Maria Gini

127 papers and 1.9k indexed citations i.

About

Maria Gini is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Maria Gini has authored 127 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 43 papers in Computer Vision and Pattern Recognition and 28 papers in Management Science and Operations Research. Recurrent topics in Maria Gini’s work include Robotic Path Planning Algorithms (33 papers), Auction Theory and Applications (21 papers) and Optimization and Search Problems (16 papers). Maria Gini is often cited by papers focused on Robotic Path Planning Algorithms (33 papers), Auction Theory and Applications (21 papers) and Optimization and Search Problems (16 papers). Maria Gini collaborates with scholars based in United States, Italy and The Netherlands. Maria Gini's co-authors include Ernesto Nunes, Daniel Boley, Paul Schrater, John Collins, Steven Jensen, Bamshad Mobasher, Wolfgang Ketter, Richard M. Voyles, Paul E. Rybski and William Groves and has published in prestigious journals such as Proceedings of the IEEE, Pattern Recognition and International Journal of Production Research.

In The Last Decade

Co-authorship network of co-authors of Maria Gini i

Fields of papers citing papers by Maria Gini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maria Gini

Since Specialization
Citations

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