Enzo Mumolo

39 papers and 130 indexed citations i.

About

Enzo Mumolo is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Enzo Mumolo has authored 39 papers receiving a total of 130 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 15 papers in Signal Processing and 14 papers in Artificial Intelligence. Recurrent topics in Enzo Mumolo’s work include Speech and Audio Processing (9 papers), Advanced Adaptive Filtering Techniques (7 papers) and Parallel Computing and Optimization Techniques (6 papers). Enzo Mumolo is often cited by papers focused on Speech and Audio Processing (9 papers), Advanced Adaptive Filtering Techniques (7 papers) and Parallel Computing and Optimization Techniques (6 papers). Enzo Mumolo collaborates with scholars based in Italy, France and Japan. Enzo Mumolo's co-authors include Alberto Carini, Massimiliano Nolich, Gianni Vercelli, Alfredo Cuzzocrea, Giovanni L. Sicuranza, Agostino Accardo, G. Grasso, Edoardo Fadda, Kazunori Umeda and Emanuele Menegatti and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Enzo Mumolo i

Fields of papers citing papers by Enzo Mumolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Enzo Mumolo

Since Specialization
Citations

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