Marco Lombardi

24 papers and 353 indexed citations i.

About

Marco Lombardi is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marco Lombardi has authored 24 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marco Lombardi’s work include Recommender Systems and Techniques (10 papers), Context-Aware Activity Recognition Systems (5 papers) and Sentiment Analysis and Opinion Mining (4 papers). Marco Lombardi is often cited by papers focused on Recommender Systems and Techniques (10 papers), Context-Aware Activity Recognition Systems (5 papers) and Sentiment Analysis and Opinion Mining (4 papers). Marco Lombardi collaborates with scholars based in Italy, United Kingdom and Saudi Arabia. Marco Lombardi's co-authors include Domenico Santaniello, Francesco Pascale, Francesco Colace, Massimo De Santo, Mario Casillo, Antonio Pietrosanto, Fabio Clarizia, Giuseppe D’Aniello, Dajana Conte and Fabio Mercorio and has published in prestigious journals such as Pattern Recognition Letters, Electronics and Journal of Ambient Intelligence and Humanized Computing.

In The Last Decade

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

Fields of papers citing papers by Marco Lombardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marco Lombardi

Since Specialization
Citations

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