Carmen De Maio

37 papers and 489 indexed citations i.

About

Carmen De Maio is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Carmen De Maio has authored 37 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 12 papers in Information Systems and 11 papers in Computational Theory and Mathematics. Recurrent topics in Carmen De Maio’s work include Semantic Web and Ontologies (14 papers), Advanced Text Analysis Techniques (12 papers) and Rough Sets and Fuzzy Logic (11 papers). Carmen De Maio is often cited by papers focused on Semantic Web and Ontologies (14 papers), Advanced Text Analysis Techniques (12 papers) and Rough Sets and Fuzzy Logic (11 papers). Carmen De Maio collaborates with scholars based in Italy, China and United Kingdom. Carmen De Maio's co-authors include Vincenzo Loia, Giuseppe Fenza, Sabrina Senatore, Francesco Orciuoli, Mimmo Parente, Mariacristina Gallo, Matteo Gaeta, Enrique Herrera–Viedma, Fei Hao and Geyong Min and has published in prestigious journals such as Sustainability, Neurocomputing and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Carmen De Maio i

Fields of papers citing papers by Carmen De Maio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Carmen De Maio

Since Specialization
Citations

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