Oscar Patterson‐Lomba
- Co-authors
- Sherry TowersCarlos Castillo‐ChávezEdward GoldsteinAndrés Gómez-LiévanoRajeev AyyagariJames SignorovitchPatrick LefèbvreYao Wang
- Topics
- COVID-19 epidemiological studies (7 papers)Vaccine Coverage and Hesitancy (5 papers)Influenza Virus Research Studies (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Oscar Patterson‐Lomba
36 papers receiving 676 citations
Peers
Comparison fields: 5 of 105
- Epidemiology 171
- Modeling and Simulation 147
- Infectious Diseases 123
- Clinical Psychology 100
- Oncology 87
Countries citing papers authored by Oscar Patterson‐Lomba
This map shows the geographic impact of Oscar Patterson‐Lomba'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 Oscar Patterson‐Lomba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oscar Patterson‐Lomba more than expected).
Fields of papers citing papers by Oscar Patterson‐Lomba
This network shows the impact of papers produced by Oscar Patterson‐Lomba. 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 Oscar Patterson‐Lomba. The network helps show where Oscar Patterson‐Lomba may publish in the future.
Co-authorship network of co-authors of Oscar Patterson‐Lomba
This figure shows the co-authorship network connecting the top 25 collaborators of Oscar Patterson‐Lomba. A scholar is included among the top collaborators of Oscar Patterson‐Lomba 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 Oscar Patterson‐Lomba. Oscar Patterson‐Lomba 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 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 13 | |
| 7 | 0 | |
| 8 | 132 | |
| 9 | 4 | |
| 10 | 17 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 7 | |
| 15 | 8 | |
| 16 | 34 | |
| 17 | 1 | |
| 18 | 12 | |
| 19 | 20 | |
| 20 | 7 |
About Oscar Patterson‐Lomba
Oscar Patterson‐Lomba is a scholar working on Modeling and Simulation, Health and Health Informatics, having authored 40 papers that have together received 691 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), Vaccine Coverage and Hesitancy (5 papers) and Influenza Virus Research Studies (4 papers). The work is most often cited by research in Modeling and Simulation (147 citations), Health (66 citations) and Infectious Diseases (123 citations). Oscar Patterson‐Lomba has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Sherry Towers, Carlos Castillo‐Chávez, Edward Goldstein, Andrés Gómez-Liévano, Rajeev Ayyagari, James Signorovitch, Patrick Lefèbvre, Yao Wang, Martin Cloutier and Sarah King. Their work appears in journals such as Physical Review Letters, PLoS ONE and Neurology.
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.