Jean Petrić

440 total citations
14 papers, 333 citations indexed

About

Jean Petrić is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Jean Petrić has authored 14 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 12 papers in Software and 1 paper in Computer Networks and Communications. Recurrent topics in Jean Petrić's work include Software Engineering Research (13 papers), Software Reliability and Analysis Research (11 papers) and Software Testing and Debugging Techniques (9 papers). Jean Petrić is often cited by papers focused on Software Engineering Research (13 papers), Software Reliability and Analysis Research (11 papers) and Software Testing and Debugging Techniques (9 papers). Jean Petrić collaborates with scholars based in United Kingdom, Finland and Italy. Jean Petrić's co-authors include David Bowes, Tracy Hall, Nathan Baddoo, Bruce Christianson, Burak Turhan, Tihana Galinac Grbac, Peter C. R. Lane, Steve Counsell, Giuseppe Destefanis and Marco Ortu and has published in prestigious journals such as Information and Software Technology, Software Quality Journal and University of Hertfordshire Research Archive (University of Hertfordshire).

In The Last Decade

Jean Petrić

14 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jean Petrić United Kingdom	8	307	280	103	63	9	14	333
Mei-Huei Tang United States	5	220 0.7×	203 0.7×	60 0.6×	49 0.8×	11 1.2×	15	253
Mei-Hwa Chen United States	4	260 0.8×	287 1.0×	91 0.9×	80 1.3×	4 0.4×	7	326
Kamaldeep Kaur India	10	178 0.6×	158 0.6×	95 0.9×	44 0.7×	3 0.3×	28	231
Sashank Dara India	5	296 1.0×	240 0.9×	127 1.2×	86 1.4×	19 2.1×	11	335
Jeongju Sohn South Korea	6	166 0.5×	184 0.7×	64 0.6×	38 0.6×	3 0.3×	13	234
Yuanrui Fan China	8	278 0.9×	185 0.7×	81 0.8×	54 0.9×	28 3.1×	9	294
Nadia Bouassida Tunisia	10	247 0.8×	123 0.4×	41 0.4×	117 1.9×	12 1.3×	51	273
Aryaz Eghbali Germany	5	110 0.4×	107 0.4×	40 0.4×	55 0.9×	7 0.8×	7	190
Santiago Vidal Argentina	9	267 0.9×	182 0.7×	116 1.1×	71 1.1×	20 2.2×	26	299
Rogério Carapuça Portugal	3	274 0.9×	195 0.7×	72 0.7×	109 1.7×	13 1.4×	5	284

Countries citing papers authored by Jean Petrić

Since Specialization

Citations

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

Fields of papers citing papers by Jean Petrić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Petrić

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

All Works

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14 of 14 papers shown

1.

Petrić, Jean, Tracy Hall, & David Bowes. (2020). Which Software Faults Are Tests Not Detecting?. 160–169. 2 indexed citations

2.

Bowes, David, et al.. (2018). Reproducibility and replicability of software defect prediction studies. Information and Software Technology. 99. 148–163. 21 indexed citations

3.

Petrić, Jean, Tracy Hall, & David Bowes. (2018). How Effectively Is Defective Code Actually Tested?. Lancaster EPrints (Lancaster University). 42–51. 7 indexed citations

4.

Destefanis, Giuseppe, et al.. (2018). A Longitudinal Study of Anti Micro Patterns in 113 versions of Tomcat. Lancaster EPrints (Lancaster University). 90–93. 1 indexed citations

5.

Bowes, David, et al.. (2017). How good are my tests. 9–14. 17 indexed citations

6.

Bowes, David, et al.. (2017). Getting Defect Prediction Into Industrial Practice: the ELFF Tool. 30. 44–47. 7 indexed citations

7.

Bowes, David, et al.. (2017). How Good Are My Tests?. 9–14. 26 indexed citations

8.

Bowes, David, Tracy Hall, & Jean Petrić. (2017). Software defect prediction: do different classifiers find the same defects?. Software Quality Journal. 26(2). 525–552. 142 indexed citations

9.

Petrić, Jean, David Bowes, Tracy Hall, Bruce Christianson, & Nathan Baddoo. (2016). The jinx on the NASA software defect data sets. 1–5. 42 indexed citations

10.

Petrić, Jean, David Bowes, Tracy Hall, Bruce Christianson, & Nathan Baddoo. (2016). Building an Ensemble for Software Defect Prediction Based on Diversity Selection. Lancaster EPrints (Lancaster University). 1–10. 46 indexed citations

11.

Petrić, Jean. (2016). Using different characteristics of machine learners to identify different defect families. 1–4. 2 indexed citations

12.

Bowes, David, Tracy Hall, & Jean Petrić. (2015). Different Classifiers Find Different Defects Although With Different Level of Consistency. University of Hertfordshire Research Archive (University of Hertfordshire). 1–10. 9 indexed citations

13.

Petrić, Jean, et al.. (2014). Processing and Data Collection of Program Structures in Open Source Repositories.. 57–66. 2 indexed citations

14.

Petrić, Jean & Tihana Galinac Grbac. (2014). Software structure evolution and relation to system defectiveness. 1–10. 9 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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