M. Riva

4 papers and 336 indexed citations i.

About

M. Riva is a scholar working on Health, Transportation and Sociology and Political Science. According to data from OpenAlex, M. Riva has authored 4 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Health, 2 papers in Transportation and 1 paper in Sociology and Political Science. Recurrent topics in M. Riva’s work include Urban Transport and Accessibility (2 papers), Health disparities and outcomes (2 papers) and Land Use and Ecosystem Services (1 paper). M. Riva is often cited by papers focused on Urban Transport and Accessibility (2 papers), Health disparities and outcomes (2 papers) and Land Use and Ecosystem Services (1 paper). M. Riva collaborates with scholars based in Canada and Switzerland. M. Riva's co-authors include Lise Gauvin, Tracie A. Barnett, Lucie Richard, Suzanne Laberge, Hélène Gagnon, Sophie Laforest, Adrienne Grêt‐Regamey and Felix Kienast and has published in prestigious journals such as American Journal of Epidemiology, Journal of Epidemiology & Community Health and Applied Geography.

In The Last Decade

Co-authorship network of co-authors of M. Riva i

Fields of papers citing papers by M. Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by M. Riva

Since Specialization
Citations

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