Roberto Pirrone

1.3k citations
98 papers · 708 · h-index 15

Impact in

Papers in

    • Semantic Web and Ontologies 14
    • Intelligent Tutoring Systems and Adaptive Learning 8
    • Natural Language Processing Techniques 8
    • Topic Modeling 7
    • Speech and dialogue systems 7
    • Medical Image Segmentation Techniques 18
    • Advanced Image and Video Retrieval Techniques 8
    • Image and Signal Denoising Methods 6

Roberto Pirrone

86 papers receiving 665 citations

Peers

Roberto Pirrone
Comparison fields: 5 of 128
  • Health Informatics 22
  • Computer Vision and Pattern Recognition 230
  • Human Factors and Ergonomics 26
  • Artificial Intelligence 222
  • General Dentistry 8
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Citations per field
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Citations per year

Countries citing papers authored by Roberto Pirrone

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Pirrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roberto Pirrone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roberto Pirrone Line = papers co-authored together Roberto Pirrone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202076
2 201243
3 201434
4 201029
5 201627
6 200126
7 202222
8 200222
9 201620
10 200820
11 201817
12 200217
13 201017
14 202015
15 202014
16 201314
17 200813
18 201112
19 202211
20 200511

About Roberto Pirrone

Roberto Pirrone is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Control and Systems Engineering and Information Systems, having authored 98 papers that have together received 708 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (18 papers), Semantic Web and Ontologies (14 papers), Advanced Image and Video Retrieval Techniques (8 papers), Intelligent Tutoring Systems and Adaptive Learning (8 papers), Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers), Speech and dialogue systems (7 papers) and Image and Signal Denoising Methods (6 papers). The work is most often cited by research in Health Informatics (22 citations), Computer Vision and Pattern Recognition (230 citations), Human Factors and Ergonomics (26 citations), Artificial Intelligence (222 citations) and General Dentistry (8 citations). Roberto Pirrone has collaborated with scholars based in Italy, United Kingdom and Argentina. Frequent co-authors include Orazio Gambino, Edoardo Ardizzone, Antonio Chella, Salvatore Vitabile, Leonardo Rundo, Evis Sala, Roberto Gallea, Giuseppe Russo, Rosario Sorbello and Kamilla Rún Jóhannsdóttir. Their work appears in journals such as Journal of Biomedical Informatics, BMC Bioinformatics, Computer Methods and Programs in Biomedicine, Applied Artificial Intelligence and Applied Sciences.

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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