Saverio Salerno

141 total papers · 1.0k total citations
79 papers, 706 citations indexed

About

Saverio Salerno is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Networks and Communications. According to data from OpenAlex, Saverio Salerno has authored 79 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 16 papers in Computer Science Applications and 13 papers in Computer Networks and Communications. Recurrent topics in Saverio Salerno's work include Semantic Web and Ontologies (11 papers), Open Education and E-Learning (10 papers) and Innovative Teaching and Learning Methods (10 papers). Saverio Salerno is often cited by papers focused on Semantic Web and Ontologies (11 papers), Open Education and E-Learning (10 papers) and Innovative Teaching and Learning Methods (10 papers). Saverio Salerno collaborates with scholars based in Italy, Hungary and Russia. Saverio Salerno's co-authors include Matteo Gaeta, Nicola Capuano, Vincenzo Loia, Giuseppina Rita Mangione, Pasquale Avella, Francesco Orciuoli, Giovanni Acampora, Pierluigi Ritrovato, Autilia Vitiello and Pierluigi Ritrovato and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Computers in Human Behavior.

In The Last Decade

Saverio Salerno

73 papers receiving 644 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Saverio Salerno 275 175 125 96 89 79 706
Pierluigi Ritrovato 270 1.0× 207 1.2× 129 1.0× 176 1.8× 63 0.7× 51 767
Carla Simone 194 0.7× 125 0.7× 60 0.5× 62 0.6× 19 0.2× 79 831
Anjo Anjewierden 288 1.0× 194 1.1× 70 0.6× 63 0.7× 167 1.9× 42 717
Alexander Mikroyannidis 218 0.8× 266 1.5× 178 1.4× 101 1.1× 82 0.9× 82 752
Alain Mille 330 1.2× 205 1.2× 60 0.5× 92 1.0× 20 0.2× 44 709
Han Reichgelt 245 0.9× 348 2.0× 182 1.5× 52 0.5× 36 0.4× 96 826
Harold Boley 474 1.7× 351 2.0× 81 0.6× 195 2.0× 26 0.3× 94 812
El Habib Benlahmar 394 1.4× 172 1.0× 59 0.5× 110 1.1× 10 0.1× 98 779
Anna Goy 227 0.8× 405 2.3× 34 0.3× 104 1.1× 18 0.2× 36 702
Rommel N. Carvalho 345 1.3× 140 0.8× 183 1.5× 74 0.8× 19 0.2× 49 650

Countries citing papers authored by Saverio Salerno

Since Specialization
Citations

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

Fields of papers citing papers by Saverio Salerno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saverio Salerno

This figure shows the co-authorship network connecting the top 25 collaborators of Saverio Salerno. A scholar is included among the top collaborators of Saverio Salerno based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Saverio Salerno. Saverio Salerno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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