Javier Ferrer
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Information Systems top 5%
- Software Engineering Research
Papers in
- Software 12
- Software Testing and Debugging Techniques 11
- Software Reliability and Analysis Research 9
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- Software Engineering Research 8
- Software Engineering Techniques and Practices 3
- Co-authors
- Enrique Alba (17 shared papers)Francisco Chicano (13 shared papers)Roberto E. Lopez-Herrejon (3 shared papers)Alexander Egyed (3 shared papers)Peter Kruse (2 shared papers)Jens Zander (2 shared papers)Lei Shi (2 shared papers)José García-Nieto (2 shared papers)
In The Last Decade
Javier Ferrer
21 papers receiving 333 citations
Peers
Comparison fields: 5 of 44
- Software 184
- Information Systems 127
- Transportation 27
- Computer Science Applications 20
- Computer Networks and Communications 71
Countries citing papers authored by Javier Ferrer
This map shows the geographic impact of Javier Ferrer'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 Javier Ferrer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Ferrer more than expected).
Fields of papers citing papers by Javier Ferrer
This network shows the impact of papers produced by Javier Ferrer. 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 Javier Ferrer. The network helps show where Javier Ferrer may publish in the future.
Co-authors
The 15 scholars most cited alongside Javier Ferrer, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 57 | |
| 2 | 2013 | 39 | |
| 3 | 2014 | 28 | |
| 4 | 2019 | 27 | |
| 5 | 2014 | 24 | |
| 6 | 2013 | 23 | |
| 7 | 2012 | 22 | |
| 8 | 2010 | 20 | |
| 9 | 2014 | 18 | |
| 10 | 2011 | 18 | |
| 11 | 2014 | 16 | |
| 12 | 2019 | 14 | |
| 13 | 2019 | 10 | |
| 14 | 2016 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2020 | 3 | |
| 18 | 2021 | 2 | |
| 19 | On the Correlation between Static Measures and Code Coverage using Evolutionary Test Case Generation | 2009 | 1 |
| 20 | 2009 | 1 |
About Javier Ferrer
Javier Ferrer is a scholar working on Software, Information Systems, Artificial Intelligence, Control and Systems Engineering and Transportation, having authored 22 papers that have together received 342 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (11 papers), Software Reliability and Analysis Research (9 papers), Software Engineering Research (8 papers), Advanced Software Engineering Methodologies (5 papers), Transportation Planning and Optimization (4 papers), Traffic control and management (4 papers), Software Engineering Techniques and Practices (3 papers) and Advanced MIMO Systems Optimization (2 papers). The work is most often cited by research in Software (184 citations), Information Systems (127 citations), Transportation (27 citations), Computer Science Applications (20 citations) and Computer Networks and Communications (71 citations). Javier Ferrer has collaborated with scholars based in Spain, Austria and Sweden. Frequent co-authors include Enrique Alba, Francisco Chicano, Roberto E. Lopez-Herrejon, Alexander Egyed, Peter Kruse, Jens Zander, Lei Shi, José García-Nieto, Manuel López‐Ibáñez and Andrés Camero. Their work appears in journals such as Information and Software Technology, IEEE Access, Biosystems, Evolutionary Computation and Software Practice and Experience.
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.