Marta Cimitile

1.9k total citations
105 papers, 1.0k citations indexed

About

Marta Cimitile is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Marta Cimitile has authored 105 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Information Systems, 32 papers in Artificial Intelligence and 22 papers in Computer Networks and Communications. Recurrent topics in Marta Cimitile's work include Software Engineering Research (24 papers), Business Process Modeling and Analysis (21 papers) and Service-Oriented Architecture and Web Services (16 papers). Marta Cimitile is often cited by papers focused on Software Engineering Research (24 papers), Business Process Modeling and Analysis (21 papers) and Service-Oriented Architecture and Web Services (16 papers). Marta Cimitile collaborates with scholars based in Italy, Estonia and Netherlands. Marta Cimitile's co-authors include Mario Luca Bernardi, Lerina Aversano, Riccardo Pecori, Francesco Mercaldo, Fabio Martinelli, Pasquale Ardimento, Fabrizio Maria Maggi, Martina Iammarino, Gerardo Canfora and Luigi Cerulo and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Marta Cimitile

97 papers receiving 971 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marta Cimitile Italy 18 425 329 282 206 139 105 1.0k
Mario Luca Bernardi Italy 19 437 1.0× 368 1.1× 268 1.0× 207 1.0× 159 1.1× 126 1.2k
Muhammad Waseem Anwar Pakistan 16 425 1.0× 233 0.7× 212 0.8× 77 0.4× 277 2.0× 106 943
Shaoying Liu Japan 17 671 1.6× 371 1.1× 268 1.0× 96 0.5× 780 5.6× 137 1.3k
Yogachandran Rahulamathavan United Kingdom 18 530 1.2× 511 1.6× 434 1.5× 251 1.2× 60 0.4× 56 1.3k
Jitender Kumar Chhabra India 21 782 1.8× 699 2.1× 298 1.1× 67 0.3× 503 3.6× 95 1.5k
Saeed Jalili Iran 18 335 0.8× 510 1.6× 252 0.9× 131 0.6× 64 0.5× 92 981
Laurence Tratt United Kingdom 15 612 1.4× 486 1.5× 217 0.8× 36 0.2× 557 4.0× 47 1.0k
Zheng Zhang China 23 401 0.9× 435 1.3× 1.4k 5.0× 105 0.5× 78 0.6× 79 1.7k
Yuichi Nakamura Japan 14 262 0.6× 577 1.8× 196 0.7× 132 0.6× 42 0.3× 65 1.3k

Countries citing papers authored by Marta Cimitile

Since Specialization
Citations

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

Fields of papers citing papers by Marta Cimitile

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Cimitile

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

All Works

20 of 20 papers shown
1.
Bernardi, Mario Luca, et al.. (2025). Enhancing next activity prediction in process mining with Retrieval-Augmented Generation. Information Systems. 137. 102642–102642.
2.
Aversano, Lerina, et al.. (2024). Characterization of Heart Diseases per Single Lead Using ECG Images and CNN-2D. Sensors. 24(11). 3485–3485. 1 indexed citations
3.
Bernardi, Mario Luca, Marta Cimitile, & Muhammad Usman. (2024). DQFed: A Federated Learning Strategy for Non-IID Data based on a Quality-Driven Perspective. 1–8. 1 indexed citations
4.
Aversano, Lerina, et al.. (2024). Explainable Anomaly Detection of Synthetic Medical IoT Traffic Using Machine Learning. SN Computer Science. 5(5). 5 indexed citations
5.
Bernardi, Mario Luca, et al.. (2024). Conversing with business process-aware large language models: the BPLLM framework. Journal of Intelligent Information Systems. 62(6). 1607–1629. 5 indexed citations
6.
Bernardi, Mario Luca & Marta Cimitile. (2024). Report Generation from X-Ray imaging by Retrieval-Augmented Generation and improved Image-Text Matching. 1–8. 2 indexed citations
7.
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
8.
Addabbo, Pia, Mario Luca Bernardi, Filippo Biondi, et al.. (2023). Super-Resolution of Synthetic Aperture Radar Complex Data by Deep-Learning. IEEE Access. 11. 23647–23658. 1 indexed citations
9.
Aversano, Lerina, et al.. (2023). A data-aware explainable deep learning approach for next activity prediction. Engineering Applications of Artificial Intelligence. 126. 106758–106758. 10 indexed citations
10.
Aversano, Lerina, Mario Luca Bernardi, Marta Cimitile, et al.. (2023). Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning. 10. 688–693.
11.
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
12.
Aversano, Lerina, et al.. (2023). A systematic review on artificial intelligence techniques for detecting thyroid diseases. PeerJ Computer Science. 9. e1394–e1394. 24 indexed citations
13.
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
14.
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
15.
Addabbo, Pia, Mario Luca Bernardi, Filippo Biondi, et al.. (2021). Temporal Convolutional Neural Networks for Radar Micro-Doppler Based Gait Recognition. Sensors. 21(2). 381–381. 25 indexed citations
16.
Aversano, Lerina, Mario Luca Bernardi, Marta Cimitile, & Riccardo Pecori. (2021). Deep neural networks ensemble to detect COVID-19 from CT scans. Pattern Recognition. 120. 108135–108135. 25 indexed citations
17.
Angrisano, Antonio, et al.. (2020). Identification of Walker Identity Using Smartphone Sensors: An Experiment Using Ensemble Learning. IEEE Access. 8. 27435–27447. 11 indexed citations
18.
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
19.
Cimitile, Marta, et al.. (2015). Improving Design Patterns Finder Precision Using a Model Checking Approach.. CEUR Workshop Proceedings. 113–120. 5 indexed citations
20.
Cimitile, Marta, Michele Risi, & Genoveffa Tortora. (2011). Automatic Generation of Multi Platform Web Map Mobile Applications.. 84–89. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mario Luca Bernardi Breakdown of academic impact, for papers by Muhammad Waseem Anwar Breakdown of academic impact, for papers by Shaoying Liu Breakdown of academic impact, for papers by Yogachandran Rahulamathavan Breakdown of academic impact, for papers by Jitender Kumar Chhabra Breakdown of academic impact, for papers by Saeed Jalili Breakdown of academic impact, for papers by Laurence Tratt Breakdown of academic impact, for papers by Zheng Zhang Breakdown of academic impact, for papers by Yuichi Nakamura
Rankless by CCL
2026