Jackson Prado Lima

400 total citations
18 papers, 295 citations indexed

About

Jackson Prado Lima is a scholar working on Software, Information Systems and Artificial Intelligence. According to data from OpenAlex, Jackson Prado Lima has authored 18 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Software, 12 papers in Information Systems and 4 papers in Artificial Intelligence. Recurrent topics in Jackson Prado Lima's work include Software Testing and Debugging Techniques (16 papers), Software Reliability and Analysis Research (12 papers) and Software Engineering Research (12 papers). Jackson Prado Lima is often cited by papers focused on Software Testing and Debugging Techniques (16 papers), Software Reliability and Analysis Research (12 papers) and Software Engineering Research (12 papers). Jackson Prado Lima collaborates with scholars based in Brazil and Portugal. Jackson Prado Lima's co-authors include Sílvia Regina Vergílio, Aurora Pozo, Wesley K. G. Assunção, André Takeshi Endo, Nuno Gracias, Helder A. Pereira, Alessandro Pasquale De Rosa, Mário A. T. Figueiredo and Ana Fred and has published in prestigious journals such as IEEE Transactions on Software Engineering, Applied Soft Computing and Journal of Systems and Software.

In The Last Decade

Jackson Prado Lima

17 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jackson Prado Lima Brazil 9 219 178 71 54 27 18 295
Huayao Wu China 8 203 0.9× 128 0.7× 57 0.8× 53 1.0× 20 0.7× 30 293
Alessandra Bagnato Spain 8 114 0.5× 141 0.8× 53 0.7× 91 1.7× 20 0.7× 42 261
Simon Poulding United Kingdom 11 239 1.1× 222 1.2× 88 1.2× 47 0.9× 21 0.8× 34 340
Nuno Macedo Portugal 11 196 0.9× 105 0.6× 123 1.7× 53 1.0× 65 2.4× 24 278
Alcino Cunha Portugal 12 209 1.0× 141 0.8× 165 2.3× 85 1.6× 59 2.2× 39 329
Markus Herrmannsdoerfer Germany 9 187 0.9× 166 0.9× 134 1.9× 57 1.1× 19 0.7× 14 279
Mehrdad Saadatmand Sweden 11 173 0.8× 147 0.8× 136 1.9× 82 1.5× 44 1.6× 57 326
Tihana Galinac Grbac Croatia 10 168 0.8× 248 1.4× 74 1.0× 113 2.1× 12 0.4× 54 365
Stefan Wappler Germany 9 366 1.7× 225 1.3× 68 1.0× 63 1.2× 19 0.7× 18 421
Martin Feilkas Germany 7 98 0.4× 98 0.6× 78 1.1× 35 0.6× 18 0.7× 11 189

Countries citing papers authored by Jackson Prado Lima

Since Specialization
Citations

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

Fields of papers citing papers by Jackson Prado Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jackson Prado Lima. 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 Jackson Prado Lima. The network helps show where Jackson Prado Lima may publish in the future.

Co-authorship network of co-authors of Jackson Prado Lima

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

All Works

18 of 18 papers shown
1.
Lima, Jackson Prado, et al.. (2024). On the use of contextual information for machine learning based test case prioritization in continuous integration development. Information and Software Technology. 171. 107444–107444. 3 indexed citations
2.
Lima, Jackson Prado & Sílvia Regina Vergílio. (2023). An Evaluation of Ranking-to-Learn Approaches for Test Case Prioritization in Continuous Integration. 1 indexed citations
3.
Lima, Jackson Prado, et al.. (2022). Cost-effective learning-based strategies for test case prioritization in continuous integration of highly-configurable software. Empirical Software Engineering. 27(6). 4 indexed citations
4.
Lima, Jackson Prado, et al.. (2022). Machine Learning Regression Techniques for Test Case Prioritization in Continuous Integration Environment. 196–206. 8 indexed citations
5.
Lima, Jackson Prado, et al.. (2021). A mapping study on mutation testing for mobile applications. Software Testing Verification and Reliability. 32(8). 6 indexed citations
6.
Lima, Jackson Prado & Sílvia Regina Vergílio. (2020). A Multi-Armed Bandit Approach for Test Case Prioritization in Continuous Integration Environments. IEEE Transactions on Software Engineering. 48(2). 453–465. 40 indexed citations
7.
Lima, Jackson Prado & Sílvia Regina Vergílio. (2020). Test Case Prioritization in Continuous Integration environments: A systematic mapping study. Information and Software Technology. 121. 106268–106268. 73 indexed citations
8.
Lima, Jackson Prado, et al.. (2020). Learning-based prioritization of test cases in continuous integration of highly-configurable software. 1–11. 12 indexed citations
9.
Lima, Jackson Prado & Sílvia Regina Vergílio. (2020). Multi-Armed Bandit Test Case Prioritization in Continuous Integration Environments. 21–30. 7 indexed citations
10.
Lima, Jackson Prado & Sílvia Regina Vergílio. (2019). A systematic mapping study on higher order mutation testing. Journal of Systems and Software. 154. 92–109. 15 indexed citations
11.
Lima, Jackson Prado & Sílvia Regina Vergílio. (2018). Search-Based Higher Order Mutation Testing. 87–96. 4 indexed citations
12.
Lima, Jackson Prado, et al.. (2017). Hyper-Heuristic Based Product Selection for Software Product Line Testing. IEEE Computational Intelligence Magazine. 12(2). 34–45. 43 indexed citations
13.
Lima, Jackson Prado, et al.. (2017). Automatic Generation of Search-Based Algorithms Applied to the Feature Testing of Software Product Lines. 114–123. 11 indexed citations
14.
Lima, Jackson Prado & Sílvia Regina Vergílio. (2017). A Multi-objective optimization approach for selection of second order mutant generation strategies. 1–10. 10 indexed citations
15.
Lima, Jackson Prado, et al.. (2016). Deriving products for variability test of Feature Models with a hyper-heuristic approach. Applied Soft Computing. 49. 1232–1242. 37 indexed citations
16.
Lima, Jackson Prado, et al.. (2016). Evaluating Different Strategies for Reduction of Mutation Testing Costs. 1–10. 15 indexed citations
17.
Lima, Jackson Prado, Nuno Gracias, Helder A. Pereira, & Alessandro Pasquale De Rosa. (2002). Fitness function design for genetic algorithms in cost evaluation based problems. 207–212. 6 indexed citations
18.
Gracias, Nuno, Jackson Prado Lima, Mário A. T. Figueiredo, & Ana Fred. (2002). Adaptive contour estimation with genetic algorithms. 3. 2265–2269.

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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