Marco Pota

27 papers and 410 indexed citations i.

About

Marco Pota is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marco Pota has authored 27 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marco Pota’s work include Topic Modeling (8 papers), Fuzzy Logic and Control Systems (7 papers) and Rough Sets and Fuzzy Logic (4 papers). Marco Pota is often cited by papers focused on Topic Modeling (8 papers), Fuzzy Logic and Control Systems (7 papers) and Rough Sets and Fuzzy Logic (4 papers). Marco Pota collaborates with scholars based in Italy, India and Japan. Marco Pota's co-authors include Massimo Esposito, Giuseppe De Pietro, Hamido Fujita, Rosario Catelli, Giovanna Rizzo, Giuseppe Sanguineti, Elisa Scalco, Giovanni Mauro Cattaneo, Fiammetta Marulli and Alessia Farneti and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Marco Pota i

Fields of papers citing papers by Marco Pota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marco Pota

Since Specialization
Citations

This map shows the geographic impact of Marco Pota'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 Marco Pota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Pota 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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2025