Pasquale Ardimento

434 total citations
39 papers, 196 citations indexed

About

Pasquale Ardimento is a scholar working on Information Systems, Software and Computer Science Applications. According to data from OpenAlex, Pasquale Ardimento has authored 39 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Information Systems, 12 papers in Software and 10 papers in Computer Science Applications. Recurrent topics in Pasquale Ardimento's work include Software Engineering Research (20 papers), Software Engineering Techniques and Practices (14 papers) and Software Reliability and Analysis Research (9 papers). Pasquale Ardimento is often cited by papers focused on Software Engineering Research (20 papers), Software Engineering Techniques and Practices (14 papers) and Software Reliability and Analysis Research (9 papers). Pasquale Ardimento collaborates with scholars based in Italy and Estonia. Pasquale Ardimento's co-authors include Marta Cimitile, Mario Luca Bernardi, Lerina Aversano, Giuseppe Visaggio, Martina Iammarino, Danilo Caivano, Fabrizio Maria Maggi, María Teresa Baldassarre, Alessandro Bianchi and Domenico Redavid and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Neurocomputing.

In The Last Decade

Pasquale Ardimento

33 papers receiving 187 citations

Peers

Pasquale Ardimento

SOFTW

CNC

CSA

Sadia Ali Pakistan

Anas Shatnawi France

José Cambronero United States

Gwendal Daniel Spain

Mirosław Ochodek Poland

Themistoklis Diamantopoulos Greece

Werner Heijstek Netherlands

Nicolli S.R. Alves Brazil

Stephany Bellomo United States

Areti Ampatzoglou Greece

Sadia Ali Pakistan

Pasquale Ardimento

166 ×1.3

44 ×0.7

SOFTW

63 ×1.4

CNC

83 ×1.9

40 ×1.0

CSA

Citations per year, relative to Pasquale Ardimento Pasquale Ardimento (= 1×) peers Sadia Ali

Countries citing papers authored by Pasquale Ardimento

Since Specialization

Citations

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

Fields of papers citing papers by Pasquale Ardimento

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pasquale Ardimento

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

All Works

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20 of 20 papers shown

Ardimento, Pasquale, et al.. (2025). A novel LLM-based classifier for predicting bug-fixing time in Bug Tracking Systems. Journal of Systems and Software. 230. 112569–112569.

Ardimento, Pasquale, Mario Luca Bernardi, Marta Cimitile, & Michele Scalera. (2024). A RAG-based Feedback Tool to Augment UML Class Diagram Learning. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 26–30. 1 indexed citations

Ardimento, Pasquale, Mario Luca Bernardi, & Marta Cimitile. (2024). Teaching UML using a RAG-based LLM. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 1–8. 6 indexed citations

Ardimento, Pasquale, et al.. (2023). Evo-GUNet3++: Using evolutionary algorithms to train UNet-based architectures for efficient 3D lung cancer detection. Applied Soft Computing. 144. 110465–110465. 11 indexed citations

Ardimento, Pasquale, et al.. (2023). UML Miner: A Tool for Mining UML Diagrams. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 30–34. 3 indexed citations

Ardimento, Pasquale, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, & Martina Iammarino. (2022). Using deep temporal convolutional networks to just-in-time forecast technical debt principal. Journal of Systems and Software. 194. 111481–111481. 2 indexed citations

Ardimento, Pasquale, et al.. (2022). A Supervised Generative Topic Model to Predict Bug-fixing Time on Open Source Software Projects. 233–240. 1 indexed citations

Ardimento, Pasquale, Mario Luca Bernardi, Marta Cimitile, Domenico Redavid, & Stefano Ferilli. (2022). Understanding Coding Behavior: An Incremental Process Mining Approach. Electronics. 11(3). 389–389. 4 indexed citations

Ardimento, Pasquale, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, & Martina Iammarino. (2021). Just-in-time software defect prediction using deep temporal convolutional networks. Neural Computing and Applications. 34(5). 3981–4001. 14 indexed citations

10.

Ardimento, Pasquale, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, & Martina Iammarino. (2021). Transfer Learning for Just-in-Time Design Smells Prediction using Temporal Convolutional Networks. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 4 indexed citations

11.

Ardimento, Pasquale, Mario Luca Bernardi, & Marta Cimitile. (2020). Towards automatic assessment of object-oriented programs. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 276–277. 1 indexed citations

12.

Ardimento, Pasquale, Lerina Aversano, Mario Luca Bernardi, & Marta Cimitile. (2020). Data-Aware Declarative Process Mining for Malware Detection. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 2. 1–8. 1 indexed citations

13.

Ardimento, Pasquale, et al.. (2019). Reusing Bugged Source Code to Support Novice Programmers in Debugging Tasks. ACM Transactions on Computing Education. 20(1). 1–24. 9 indexed citations

14.

Ardimento, Pasquale, Mario Luca Bernardi, Marta Cimitile, & Fabrizio Maria Maggi. (2019). Evaluating Coding Behavior in Software Development Processes: A Process Mining Approach. View. 84–93. 16 indexed citations

15.

Ardimento, Pasquale, Mario Luca Bernardi, & Marta Cimitile. (2018). A Multi-source Machine Learning Approach to Predict Defect Prone Components. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 306–313. 1 indexed citations

16.

Ardimento, Pasquale, Mario Luca Bernardi, & Marta Cimitile. (2018). A Multi-source Machine Learning Approach to Predict Defect Prone Components. 272–279. 2 indexed citations

17.

Ardimento, Pasquale, Marta Cimitile, & Giuseppe Visaggio. (2012). Knowledge Management Integrated with e-learning in Open Innovation. SHILAP Revista de lepidopterología. 1 indexed citations

18.

Ardimento, Pasquale, et al.. (2011). The Lifelong Learning in the University: Learning Networks and Knowledge Transferring. SHILAP Revista de lepidopterología. 1 indexed citations

19.

Ardimento, Pasquale, María Teresa Baldassarre, Marta Cimitile, & Giuseppe Visaggio. (2007). EMPIRICAL VALIDATION ONKNOWLEDGE PACKAGING SUPPORTING KNOWLEDGE TRANSFER. 212–218.

20.

Ardimento, Pasquale, María Teresa Baldassarre, Danilo Caivano, & Giuseppe Visaggio. (2005). Assessing multiview framework (MF) comprehensibility and efficiency: A replicated experiment. Information and Software Technology. 48(5). 313–322. 6 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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