Roberto Natella

2.5k total citations
85 papers, 1.5k citations indexed

About

Roberto Natella is a scholar working on Computer Networks and Communications, Software and Information Systems. According to data from OpenAlex, Roberto Natella has authored 85 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Networks and Communications, 40 papers in Software and 32 papers in Information Systems. Recurrent topics in Roberto Natella's work include Software System Performance and Reliability (40 papers), Software Reliability and Analysis Research (35 papers) and Software Testing and Debugging Techniques (18 papers). Roberto Natella is often cited by papers focused on Software System Performance and Reliability (40 papers), Software Reliability and Analysis Research (35 papers) and Software Testing and Debugging Techniques (18 papers). Roberto Natella collaborates with scholars based in Italy, United States and Germany. Roberto Natella's co-authors include Domenico Cotroneo, Roberto Pietrantuono, Stefano Russo, Henrique Madeira, Luigi De Simone, Antonio Ken Iannillo, João Durães, Michael Grottke, Kishor S. Trivedi and Stefan Winter and has published in prestigious journals such as Expert Systems with Applications, IEEE Communications Magazine and ACM Computing Surveys.

In The Last Decade

Roberto Natella

81 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roberto Natella Italy	21	1.0k	693	632	389	280	85	1.5k
Kalyanaraman Vaidyanathan United States	13	1.4k 1.3×	684 1.0×	853 1.3×	146 0.4×	234 0.8×	15	1.7k
Roberto Pietrantuono Italy	21	873 0.8×	778 1.1×	805 1.3×	151 0.4×	241 0.9×	94	1.4k
Tohru Kikuno Japan	19	579 0.6×	754 1.1×	799 1.3×	135 0.3×	214 0.8×	166	1.5k
Nikolaj Bjørner United States	21	664 0.6×	511 0.7×	374 0.6×	161 0.4×	779 2.8×	82	1.6k
Ferhat Khendek Canada	17	614 0.6×	717 1.0×	548 0.9×	124 0.3×	316 1.1×	141	1.5k
Alberto Avritzer United States	18	832 0.8×	521 0.8×	582 0.9×	67 0.2×	339 1.2×	85	1.2k
Ram Chillarege United States	17	639 0.6×	1.0k 1.5×	927 1.5×	215 0.6×	264 0.9×	43	1.5k
William H. Sanders United States	20	932 0.9×	213 0.3×	316 0.5×	112 0.3×	231 0.8×	120	1.5k
Chandra M. R. Kintala United States	18	1.1k 1.1×	360 0.5×	461 0.7×	163 0.4×	360 1.3×	38	1.5k
Arjan J. C. van Gemund Netherlands	25	1.0k 1.0×	1.6k 2.4×	1.4k 2.3×	71 0.2×	263 0.9×	77	2.4k

Countries citing papers authored by Roberto Natella

Since Specialization

Citations

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

Fields of papers citing papers by Roberto Natella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Natella

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Natella. A scholar is included among the top collaborators of Roberto Natella 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 Roberto Natella. Roberto Natella 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

Cesarano, Carmine, et al.. (2025). GENIO: Synergizing Edge Computing with Optical Network Infrastructures. IEEE Communications Magazine. 63(7). 154–160. 1 indexed citations

Natella, Roberto, et al.. (2025). Generative AI in Cybersecurity: Generating Offensive Code from Natural Language. 174–175.

Yu, Guangba, et al.. (2025). A Survey on Failure Analysis and Fault Injection in AI Systems. ACM Transactions on Software Engineering and Methodology. 35(1). 1–42. 1 indexed citations

Zhang, Chen, et al.. (2024). SGT: Aging-related bug prediction via semantic feature learning based on graph-transformer. Journal of Systems and Software. 217. 112156–112156.

Natella, Roberto, et al.. (2024). AI Code Generators for Security: Friend or Foe?. IEEE Security & Privacy. 22(5). 73–81. 4 indexed citations

Cotroneo, Domenico, et al.. (2024). Laccolith: Hypervisor-Based Adversary Emulation With Anti-Detection. IEEE Transactions on Dependable and Secure Computing. 21(6). 5374–5387. 4 indexed citations

Cesarano, Carmine & Roberto Natella. (2024). Securing an Application Layer Gateway: An Industrial Case Study. 75–80. 1 indexed citations

Natella, Roberto, et al.. (2024). Enhancing robustness of AI offensive code generators via data augmentation. Empirical Software Engineering. 30(1). 3 indexed citations

Cotroneo, Domenico, et al.. (2024). DRACO: Distributed Resource-aware Admission Control for large-scale, multi-tier systems. Journal of Parallel and Distributed Computing. 192. 104935–104935.

10.

Cotroneo, Domenico, et al.. (2024). Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks. 280–292. 13 indexed citations

11.

Natella, Roberto, et al.. (2023). Who evaluates the evaluators? On automatic metrics for assessing AI-based offensive code generators. Expert Systems with Applications. 225. 120073–120073. 12 indexed citations

12.

Cotroneo, Domenico, Luigi De Simone, & Roberto Natella. (2022). ThorFI: a Novel Approach for Network Fault Injection as a Service. Journal of Network and Computer Applications. 201. 103334–103334. 9 indexed citations

13.

Cotroneo, Domenico, et al.. (2021). Enhancing the Analysis of Software Failures in Cloud Computing Systems with Deep Learning. arXiv (Cornell University). 13 indexed citations

14.

Iannillo, Antonio Ken, Domenico Cotroneo, Roberto Natella, & Roberto Pietrantuono. (2020). A comprehensive study on software aging across android versions and vendors. Open Repository and Bibliography (University of Luxembourg). 20 indexed citations

15.

Cotroneo, Domenico, et al.. (2019). Dependability Assessment of the Android OS Through Fault Injection. IEEE Transactions on Reliability. 70(1). 346–361. 11 indexed citations

16.

Natella, Roberto, Stefan Winter, Domenico Cotroneo, & Neeraj Suri. (2018). Analyzing the Effects of Bugs on Software Interfaces. IEEE Transactions on Software Engineering. 46(3). 280–301. 12 indexed citations

17.

Cotroneo, Domenico, Luigi De Simone, & Roberto Natella. (2018). Run-Time Detection of Protocol Bugs in Storage I/O Device Drivers. IEEE Transactions on Reliability. 67(3). 847–869. 12 indexed citations

18.

Cotroneo, Domenico, et al.. (2017). NFV-Throttle: An Overload Control Framework for Network Function Virtualization. IEEE Transactions on Network and Service Management. 14(4). 949–963. 15 indexed citations

19.

Iannillo, Antonio Ken, Roberto Natella, Domenico Cotroneo, & Cristina Nita-Rotaru. (2017). Chizpurfle: A Gray-Box Android Fuzzer for Vendor Service Customizations. Open Repository and Bibliography (University of Luxembourg). 1–11. 22 indexed citations

20.

Natella, Roberto, et al.. (2015). Error models for the representative injection of software defects. Lancaster EPrints (Lancaster University). 118–119. 1 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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