Alberto Marchesi

30 papers and 121 indexed citations i.

About

Alberto Marchesi is a scholar working on Management Science and Operations Research, Economics and Econometrics and Marketing. According to data from OpenAlex, Alberto Marchesi has authored 30 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Management Science and Operations Research, 16 papers in Economics and Econometrics and 6 papers in Marketing. Recurrent topics in Alberto Marchesi’s work include Game Theory and Applications (18 papers), Auction Theory and Applications (14 papers) and Economic theories and models (10 papers). Alberto Marchesi is often cited by papers focused on Game Theory and Applications (18 papers), Auction Theory and Applications (14 papers) and Economic theories and models (10 papers). Alberto Marchesi collaborates with scholars based in Italy, United Kingdom and United States. Alberto Marchesi's co-authors include Nicola Gatti, Stefano Coniglio, Nicola Basilico, Gabriele Farina, Giuseppe De Nittis, Christian Kroer, Tüomas Sandholm, Diodato Ferraioli, Giulia Romano and Marco Masseroli and has published in prestigious journals such as BMC Bioinformatics, Artificial Intelligence and Journal of the ACM.

In The Last Decade

Co-authorship network of co-authors of Alberto Marchesi i

Fields of papers citing papers by Alberto Marchesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alberto Marchesi

Since Specialization
Citations

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