2026 Andrea De Lucia: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	80	1102	1067	13	13	345	19482

Andrea De Lucia publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Andrea De Lucia sits on this spectrum.

32 publications 991+

This scientist: 345 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Andrea De Lucia D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Andrea De Lucia sits on this spectrum.

30 D-Index 131+

This scientist: 80 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

2025 - Research.com Computer Science in Italy Leader Award
2023 - Research.com Computer Science in Italy Leader Award
2022 - Research.com Computer Science in Italy Leader Award

Overview

Andrea De Lucia is affiliated with the University of Salerno in Italy and has contributed extensively to the field of computer science, with a central focus on software engineering and related research areas. Their work spans a variety of subfields, including information systems, software development, artificial intelligence, signal processing, and computer science applications.

The scientist has published research on numerous topics, particularly within software engineering research and software reliability and analysis. Additional main themes in their research include advanced malware detection techniques, software testing and debugging methods, quantum computing algorithms and architecture, quantum information and cryptography, and cloud computing and resource management.

Andrea De Lucia's recent papers reflect attention to both empirical and theoretical issues within software engineering and software security. Notable recent publications include:

"A large empirical assessment of the role of data balancing in machine-learning-based code smell detection," 2020, Journal of Systems and Software
"The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study," 2022, IEEE Transactions on Software Engineering
"Just-in-time software vulnerability detection: Are we there yet?", 2022, Journal of Systems and Software
"Software engineering for quantum programming: How far are we?", 2022, Journal of Systems and Software
"Fairness-aware machine learning engineering: how far are we?", 2023, Empirical Software Engineering

Their frequent coauthors include Fabio Palomba, Fabiano Pecorelli, Filomena Ferrucci, Emanuele Iannone, and Dario Di Nucci, indicating strong collaborative ties within the software engineering research community.

Andrea De Lucia has contributed to several reputable publication venues, with multiple papers in Empirical Software Engineering, arXiv (Cornell University), Journal of Systems and Software, IEEE Transactions on Software Engineering, and ACM Transactions on Software Engineering and Methodology.

Best Publications

Recovering traceability links between code and documentation

G. Antoniol;G. Canfora;G. Casazza;A. De Lucia

1330
Citations
Development and evaluation of a virtual campus on Second Life: The case of SecondDMI

Andrea De Lucia;Rita Francese;Ignazio Passero;Genoveffa Tortora

589
Citations
Recovering traceability links in software artifact management systems using information retrieval methods

Andrea De Lucia;Fausto Fasano;Rocco Oliveto;Genoveffa Tortora

504
Citations
On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation

Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Fausto Fasano

380
Citations
How to effectively use topic models for software engineering tasks? an approach based on genetic algorithms

Annibale Panichella;Bogdan Dit;Rocco Oliveto;Massimilano Di Penta

321
Citations
Conditioned program slicing

Gerardo Canfora;Aniello Cimitile;Andrea De Lucia

319
Citations
Mining Version Histories for Detecting Code Smells

Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto

316
Citations
Detecting bad smells in source code using change history information

Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto

298
Citations
Do They Really Smell Bad? A Study on Developers' Perception of Bad Code Smells

Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto

298
Citations
When and why your code starts to smell bad

Michele Tufano;Fabio Palomba;Gabriele Bavota;Rocco Oliveto

296
Citations
Detecting code smells using machine learning techniques: Are we there yet?

Dario Di Nucci;Fabio Palomba;Damian A. Tamburri;Alexander Serebrenik

288
Citations
An experimental investigation on the innate relationship between quality and refactoring

Gabriele Bavota;Andrea De Lucia;Massimiliano Di Penta;Rocco Oliveto

268
Citations
When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away)

Michele Tufano;Fabio Palomba;Gabriele Bavota;Rocco Oliveto

252
Citations
On the Equivalence of Information Retrieval Methods for Automated Traceability Link Recovery

Rocco Oliveto;Malcom Gethers;Denys Poshyvanyk;Andrea De Lucia

249
Citations
User reviews matter! Tracking crowdsourced reviews to support evolution of successful apps

Fabio Palomba;Mario Linares-Vasquez;Gabriele Bavota;Rocco Oliveto

233
Citations
Automatic query reformulations for text retrieval in software engineering

Sonia Haiduc;Gabriele Bavota;Andrian Marcus;Rocco Oliveto

223
Citations
Understanding function behaviors through program slicing

A. De Lucia;A.R. Fasolino;M. Munro

220
Citations
Are test smells really harmful? An empirical study

Gabriele Bavota;Abdallah Qusef;Rocco Oliveto;Andrea Lucia

217
Citations
When Does a Refactoring Induce Bugs? An Empirical Study

Gabriele Bavota;Bernardino De Carluccio;Andrea De Lucia;Massimiliano Di Penta

215
Citations
Multi-objective Cross-Project Defect Prediction

Gerardo Canfora;Andrea De Lucia;Massimiliano Di Penta;Rocco Oliveto

214
Citations
[Journal First] On the Diffuseness and the Impact on Maintainability of Code Smells: A Large Scale Empirical Investigation

Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Fausto Fasano

0
Citations

Frequent Co-Authors

Rocco Oliveto University of Molise

Fabio Palomba University of Salerno

Gabriele Bavota Universita della Svizzera Italiana

Genoveffa Tortora University of Salerno

Massimiliano Di Penta University of Sannio

Denys Poshyvanyk William & Mary

Giuseppe Scanniello University of Salerno

Andy Zaidman Delft University of Technology

Andrian Marcus The University of Texas at Dallas

Gerardo Canfora University of Sannio

External Links

Personal website of Andrea De Lucia Google Scholar page

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