Genny Tortora

67 total papers · 1.4k total citations
32 papers, 815 citations indexed

About

Genny Tortora is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, Genny Tortora has authored 32 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Information Systems and 7 papers in Software. Recurrent topics in Genny Tortora's work include Model-Driven Software Engineering Techniques (6 papers), Semantic Web and Ontologies (6 papers) and Service-Oriented Architecture and Web Services (4 papers). Genny Tortora is often cited by papers focused on Model-Driven Software Engineering Techniques (6 papers), Semantic Web and Ontologies (6 papers) and Service-Oriented Architecture and Web Services (4 papers). Genny Tortora collaborates with scholars based in Italy, United States and Spain. Genny Tortora's co-authors include Alfredo De Santis, Christian Esposito, Henry Chang, Kim‐Kwang Raymond Choo, Maurizio Tucci, Andrea De Lucia, Gennaro Costagliola, Sergio Orefice, Giuliana Vitiello and Maria De Marsico and has published in prestigious journals such as IEEE Transactions on Software Engineering, Image and Vision Computing and British Journal of Educational Technology.

In The Last Decade

Genny Tortora

28 papers receiving 770 citations

Hit Papers

Blockchain: A Panacea for... 2018 2026 2020 2023 2018 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Genny Tortora 571 330 243 135 95 32 815
Antero Taivalsaari 505 0.9× 400 1.2× 297 1.2× 124 0.9× 121 1.3× 61 931
Andrea Mocci 769 1.3× 183 0.6× 287 1.2× 74 0.5× 240 2.5× 61 971
Vincenzo Deufemia 515 0.9× 193 0.6× 456 1.9× 173 1.3× 227 2.4× 92 967
Giuseppe Polese 369 0.6× 184 0.6× 502 2.1× 185 1.4× 129 1.4× 88 974
Mohammad Zarour 372 0.7× 166 0.5× 148 0.6× 41 0.3× 40 0.4× 40 787
Tor‐Morten Grønli 364 0.6× 284 0.9× 172 0.7× 92 0.7× 28 0.3× 82 856
Chetan Arora 571 1.0× 121 0.4× 416 1.7× 76 0.6× 175 1.8× 77 1.0k
Rajni Jindal 398 0.7× 205 0.6× 309 1.3× 58 0.4× 43 0.5× 92 828
Pierre Jouvelot 202 0.4× 319 1.0× 377 1.6× 85 0.6× 60 0.6× 37 916
Zhenpeng Chen 338 0.6× 235 0.7× 427 1.8× 39 0.3× 76 0.8× 49 883

Countries citing papers authored by Genny Tortora

Since Specialization
Citations

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

Fields of papers citing papers by Genny Tortora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Genny Tortora

This figure shows the co-authorship network connecting the top 25 collaborators of Genny Tortora. A scholar is included among the top collaborators of Genny Tortora 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 Genny Tortora. Genny Tortora 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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