Miriam Teschl

17 papers and 346 indexed citations i.

About

Miriam Teschl is a scholar working on Modeling and Simulation, Economics and Econometrics and Infectious Diseases. According to data from OpenAlex, Miriam Teschl has authored 17 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Modeling and Simulation, 5 papers in Economics and Econometrics and 5 papers in Infectious Diseases. Recurrent topics in Miriam Teschl’s work include COVID-19 epidemiological studies (5 papers), Income, Poverty, and Inequality (3 papers) and Experimental Behavioral Economics Studies (3 papers). Miriam Teschl is often cited by papers focused on COVID-19 epidemiological studies (5 papers), Income, Poverty, and Inequality (3 papers) and Experimental Behavioral Economics Studies (3 papers). Miriam Teschl collaborates with scholars based in France, United Kingdom and Austria. Miriam Teschl's co-authors include Flávio Comim, Alan Kirman, Pierre Livet, Sabina Alkire, Stéphane Luchini, Kanchan Chopra, Jean‐Luc Dubois, Shahin Yaqub, Caterina Ruggeri Laderchi and Ingrid Robeyns and has published in prestigious journals such as PLoS ONE, Philosophical Transactions of the Royal Society B Biological Sciences and PLoS Medicine.

In The Last Decade

Co-authorship network of co-authors of Miriam Teschl i

Fields of papers citing papers by Miriam Teschl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Miriam Teschl

Since Specialization
Citations

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