Marco Fisichella

32 papers and 159 indexed citations i.

About

Marco Fisichella is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Marco Fisichella has authored 32 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Marco Fisichella’s work include Privacy-Preserving Technologies in Data (6 papers), Topic Modeling (5 papers) and Advanced Neural Network Applications (4 papers). Marco Fisichella is often cited by papers focused on Privacy-Preserving Technologies in Data (6 papers), Topic Modeling (5 papers) and Advanced Neural Network Applications (4 papers). Marco Fisichella collaborates with scholars based in Germany, Italy and United States. Marco Fisichella's co-authors include Wolfgang Nejdl, Adam Funk, Diana Maynard, Gianluca Lax, Mina Sartipi, Paola Castrogiovanni, Ujwal Gadiraju, Rosa Imbesi, George Papadakis and Davide Taibi and has published in prestigious journals such as IEEE Access, Information Sciences and Machine Learning.

In The Last Decade

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

Fields of papers citing papers by Marco Fisichella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marco Fisichella

Since Specialization
Citations

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