Marco Maggis

18 papers and 252 indexed citations i.

About

Marco Maggis is a scholar working on Management Science and Operations Research, Economics and Econometrics and Finance. According to data from OpenAlex, Marco Maggis has authored 18 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Science and Operations Research, 11 papers in Economics and Econometrics and 9 papers in Finance. Recurrent topics in Marco Maggis’s work include Risk and Portfolio Optimization (11 papers), Economic theories and models (9 papers) and Stochastic processes and financial applications (9 papers). Marco Maggis is often cited by papers focused on Risk and Portfolio Optimization (11 papers), Economic theories and models (9 papers) and Stochastic processes and financial applications (9 papers). Marco Maggis collaborates with scholars based in Italy, Germany and Switzerland. Marco Maggis's co-authors include Marco Frittelli, Jan Obłój, Gregor Svindland, Davide La Torre and Thilo Meyer‐Brandis and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Mathematics of Operations Research and Mathematical Finance.

In The Last Decade

Co-authorship network of co-authors of Marco Maggis i

Fields of papers citing papers by Marco Maggis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marco Maggis

Since Specialization
Citations

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