Antonio Celesti

4.7k total citations · 1 hit paper
184 papers, 3.0k citations indexed

About

Antonio Celesti is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Antonio Celesti has authored 184 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Computer Networks and Communications, 85 papers in Information Systems and 30 papers in Computer Vision and Pattern Recognition. Recurrent topics in Antonio Celesti's work include IoT and Edge/Fog Computing (70 papers), Cloud Computing and Resource Management (58 papers) and Cloud Data Security Solutions (33 papers). Antonio Celesti is often cited by papers focused on IoT and Edge/Fog Computing (70 papers), Cloud Computing and Resource Management (58 papers) and Cloud Data Security Solutions (33 papers). Antonio Celesti collaborates with scholars based in Italy, China and Brazil. Antonio Celesti's co-authors include Massimo Villari, Maria Fazio, Antonio Puliafito, Antonino Galletta, Jiafu Wan, Francesco Tusa, Lorenzo Carnevale, Davide Mulfari, Di Li and Qin Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Antonio Celesti

166 papers receiving 2.9k citations

Hit Papers

Edge Computing in IoT-Based Manufacturing 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Celesti Italy 26 1.7k 1.5k 511 352 321 184 3.0k
Massimo Villari Italy 32 2.7k 1.6× 2.2k 1.5× 656 1.3× 538 1.5× 529 1.6× 283 4.3k
Maria Fazio Italy 27 1.6k 1.0× 1.1k 0.8× 355 0.7× 382 1.1× 408 1.3× 212 3.0k
Alireza Souri Iran 35 2.1k 1.2× 1.5k 1.1× 784 1.5× 350 1.0× 522 1.6× 115 3.6k
Christos Stergiou Greece 18 1.2k 0.7× 849 0.6× 581 1.1× 291 0.8× 406 1.3× 37 2.3k
Claudio Savaglio Italy 27 1.6k 1.0× 688 0.5× 513 1.0× 459 1.3× 528 1.6× 66 2.5k
Sohail Jabbar Pakistan 30 1.5k 0.9× 1.0k 0.7× 726 1.4× 559 1.6× 613 1.9× 128 3.2k
Jules White United States 26 1.0k 0.6× 1.5k 1.0× 1.0k 2.0× 281 0.8× 218 0.7× 127 3.0k
Ciprian Dobre Romania 25 1.6k 0.9× 763 0.5× 334 0.7× 402 1.1× 417 1.3× 254 2.7k
Boyi Xu China 14 873 0.5× 695 0.5× 318 0.6× 238 0.7× 218 0.7× 67 1.7k
Muhammad Bilal South Korea 33 1.7k 1.0× 866 0.6× 714 1.4× 403 1.1× 840 2.6× 197 3.3k

Countries citing papers authored by Antonio Celesti

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Celesti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Celesti

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Celesti. A scholar is included among the top collaborators of Antonio Celesti 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 Antonio Celesti. Antonio Celesti 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.
Celesti, Antonio, et al.. (2025). Consensus-based distributed orchestration framework for microservices in edge computing clusters. Future Generation Computer Systems. 176. 108221–108221.
2.
Bonanno, Mirjam, Paolo De Pasquale, Antonio Celesti, et al.. (2025). Use of Wearable Sensors to Assess Fall Risk in Neurological Disorders: Systematic Review. JMIR mhealth and uhealth. 13. e67265–e67265. 3 indexed citations
3.
Bonanno, Mirjam, Piergiuseppe Liuzzi, Antonio Celesti, et al.. (2025). Can artificial intelligence improve the diagnosis and prognosis of disorders of consciousness? A scoping review. Frontiers in Artificial Intelligence. 8. 1608778–1608778.
4.
Celesti, Antonio, et al.. (2025). An Approach to Enable Human–3D Object Interaction Through Voice Commands in an Immersive Virtual Environment. Big Data and Cognitive Computing. 9(7). 188–188.
7.
Celesti, Antonio, Maria Luisa Dell’Acqua, Maria Fazio, et al.. (2024). Leveraging Audio Biomarkers for Enriching the Tele-Monitoring of Patients. Use Siena air (University of Siena). 1–6.
9.
Latella, Dèsiréè, et al.. (2024). Towards Transforming Neurorehabilitation: The Impact of Artificial Intelligence on Diagnosis and Treatment of Neurological Disorders. Biomedicines. 12(10). 2415–2415. 24 indexed citations
10.
Fazio, Maria, et al.. (2023). Establishment of a trusted environment for IoT service provisioning based on X3DH-Based brokering and Federated Blockchain. Internet of Things. 21. 100686–100686. 8 indexed citations
11.
Celesti, Antonio, et al.. (2023). Secure-by-design serverless workflows on the Edge–Cloud Continuum through the Osmotic Computing paradigm. Internet of Things. 22. 100737–100737. 10 indexed citations
12.
Galletta, Antonino, Javid Taheri, Antonio Celesti, Maria Fazio, & Massimo Villari. (2023). Investigating the Applicability of Nested Secret Share for Drone Fleet Photo Storage. IEEE Transactions on Mobile Computing. 23(4). 2671–2683. 9 indexed citations
13.
Calabrò, Rocco Salvatore, Mirjam Bonanno, Luisa Cacciante, et al.. (2023). Benefits of Telerehabilitation for Patients With Severe Acquired Brain Injury: Promising Results From a Multicenter Randomized Controlled Trial Using Nonimmersive Virtual Reality. Journal of Medical Internet Research. 25. e45458–e45458. 24 indexed citations
14.
Fazio, Maria, et al.. (2023). Large-Scale Agent-Based Transport Model for the Metropolitan City of Messina. 2022. 1–6. 1 indexed citations
15.
Mulfari, Davide, et al.. (2022). Deep learning applications in telerehabilitation speech therapy scenarios. Computers in Biology and Medicine. 148. 105864–105864. 22 indexed citations
16.
Lay-Ekuakille, A., et al.. (2021). Infrared Monitoring of Oxygenation Process Generated by Robotic Verticalization in Bedridden People. IEEE Sensors Journal. 21(13). 14426–14433. 8 indexed citations
17.
Carnevale, Lorenzo, Rocco Salvatore Calabrò, Antonio Celesti, et al.. (2018). Toward Improving Robotic-Assisted Gait Training: Can Big Data Analysis Help Us?. IEEE Internet of Things Journal. 6(2). 1419–1426. 12 indexed citations
18.
Celesti, Antonio, Antonino Galletta, Lorenzo Carnevale, et al.. (2017). An IoT Cloud System for Traffic Monitoring and Vehicular Accidents Prevention Based on Mobile Sensor Data Processing. IEEE Sensors Journal. 18(12). 4795–4802. 115 indexed citations
19.
Celesti, Antonio, et al.. (2017). Are Next-Generation Sequencing Tools Ready for the Cloud?. Trends in biotechnology. 35(6). 486–489. 15 indexed citations
20.
Celesti, Antonio, Francesco Tusa, Massimo Villari, & Antonio Puliafito. (2011). Evaluating a Distributed Identity Provider Trusted Network with Delegated Authentications for Cloud Federation. 79–85. 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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