John Favaro

1.4k total citations
35 papers, 774 citations indexed

About

John Favaro is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, John Favaro has authored 35 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 10 papers in Artificial Intelligence and 8 papers in Software. Recurrent topics in John Favaro's work include Advanced Software Engineering Methodologies (8 papers), Service-Oriented Architecture and Web Services (6 papers) and Model-Driven Software Engineering Techniques (5 papers). John Favaro is often cited by papers focused on Advanced Software Engineering Methodologies (8 papers), Service-Oriented Architecture and Web Services (6 papers) and Model-Driven Software Engineering Techniques (5 papers). John Favaro collaborates with scholars based in Italy, United States and Spain. John Favaro's co-authors include Martin Griss, M. D'Alessandro, Christof Ebert, Hakan Erdogmus, Xabier Larrucea, Kunal Taneja, Maurizio Morisio, Rafael Capilla, Barbara Gallina and Carlos Cetina and has published in prestigious journals such as IEEE Software, Lecture notes in computer science and Journal of Software Evolution and Process.

In The Last Decade

John Favaro

33 papers receiving 647 citations

Peers

John Favaro
Comparison fields: 5 of 57
  • Information Systems 553
  • Artificial Intelligence 428
  • Software 221
  • Computer Networks and Communications 153
  • Computer Science Applications 76
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Citations per field, relative to John Favaro
John Favaro · 1×
Citations per year, relative to John Favaro
John Favaro · 1×

Countries citing papers authored by John Favaro

Since Specialization
Citations

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

Fields of papers citing papers by John Favaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Favaro

This figure shows the co-authorship network connecting the top 25 collaborators of John Favaro. A scholar is included among the top collaborators of John Favaro 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 John Favaro. John Favaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 22
2 43
3
CHESS: an Open Source Methodology and Toolset for the Development of Critical Systems.
8
4 3
5 5
6 2
7 1
8 10
9
Business Register Interoperability Throughout Europe: The BRITE Project
2
10 1
11 14
12 8
13 265
14 9
15
Strategic Analysis of Application Framework Investments
6
16 76
17 3
18 12
19 33
20 8

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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