Maurizio Ferrari Dacrema

24 papers and 217 indexed citations i.

About

Maurizio Ferrari Dacrema is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Maurizio Ferrari Dacrema has authored 24 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 15 papers in Information Systems and 8 papers in Management Science and Operations Research. Recurrent topics in Maurizio Ferrari Dacrema’s work include Recommender Systems and Techniques (14 papers), Advanced Bandit Algorithms Research (8 papers) and Quantum Computing Algorithms and Architecture (7 papers). Maurizio Ferrari Dacrema is often cited by papers focused on Recommender Systems and Techniques (14 papers), Advanced Bandit Algorithms Research (8 papers) and Quantum Computing Algorithms and Architecture (7 papers). Maurizio Ferrari Dacrema collaborates with scholars based in Italy, Austria and Finland. Maurizio Ferrari Dacrema's co-authors include Paolo Cremonesi, Dietmar Jannach, Bogdan Ionescu, Yashar Deldjoo, Markus Schedl, Hamid Eghbal-zadeh, Nicola Ferro, Fabio Moroni, Guglielmo Faggioli and Massimo Quadrana and has published in prestigious journals such as Scientific Reports, IEEE Access and Entropy.

In The Last Decade

Co-authorship network of co-authors of Maurizio Ferrari Dacrema i

Fields of papers citing papers by Maurizio Ferrari Dacrema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maurizio Ferrari Dacrema. 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 Maurizio Ferrari Dacrema. The network helps show where Maurizio Ferrari Dacrema may publish in the future.

Countries citing papers authored by Maurizio Ferrari Dacrema

Since Specialization
Citations

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