2 papers)
- Cited by
- Modeling and SimulationInfectious DiseasesPublic Health, Environmental and Occupational Health
- Journals
- Philosophical Transactions of the Royal Society B Biological SciencesPLoS Computational BiologyInternational Journal of Forecasting
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Nikos I Bosse
9 papers receiving 178 citations
Peers
Comparison fields: 5 of 50
- Modeling and Simulation 102
- Public Health, Environmental and Occupational Health 91
- Infectious Diseases 74
- Epidemiology 51
- Economics and Econometrics 12
Countries citing papers authored by Nikos I Bosse
This map shows the geographic impact of Nikos I Bosse'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 Nikos I Bosse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikos I Bosse more than expected).
Fields of papers citing papers by Nikos I Bosse
This network shows the impact of papers produced by Nikos I Bosse. 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 Nikos I Bosse. The network helps show where Nikos I Bosse may publish in the future.
Co-authorship network of co-authors of Nikos I Bosse
This figure shows the co-authorship network connecting the top 25 collaborators of Nikos I Bosse. A scholar is included among the top collaborators of Nikos I Bosse 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 Nikos I Bosse. Nikos I Bosse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 11 | |
| 3 | 21 | |
| 4 | 14 | |
| 5 | 92 | |
| 6 | 27 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | Estimating the time-varying reproduction number of SARS-CoV-2 using national and subnational case counts [version 1;peer review: awaiting peer review] | 5 |
| 11 | Utilities for Scoring and Assessing Predictions [R package scoringutils version 0.1.4] | 1 |
About Nikos I Bosse
Nikos I Bosse is a scholar working on Modeling and Simulation, Virology and Health, having authored 11 papers that have together received 184 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), Data-Driven Disease Surveillance (3 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Modeling and Simulation (102 citations), Infectious Diseases (74 citations) and Public Health, Environmental and Occupational Health (91 citations). Nikos I Bosse has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Sam Abbott, Mark Jit, Sebastian Funk, Huaiyu Tian, Lin Wang, Bingying Li, Lü Dong, Annelies Wilder‐Smith, Yang Liu and Yuyang Chen. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, PLoS Computational Biology and International Journal of Forecasting.
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.