L. Clissa

5 papers and 27 indexed citations i.

About

L. Clissa is a scholar working on Artificial Intelligence, Information Systems and Biophysics. According to data from OpenAlex, L. Clissa has authored 5 papers receiving a total of 27 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Biophysics. Recurrent topics in L. Clissa’s work include Cell Image Analysis Techniques (2 papers), Software System Performance and Reliability (1 paper) and Big Data and Digital Economy (1 paper). L. Clissa is often cited by papers focused on Cell Image Analysis Techniques (2 papers), Software System Performance and Reliability (1 paper) and Big Data and Digital Economy (1 paper). L. Clissa collaborates with scholars based in Italy, Germany and Switzerland. L. Clissa's co-authors include L. Rinaldi, Roberto Amici, Matteo Cerri, A. Zoccoli, R. Morelli, Marco Luppi, J. Schovancova, T. Dias Do Vale, S. Padolski and M. Zvada and has published in prestigious journals such as Scientific Reports, Scientific Data and Frontiers in Big Data.

In The Last Decade

Co-authorship network of co-authors of L. Clissa i

Fields of papers citing papers by L. Clissa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by L. Clissa

Since Specialization
Citations

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