Mónica De Martino

22 papers and 101 indexed citations i.

About

Mónica De Martino is a scholar working on Artificial Intelligence, Geography, Planning and Development and Management Science and Operations Research. According to data from OpenAlex, Mónica De Martino has authored 22 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Geography, Planning and Development and 5 papers in Management Science and Operations Research. Recurrent topics in Mónica De Martino’s work include Semantic Web and Ontologies (9 papers), Geographic Information Systems Studies (6 papers) and Data Quality and Management (5 papers). Mónica De Martino is often cited by papers focused on Semantic Web and Ontologies (9 papers), Geographic Information Systems Studies (6 papers) and Data Quality and Management (5 papers). Mónica De Martino collaborates with scholars based in Italy, Uruguay and Brazil. Mónica De Martino's co-authors include Alfonso Quarati, Bianca Federici, Alberto Vecchiato, E. Pigozzi, R. Messineo, R. Morbidelli, Andreas Abecker, Franca Giannini, Laércio Massaru Namikawa and Marina Monti and has published in prestigious journals such as Remote Sensing, Lecture notes in computer science and ISPRS International Journal of Geo-Information.

In The Last Decade

Co-authorship network of co-authors of Mónica De Martino i

Fields of papers citing papers by Mónica De Martino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mónica De Martino. 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 Mónica De Martino. The network helps show where Mónica De Martino may publish in the future.

Countries citing papers authored by Mónica De Martino

Since Specialization
Citations

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