Antonio Coronato

2.8k total citations · 1 hit paper
95 papers, 1.4k citations indexed

About

Antonio Coronato is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Antonio Coronato has authored 95 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Networks and Communications, 32 papers in Computer Vision and Pattern Recognition and 31 papers in Artificial Intelligence. Recurrent topics in Antonio Coronato's work include Context-Aware Activity Recognition Systems (29 papers), IoT and Edge/Fog Computing (11 papers) and Distributed systems and fault tolerance (11 papers). Antonio Coronato is often cited by papers focused on Context-Aware Activity Recognition Systems (29 papers), IoT and Edge/Fog Computing (11 papers) and Distributed systems and fault tolerance (11 papers). Antonio Coronato collaborates with scholars based in Italy, India and United States. Antonio Coronato's co-authors include Giuseppe De Pietro, Muddasar Naeem, Giovanni Paragliola, Syed Tahir Hussain Rizvi, Massimo Esposito, A. Testa, Alfredo Cuzzocrea, Marcello Cinque, Mohamed Bakhouya and Juan Carlos Augusto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Antonio Coronato

89 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Impact of AI-Powered Solutions in Rehabilitation Process: Recent Improvements and Future Trends

2024 42 citations Muddasar Naeem, Fabrizio Stasolla et al. International Journal of General Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Antonio Coronato Italy	22	440	329	292	162	130	95	1.4k
Salem Alelyani Saudi Arabia	18	743 1.7×	155 0.5×	272 0.9×	248 1.5×	123 0.9×	35	1.7k
Luca Romeo Italy	24	380 0.9×	129 0.4×	366 1.3×	111 0.7×	120 0.9×	69	1.7k
Kwok Tai Chui Hong Kong	22	488 1.1×	374 1.1×	295 1.0×	215 1.3×	306 2.4×	170	1.9k
Jun Qi China	17	611 1.4×	433 1.3×	501 1.7×	238 1.5×	176 1.4×	71	1.9k
Dharmendra Singh Rajput India	17	776 1.8×	298 0.9×	290 1.0×	246 1.5×	200 1.5×	95	2.1k
Fakhri Karray Canada	23	537 1.2×	300 0.9×	321 1.1×	154 1.0×	346 2.7×	112	1.9k
Vicente García‐Díaz Spain	24	580 1.3×	398 1.2×	257 0.9×	488 3.0×	218 1.7×	120	2.0k
Oana Geman Romania	20	360 0.8×	412 1.3×	289 1.0×	223 1.4×	217 1.7×	102	1.8k
Wathiq Mansoor United Arab Emirates	22	441 1.0×	296 0.9×	266 0.9×	251 1.5×	262 2.0×	177	1.6k
Hela Elmannai Saudi Arabia	22	546 1.2×	383 1.2×	266 0.9×	282 1.7×	171 1.3×	104	1.6k

Countries citing papers authored by Antonio Coronato

Since Specialization

Citations

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

Fields of papers citing papers by Antonio Coronato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Coronato

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

Fiorino, Mario Di, Muddasar Naeem, Mario Ciampi, & Antonio Coronato. (2024). Defining a Metric-Driven Approach for Learning Hazardous Situations. SHILAP Revista de lepidopterología. 12(7). 103–103. 2 indexed citations

Rizvi, Syed Tahir Hussain, et al.. (2024). Enhancing Diagnostic Accuracy for Skin Cancer and COVID-19 Detection: A Comparative Study Using a Stacked Ensemble Method. SHILAP Revista de lepidopterología. 12(9). 142–142. 2 indexed citations

Ullah, Zaib, et al.. (2024). A Hybrid Multi-Agent Reinforcement Learning Approach for Spectrum Sharing in Vehicular Networks. Future Internet. 16(5). 152–152. 2 indexed citations

Naeem, Muddasar, et al.. (2024). Advancing Patient Care with an Intelligent and Personalized Medication Engagement System. Information. 15(10). 609–609. 3 indexed citations

Naeem, Muddasar, et al.. (2024). Impact of AI-Powered Solutions in Rehabilitation Process: Recent Improvements and Future Trends. International Journal of General Medicine. Volume 17. 943–969. 42 indexed citations breakdown →

Naeem, Muddasar, Antonio Coronato, Zaib Ullah, Sajid Bashir, & Giovanni Paragliola. (2022). Optimal User Scheduling in Multi Antenna System Using Multi Agent Reinforcement Learning. Sensors. 22(21). 8278–8278. 8 indexed citations

Coronato, Antonio, et al.. (2022). Learning and Assessing Optimal Dynamic Treatment Regimes Through Cooperative Imitation Learning. IEEE Access. 10. 78148–78158. 13 indexed citations

Ciampi, Mario, Antonio Coronato, Muddasar Naeem, & Stefano Silvestri. (2022). An intelligent environment for preventing medication errors in home treatment. Expert Systems with Applications. 193. 116434–116434. 14 indexed citations

Naeem, Muddasar & Antonio Coronato. (2022). An AI-Empowered Home-Infrastructure to Minimize Medication Errors. Journal of Sensor and Actuator Networks. 11(1). 13–13. 11 indexed citations

10.

Pietro, Giuseppe De, et al.. (2022). Projection based inverse reinforcement learning for the analysis of dynamic treatment regimes. Applied Intelligence. 53(11). 14072–14084. 3 indexed citations

11.

Paragliola, Giovanni & Antonio Coronato. (2021). Definition of a novel federated learning approach to reduce communication costs. Expert Systems with Applications. 189. 116109–116109. 35 indexed citations

12.

Naeem, Muddasar, Giuseppe De Pietro, & Antonio Coronato. (2021). Application of Reinforcement Learning and Deep Learning in Multiple-Input and Multiple-Output (MIMO) Systems. Sensors. 22(1). 309–309. 27 indexed citations

13.

Naeem, Muddasar, Syed Tahir Hussain Rizvi, & Antonio Coronato. (2020). A Gentle Introduction to Reinforcement Learning and its Application in Different Fields. IEEE Access. 8. 209320–209344. 131 indexed citations

14.

Coronato, Antonio. (2018). Engineering high quality medical software. CERN Document Server (European Organization for Nuclear Research). 1 indexed citations

15.

Paragliola, Giovanni & Antonio Coronato. (2018). A Reinforcement-Learning-Based Approach for the Planning of Safety Strategies in AAL Applications.. 498–505. 1 indexed citations

16.

Testa, A., Marcello Cinque, Antonio Coronato, & Juan Carlos Augusto. (2016). A Formal Methodology to Design and Deploy Dependable Wireless Sensor Networks. Sensors. 17(1). 19–19. 7 indexed citations

17.

Testa, A. & Antonio Coronato. (2016). A Review of the Methods for the Dependability Assessment of WSNs: Towards a New Approach.. Ad Hoc & Sensor Wireless Networks. 33. 223–252. 1 indexed citations

18.

Coronato, Antonio & A. Testa. (2013). Approaches of Wireless Sensor Network dependability assessment. Federated Conference on Computer Science and Information Systems. 881–888. 4 indexed citations

19.

Coronato, Antonio & Giuseppe De Pietro. (2007). A web services based architecture for supporting mobile users in large enterprises. Journal of Web Engineering. 6(2). 131–142. 1 indexed citations

20.

Coronato, Antonio, Giuseppe De Pietro, & Massimo Esposito. (2006). A Semantic Context Service for Smart Offices. 2. 391–399. 14 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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