Barbara Russo
Impact in
- Software top 1%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
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- Open Source Software Innovations
Papers in
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- Software Engineering Research 33
- Software Engineering Techniques and Practices 9
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- Software System Performance and Reliability 24
- Co-authors
- Gabriele Bavota (10 shared papers)Giancarlo Succi (25 shared papers)Rocco Oliveto (7 shared papers)Massimiliano Di Penta (7 shared papers)Witold Pedrycz (6 shared papers)Andrea Janes (14 shared papers)Bruno Rossi (5 shared papers)Matteo Camilli (10 shared papers)
In The Last Decade
Barbara Russo
73 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 92
- Software 379
- Computer Science Applications 282
- Information Systems 1.0k
- Computer Networks and Communications 367
- Artificial Intelligence 338
Countries citing papers authored by Barbara Russo
This map shows the geographic impact of Barbara Russo'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 Barbara Russo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Russo more than expected).
Fields of papers citing papers by Barbara Russo
This network shows the impact of papers produced by Barbara Russo. 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 Barbara Russo. The network helps show where Barbara Russo may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Russo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 188 | |
| 2 | 2016 | 101 | |
| 3 | 2015 | 71 | |
| 4 | 2010 | 68 | |
| 5 | 2017 | 64 | |
| 6 | 2016 | 62 | |
| 7 | 2005 | 58 | |
| 8 | 2004 | 56 | |
| 9 | 2016 | 55 | |
| 10 | 2005 | 53 | |
| 11 | 2012 | 51 | |
| 12 | 2008 | 50 | |
| 13 | 2012 | 41 | |
| 14 | 2017 | 41 | |
| 15 | 2015 | 32 | |
| 16 | 2020 | 31 | |
| 17 | 2010 | 27 | |
| 18 | 2016 | 27 | |
| 19 | 2005 | 24 | |
| 20 | 2018 | 23 |
About Barbara Russo
Barbara Russo is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Software and Computer Science Applications, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include Software Engineering Research (33 papers), Software System Performance and Reliability (24 papers), Software Reliability and Analysis Research (20 papers), Advanced Software Engineering Methodologies (18 papers), Open Source Software Innovations (11 papers), Software Engineering Techniques and Practices (9 papers), Software Testing and Debugging Techniques (8 papers) and E-Government and Public Services (5 papers). The work is most often cited by research in Software (379 citations), Computer Science Applications (282 citations), Information Systems (1.0k citations), Computer Networks and Communications (367 citations) and Artificial Intelligence (338 citations). Barbara Russo has collaborated with scholars based in Italy, Germany and Canada. Frequent co-authors include Gabriele Bavota, Giancarlo Succi, Rocco Oliveto, Massimiliano Di Penta, Witold Pedrycz, Andrea Janes, Bruno Rossi, Matteo Camilli, Michele Lanza and Alberto Sillitti. Their work appears in journals such as Journal of Systems and Software, Empirical Software Engineering, Information Sciences, ACM Transactions on Software Engineering and Methodology and IEEE Transactions on Software Engineering.
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.