Oscar Patterson‐Lomba

41 papers and 691 indexed citations i.

About

Oscar Patterson‐Lomba is a scholar working on Epidemiology, Oncology and Modeling and Simulation. According to data from OpenAlex, Oscar Patterson‐Lomba has authored 41 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 8 papers in Oncology and 8 papers in Modeling and Simulation. Recurrent topics in Oscar Patterson‐Lomba’s work include COVID-19 epidemiological studies (8 papers), Vaccine Coverage and Hesitancy (5 papers) and Influenza Virus Research Studies (4 papers). Oscar Patterson‐Lomba is often cited by papers focused on COVID-19 epidemiological studies (8 papers), Vaccine Coverage and Hesitancy (5 papers) and Influenza Virus Research Studies (4 papers). Oscar Patterson‐Lomba collaborates with scholars based in United States, Canada and United Kingdom. Oscar Patterson‐Lomba's co-authors include Andrés Gómez-Liévano, Sherry Towers, Carlos Castillo‐Chávez, Ricardo Hausmann, Edward Goldstein, Rajeev Ayyagari, James Signorovitch, Laurent Hébert‐Dufresne, Benjamin M. Althouse and John S. Brownstein and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Neurology.

In The Last Decade

Co-authorship network of co-authors of Oscar Patterson‐Lomba i

Fields of papers citing papers by Oscar Patterson‐Lomba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Oscar Patterson‐Lomba

Since Specialization
Citations

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).

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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2025