Marco Zappatore

932 total citations
74 papers, 524 citations indexed

About

Marco Zappatore is a scholar working on Computer Science Applications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Marco Zappatore has authored 74 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Science Applications, 14 papers in Information Systems and 14 papers in Artificial Intelligence. Recurrent topics in Marco Zappatore's work include Mobile Crowdsensing and Crowdsourcing (18 papers), Semantic Web and Ontologies (8 papers) and IoT and Edge/Fog Computing (7 papers). Marco Zappatore is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (18 papers), Semantic Web and Ontologies (8 papers) and IoT and Edge/Fog Computing (7 papers). Marco Zappatore collaborates with scholars based in Italy, United States and China. Marco Zappatore's co-authors include Antonella Longo, Mario A. Bochicchio, Luciano Tarricone, Alessandra Esposito, Shamkant B. Navathe, Luca Catarinucci, Riccardo Colella, Shaohua Wan, Hu Lu and A. De Matteis and has published in prestigious journals such as IEEE Access, Future Generation Computer Systems and Journal of Medical Systems.

In The Last Decade

Marco Zappatore

68 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Zappatore Italy	14	125	104	99	96	88	74	524
Julien Eberle Switzerland	9	98 0.8×	94 0.9×	194 2.0×	65 0.7×	134 1.5×	17	598
Ahmed Ben Said Qatar	13	33 0.3×	87 0.8×	67 0.7×	103 1.1×	75 0.9×	32	486
Jianfeng Lu China	14	108 0.9×	221 2.1×	148 1.5×	80 0.8×	114 1.3×	93	631
Félix J. Villanueva Spain	13	26 0.2×	42 0.4×	189 1.9×	42 0.4×	107 1.2×	70	475
Delphine Christin Germany	13	444 3.6×	401 3.9×	193 1.9×	83 0.9×	222 2.5×	31	860
Quratulain Arshad Saudi Arabia	11	189 1.5×	147 1.4×	330 3.3×	147 1.5×	190 2.2×	17	844
Andrea Capponi Luxembourg	11	497 4.0×	206 2.0×	140 1.4×	68 0.7×	169 1.9×	19	701
Joan Navarro Spain	11	33 0.3×	55 0.5×	108 1.1×	50 0.5×	72 0.8×	52	400
Marco Jahn Germany	10	23 0.2×	56 0.5×	285 2.9×	118 1.2×	269 3.1×	17	606

Countries citing papers authored by Marco Zappatore

Since Specialization

Citations

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

Fields of papers citing papers by Marco Zappatore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Zappatore

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

Camera, Francesca, et al.. (2025). Cardiac Pulsed-Field Ablation: Deep Learning Solutions for Multi-Parameter Predictions. IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology. 9(4). 445–454.

Longo, Antonella, et al.. (2025). xFAIR: A Multi-Layer Approach to Data FAIRness Assessment and Data FAIRification. Journal of Data and Information Quality. 17(4). 1–29.

Ascari, E, et al.. (2024). OUTFIT: Crowdsourced Data Feeding Noise Maps in Digital Twins. CINECA IRIS Institutial research information system (University of Pisa). 39–46. 3 indexed citations

Zappatore, Marco, et al.. (2024). Digital Twins of smart energy systems: a systematic literature review on enablers, design, management and computational challenges. Energy Informatics. 7(1). 19 indexed citations

Merla, Caterina, et al.. (2023). Optimization of Ablation Area and Electrode Positioning in High Frequency Irreversible Electroporation via Machine Learning. 1–3. 1 indexed citations

Zappatore, Marco, et al.. (2023). Optimizing the impact of data augmentation for low-resource grammatical error correction. Journal of King Saud University - Computer and Information Sciences. 35(6). 101572–101572. 16 indexed citations

Benedictis, Alessandra De, et al.. (2023). Digital Twin Space: The Integration of Digital Twins and Data Spaces. 4017–4025. 7 indexed citations

Zappatore, Marco. (2023). Incorporating Collaborative and Active Learning Strategies in the Design and Deployment of a Master Course on Computer-Assisted Scientific Translation. Technology Knowledge and Learning. 29(1). 253–308. 5 indexed citations

Tarricone, Luciano, et al.. (2022). Machine Learning for Bioelectromagnetics and Biomedical Engineering: Some Sample Applications. 13–15. 3 indexed citations

10.

Merla, Caterina, et al.. (2022). Machine-Learning for Optimization of Electrodes and Waveforms for Electroporation. 31–34. 1 indexed citations

11.

Zappatore, Marco. (2022). C-STARS: a collaborative online learning environment for situated translation teaching in higher education. International Journal of Information and Learning Technology. 39(4). 386–404. 3 indexed citations

12.

Bochicchio, Mario A., et al.. (2018). Multidimensional Mining over Big Healthcare Data: A Big Data Analytics Framework.. SEBD.

13.

Bochicchio, Mario A., et al.. (2017). Browser-enabled distributed crowdsensing. 14. 241–246. 1 indexed citations

14.

Zappatore, Marco, Antonella Longo, & Mario A. Bochicchio. (2017). Empowering active citizenship via BYOD-mediated learning activities: An experience in acoustics. 8. 1174–1182. 3 indexed citations

15.

Longo, Antonella, Marco Zappatore, Mario A. Bochicchio, & Shamkant B. Navathe. (2016). Modeling and Evaluating Relationships and Service Contracts in Public Transportation: A Pilot Project in Italy. 47. 507–514. 1 indexed citations

16.

Bochicchio, Mario A., et al.. (2015). Modeling Service Dynamics: a Case Study.. View. 327–334.

17.

Longo, Antonella, Marco Zappatore, & Mario A. Bochicchio. (2015). Collaborative learning from Mobile Crowd Sensing: A case study in electromagnetic monitoring. 742–750. 13 indexed citations

18.

Esposito, Alessandra, et al.. (2014). Integrating social web and e-learning to enhance cooperation in the building sector. 324–329. 2 indexed citations

19.

Catarinucci, Luca, Riccardo Colella, Alessandra Esposito, Luciano Tarricone, & Marco Zappatore. (2011). RFID Sensor-Tags Feeding a Context-Aware Rule-Based Healthcare Monitoring System. Journal of Medical Systems. 36(6). 3435–3449. 29 indexed citations

20.

Catarinucci, Luca, Riccardo Colella, Alessandra Esposito, Luciano Tarricone, & Marco Zappatore. (2009). A context-aware smart infrastructure based on RFID sensor-tags and its application to the health-care domain. 1. 1–8. 7 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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