Marco Castelluccio

799 total citations
11 papers, 99 citations indexed

About

Marco Castelluccio is a scholar working on Information Systems, Software and Signal Processing. According to data from OpenAlex, Marco Castelluccio has authored 11 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 5 papers in Software and 3 papers in Signal Processing. Recurrent topics in Marco Castelluccio's work include Software Engineering Research (7 papers), Software Testing and Debugging Techniques (4 papers) and Software Reliability and Analysis Research (3 papers). Marco Castelluccio is often cited by papers focused on Software Engineering Research (7 papers), Software Testing and Debugging Techniques (4 papers) and Software Reliability and Analysis Research (3 papers). Marco Castelluccio collaborates with scholars based in Canada, Switzerland and Italy. Marco Castelluccio's co-authors include Alberto Bacchelli, Achyudh Ram, Anand Ashok Sawant, Foutse Khomh, Luisa Verdoliva, Carlo Sansone, Giovanni Poggi, Mohammad Masudur Rahman, Riccardo Coppola and Luca Ardito and has published in prestigious journals such as Empirical Software Engineering, SoftwareX and ArXiv.org.

In The Last Decade

Marco Castelluccio

10 papers receiving 99 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Castelluccio Canada	6	72	36	22	20	18	11	99
Josh Levenberg United States	2	78 1.1×	43 1.2×	22 1.0×	11 0.6×	31 1.7×	2	97
I. S. W. B. Prasetya Netherlands	7	62 0.9×	86 2.4×	39 1.8×	19 0.9×	23 1.3×	46	133
Jingxuan Zhang China	7	99 1.4×	19 0.5×	59 2.7×	22 1.1×	22 1.2×	13	136
Alex Loh United States	3	109 1.5×	84 2.3×	25 1.1×	16 0.8×	31 1.7×	3	122
Danilo Silva Brazil	4	118 1.6×	84 2.3×	20 0.9×	10 0.5×	32 1.8×	6	126
Achyudh Ram Netherlands	5	45 0.6×	18 0.5×	69 3.1×	14 0.7×	4 0.2×	9	119
Lukas Renggli Switzerland	6	78 1.1×	27 0.8×	62 2.8×	6 0.3×	52 2.9×	16	113
R. DeMori Canada	4	137 1.9×	91 2.5×	44 2.0×	12 0.6×	21 1.2×	8	150
Elnar Hajiyev United Kingdom	5	104 1.4×	50 1.4×	81 3.7×	5 0.3×	28 1.6×	8	127
Anna Derezińska Poland	7	71 1.0×	116 3.2×	15 0.7×	4 0.2×	19 1.1×	19	123

Countries citing papers authored by Marco Castelluccio

Since Specialization

Citations

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

Fields of papers citing papers by Marco Castelluccio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Castelluccio

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Kitsios, Konstantinos, Marco Castelluccio, & Alberto Bacchelli. (2025). Automated Generation of Issue-Reproducing Tests by Combining LLMs and Search-Based Testing. ArXiv.org. 1982–1994.

2.

Castelluccio, Marco, et al.. (2024). Unveiling the Potential of a Conversational Agent in Developer Support: Insights from Mozilla’s PDF.js Project. 10–18. 2 indexed citations

3.

Castelluccio, Marco, et al.. (2024). Mind the Gap: What Working With Developers on Fuzz Tests Taught Us About Coverage Gaps. Research Repository (Delft University of Technology). 157–167. 4 indexed citations

4.

Rahman, Mohammad Masudur, Foutse Khomh, & Marco Castelluccio. (2022). Works for Me! Cannot Reproduce – A Large Scale Empirical Study of Non-reproducible Bugs. Empirical Software Engineering. 27(5). 6 indexed citations

5.

Ardito, Luca, et al.. (2020). rust-code-analysis: A Rust library to analyze and extract maintainability information from source codes. SoftwareX. 12. 100635–100635. 9 indexed citations

6.

Castelluccio, Marco, et al.. (2019). An empirical study of DLL injection bugs in the Firefox ecosystem. Empirical Software Engineering. 24(4). 1799–1822. 4 indexed citations

7.

Castelluccio, Marco, et al.. (2018). An empirical study of patch uplift in rapid release development pipelines. Empirical Software Engineering. 24(5). 3008–3044. 12 indexed citations

8.

Khomh, Foutse, et al.. (2018). Why Did This Reviewed Code Crash? An Empirical Study of Mozilla Firefox. PolyPublie (École Polytechnique de Montréal). 1695. 396–405. 2 indexed citations

9.

Ram, Achyudh, Anand Ashok Sawant, Marco Castelluccio, & Alberto Bacchelli. (2018). What makes a code change easier to review: an empirical investigation on code change reviewability. 201–212. 35 indexed citations

10.

Castelluccio, Marco, et al.. (2017). Automatically analyzing groups of crashes for finding correlations. 717–726. 13 indexed citations

11.

Castelluccio, Marco, Giovanni Poggi, Carlo Sansone, & Luisa Verdoliva. (2017). Training convolutional neural networks for semantic classification of remote sensing imagery. 1–4. 12 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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