Matthew Smith

8 papers and 110 indexed citations i.

About

Matthew Smith is a scholar working on Artificial Intelligence, Modeling and Simulation and Economics and Econometrics. According to data from OpenAlex, Matthew Smith has authored 8 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Modeling and Simulation and 2 papers in Economics and Econometrics. Recurrent topics in Matthew Smith’s work include COVID-19 epidemiological studies (2 papers), COVID-19 diagnosis using AI (1 paper) and Neural Networks and Applications (1 paper). Matthew Smith is often cited by papers focused on COVID-19 epidemiological studies (2 papers), COVID-19 diagnosis using AI (1 paper) and Neural Networks and Applications (1 paper). Matthew Smith collaborates with scholars based in Spain, Hungary and United States. Matthew Smith's co-authors include Francisco Álvarez, Alfonso Valencia, Miguel Ponce‐de‐Leon, Salvador Capella-Gutiérrez, Yu Han, Péter Horváth, Juan Carlos Caicedo, Shantanu Singh, José M. Fernández and Rebecca A. Senft and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Matthew Smith i

Fields of papers citing papers by Matthew Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Smith. 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 Matthew Smith. The network helps show where Matthew Smith may publish in the future.

Countries citing papers authored by Matthew Smith

Since Specialization
Citations

This map shows the geographic impact of Matthew Smith'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 Matthew Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Smith 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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