Helen Susannah Moat

38 papers and 2.3k indexed citations i.

About

Helen Susannah Moat is a scholar working on Epidemiology, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, Helen Susannah Moat has authored 38 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 12 papers in Sociology and Political Science and 10 papers in Economics and Econometrics. Recurrent topics in Helen Susannah Moat’s work include Data-Driven Disease Surveillance (17 papers), Complex Systems and Time Series Analysis (9 papers) and Human Mobility and Location-Based Analysis (8 papers). Helen Susannah Moat is often cited by papers focused on Data-Driven Disease Surveillance (17 papers), Complex Systems and Time Series Analysis (9 papers) and Human Mobility and Location-Based Analysis (8 papers). Helen Susannah Moat collaborates with scholars based in United Kingdom, United States and The Netherlands. Helen Susannah Moat's co-authors include Tobias Preis, H. Eugene Stanley, Chanuki Illushka Seresinhe, Chester Curme, Steven R. Bishop, Adam Avakian, Dror Y. Kenett, George MacKerron, Guillaume Deffuant and Jean‐Pierre Nadal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Helen Susannah Moat i

Fields of papers citing papers by Helen Susannah Moat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helen Susannah Moat. 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 Helen Susannah Moat. The network helps show where Helen Susannah Moat may publish in the future.

Countries citing papers authored by Helen Susannah Moat

Since Specialization
Citations

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