Giovanni Bernardi

29 total papers · 603 total citations
14 papers, 326 citations indexed

About

Giovanni Bernardi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Strategy and Management. According to data from OpenAlex, Giovanni Bernardi has authored 14 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Strategy and Management. Recurrent topics in Giovanni Bernardi's work include Logic, programming, and type systems (5 papers), Distributed systems and fault tolerance (4 papers) and Innovation and Knowledge Management (4 papers). Giovanni Bernardi is often cited by papers focused on Logic, programming, and type systems (5 papers), Distributed systems and fault tolerance (4 papers) and Innovation and Knowledge Management (4 papers). Giovanni Bernardi collaborates with scholars based in Ireland, Italy and Spain. Giovanni Bernardi's co-authors include Stefano Biazzo, Patrizia Garengo, Matthew Hennessy, Alexey Gotsman, Alessio Simonetti, Sabina Rossi, Michele Bugliesi and Adrian Francalanza and has published in prestigious journals such as International Journal of Quality & Reliability Management, Business Process Management Journal and International Journal of Productivity and Performance Management.

In The Last Decade

Giovanni Bernardi

14 papers receiving 287 citations

Author Peers

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

Author Last Decade Papers Cites
Giovanni Bernardi 128 122 74 74 32 14 326
Suk‐Gwon Chang 132 1.0× 53 0.4× 42 0.6× 38 0.5× 15 0.5× 28 335
Viara Popova 55 0.4× 159 1.3× 25 0.3× 84 1.1× 104 3.3× 17 316
Wil Janssen 83 0.6× 110 0.9× 19 0.3× 36 0.5× 69 2.2× 24 257
Jigish Zaveri 49 0.4× 83 0.7× 22 0.3× 61 0.8× 67 2.1× 19 330
David C. Chou 73 0.6× 108 0.9× 75 1.0× 31 0.4× 127 4.0× 29 366
Maija Ylinen 32 0.3× 80 0.7× 25 0.3× 40 0.5× 36 1.1× 16 311
Carlos Henrique C. Duarte 72 0.6× 63 0.5× 24 0.3× 29 0.4× 80 2.5× 21 335
Christine Tomlinson 37 0.3× 129 1.1× 55 0.7× 41 0.6× 98 3.1× 14 349
Samrat Gupta 130 1.0× 113 0.9× 13 0.2× 54 0.7× 49 1.5× 17 332
Mahima Gupta 37 0.3× 33 0.3× 38 0.5× 59 0.8× 72 2.3× 22 326

Countries citing papers authored by Giovanni Bernardi

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Bernardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Bernardi

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