Javier Ferrer

616 total citations
22 papers, 342 citations indexed

About

Javier Ferrer is a scholar working on Software, Information Systems and Artificial Intelligence. According to data from OpenAlex, Javier Ferrer has authored 22 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Software, 9 papers in Information Systems and 5 papers in Artificial Intelligence. Recurrent topics in Javier Ferrer's work include Software Testing and Debugging Techniques (11 papers), Software Reliability and Analysis Research (9 papers) and Software Engineering Research (8 papers). Javier Ferrer is often cited by papers focused on Software Testing and Debugging Techniques (11 papers), Software Reliability and Analysis Research (9 papers) and Software Engineering Research (8 papers). Javier Ferrer collaborates with scholars based in Spain, Austria and Sweden. Javier Ferrer's co-authors include Enrique Alba, Francisco Chicano, Roberto E. Lopez-Herrejon, Alexander Egyed, Jens Zander, Lei Shi, Peter Kruse, José García-Nieto, Manuel López‐Ibáñez and Andrés Camero and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Soft Computing.

In The Last Decade

Javier Ferrer

21 papers receiving 333 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Javier Ferrer Spain 12 184 127 92 71 46 22 342
Nga Nguyen France 12 101 0.5× 46 0.4× 66 0.7× 80 1.1× 86 1.9× 31 357
Yunzhan Gong China 9 160 0.9× 157 1.2× 54 0.6× 91 1.3× 45 1.0× 74 316
Ken Pierce United Kingdom 9 74 0.4× 61 0.5× 42 0.5× 44 0.6× 16 0.3× 28 217
Hoang Nga Nguyen United Kingdom 11 52 0.3× 50 0.4× 102 1.1× 42 0.6× 84 1.8× 48 292
Tamim Ahmed Khan Pakistan 10 135 0.7× 161 1.3× 43 0.5× 120 1.7× 66 1.4× 40 338
Thorsten Pawletta Germany 9 52 0.3× 45 0.4× 54 0.6× 28 0.4× 17 0.4× 51 274
Leı̈la Kloul France 11 77 0.4× 77 0.6× 81 0.9× 117 1.6× 25 0.5× 39 302
Laura Carnevali Italy 10 79 0.4× 26 0.2× 48 0.5× 66 0.9× 24 0.5× 44 314
Martin Sachenbacher Germany 9 67 0.4× 17 0.1× 98 1.1× 48 0.7× 142 3.1× 31 325
Ömer Faruk Arar Türkiye 7 227 1.2× 268 2.1× 116 1.3× 96 1.4× 16 0.3× 8 386

Countries citing papers authored by Javier Ferrer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Javier Ferrer

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Ferrer. A scholar is included among the top collaborators of Javier Ferrer 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 Javier Ferrer. Javier Ferrer 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
1.
Ferrer, Javier, et al.. (2022). Hybridization of Evolutionary Operators with Elitist Iterated Racing for the Simulation Optimization of Traffic Lights Programs. Evolutionary Computation. 31(1). 31–51. 1 indexed citations
2.
Saborido, Rubén, Javier Ferrer, Francisco Chicano, & Enrique Alba. (2022). Automatizing Software Cognitive Complexity Reduction. IEEE Access. 10. 11642–11656. 5 indexed citations
3.
Alba, Enrique, et al.. (2021). Metaheuristics and Software Engineering: Past, Present, and Future. International Journal of Software Engineering and Knowledge Engineering. 31(9). 1349–1375. 2 indexed citations
4.
Ramírez, Aurora, et al.. (2020). A systematic literature review of the SBSE research community in Spain. Progress in Artificial Intelligence. 9(2). 113–128. 3 indexed citations
5.
Ferrer, Javier & Enrique Alba. (2019). BIN-CT: Urban waste collection based on predicting the container fill level. Biosystems. 186. 103962–103962. 27 indexed citations
6.
Camero, Andrés, Jamal Toutouh, Javier Ferrer, & Enrique Alba. (2019). Waste generation prediction under uncertainty in smart cities through deep neuroevolution. Revista Facultad de Ingeniería Universidad de Antioquia. 128–138. 10 indexed citations
7.
8.
Ferrer, Javier, José García-Nieto, Enrique Alba, & Francisco Chicano. (2016). Intelligent Testing of Traffic Light Programs: Validation in Smart Mobility Scenarios. Mathematical Problems in Engineering. 2016. 1–19. 7 indexed citations
9.
Lopez-Herrejon, Roberto E., et al.. (2014). A parallel evolutionary algorithm for prioritized pairwise testing of software product lines. Repositorio Institucional de la Universidad de Málaga (University of Málaga). 1255–1262. 24 indexed citations
10.
Lopez-Herrejon, Roberto E., Javier Ferrer, Francisco Chicano, Alexander Egyed, & Enrique Alba. (2014). Comparative analysis of classical multi-objective evolutionary algorithms and seeding strategies for pairwise testing of Software Product Lines. Repositorio Institucional de la Universidad de Málaga (University of Málaga). 387–396. 28 indexed citations
11.
García-Nieto, José, Javier Ferrer, & Enrique Alba. (2014). Optimising traffic lights with metaheuristics: Reduction of car emissions and consumption. idUS (Universidad de Sevilla). 16 indexed citations
12.
Ferrer, Javier, Peter Kruse, Francisco Chicano, & Enrique Alba. (2014). Search based algorithms for test sequence generation in functional testing. Information and Software Technology. 58. 419–432. 18 indexed citations
13.
Ferrer, Javier, Francisco Chicano, & Enrique Alba. (2013). Estimating software testing complexity. Information and Software Technology. 55(12). 2125–2139. 23 indexed citations
14.
Lopez-Herrejon, Roberto E., Francisco Chicano, Javier Ferrer, Alexander Egyed, & Enrique Alba. (2013). Multi-objective Optimal Test Suite Computation for Software Product Line Pairwise Testing. Repositorio Institucional de la Universidad de Málaga (University of Málaga). 404–407. 39 indexed citations
15.
Ferrer, Javier, Peter Kruse, Francisco Chicano, & Enrique Alba. (2012). Evolutionary algorithm for prioritized pairwise test data generation. Repositorio Institucional de la Universidad de Málaga (University of Málaga). 1213–1220. 22 indexed citations
16.
Ferrer, Javier, Francisco Chicano, & Enrique Alba. (2011). Evolutionary algorithms for the multi‐objective test data generation problem. Software Practice and Experience. 42(11). 1331–1362. 57 indexed citations
17.
Shi, Lei, et al.. (2011). A Model for Aggregate Adjacent Channel Interference in TV White Space. 18 indexed citations
18.
19.
Ferrer, Javier, Francisco Chicano, & Enrique Alba. (2009). On the Correlation between Static Measures and Code Coverage using Evolutionary Test Case Generation. 1 indexed citations
20.
Ferrer, Javier, Francisco Chicano, & Enrique Alba. (2009). Dealing with inheritance in OO evolutionary testing. Repositorio Institucional de la Universidad de Málaga (University of Málaga). 1665–1672. 1 indexed citations

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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