Angelo Marcelli

56 papers and 460 indexed citations i.

About

Angelo Marcelli is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Angelo Marcelli has authored 56 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 10 papers in Cognitive Neuroscience. Recurrent topics in Angelo Marcelli’s work include Handwritten Text Recognition Techniques (18 papers), Image Processing and 3D Reconstruction (9 papers) and Evolutionary Algorithms and Applications (9 papers). Angelo Marcelli is often cited by papers focused on Handwritten Text Recognition Techniques (18 papers), Image Processing and 3D Reconstruction (9 papers) and Evolutionary Algorithms and Applications (9 papers). Angelo Marcelli collaborates with scholars based in Italy, Spain and Canada. Angelo Marcelli's co-authors include Antonio Della Cioppa, Claudio De Stefano, Antonio Parziale, Giuseppe Boccignone, Miguel A. Ferrer, L.P. Cordella, A. Chianese, Moises Díaz, Paolo Napoletano and G. Spagnuolo and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Evolutionary Computation and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Angelo Marcelli i

Fields of papers citing papers by Angelo Marcelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Angelo Marcelli

Since Specialization
Citations

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