Antonio M. Rinaldi

1.1k total citations
70 papers, 575 citations indexed

About

Antonio M. Rinaldi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Antonio M. Rinaldi has authored 70 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 38 papers in Artificial Intelligence and 10 papers in Information Systems. Recurrent topics in Antonio M. Rinaldi's work include Semantic Web and Ontologies (29 papers), Image Retrieval and Classification Techniques (22 papers) and Video Analysis and Summarization (20 papers). Antonio M. Rinaldi is often cited by papers focused on Semantic Web and Ontologies (29 papers), Image Retrieval and Classification Techniques (22 papers) and Video Analysis and Summarization (20 papers). Antonio M. Rinaldi collaborates with scholars based in Italy, France and United States. Antonio M. Rinaldi's co-authors include Cristiano Russo, Antonio Picariello, Kurosh Madani, Vincenzo Moscato, Massimiliano Albanese, Valerio Cutini, Paolo Maresca, Antonio Scala, Nicola Pasquino and Claudio De Capua and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Sustainability.

In The Last Decade

Antonio M. Rinaldi

64 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio M. Rinaldi Italy 15 304 275 112 65 54 70 575
Fuad Rahman United Kingdom 14 355 1.2× 362 1.3× 101 0.9× 65 1.0× 44 0.8× 85 735
Jin Zheng China 14 232 0.8× 220 0.8× 108 1.0× 24 0.4× 37 0.7× 41 596
Hannah Bast Germany 14 411 1.4× 105 0.4× 112 1.0× 87 1.3× 76 1.4× 41 653
Laura Po Italy 14 234 0.8× 80 0.3× 99 0.9× 59 0.9× 80 1.5× 54 463
Weilin Zhao China 2 481 1.6× 113 0.4× 91 0.8× 32 0.5× 42 0.8× 4 717
Theodora Tsikrika Greece 14 218 0.7× 226 0.8× 211 1.9× 114 1.8× 81 1.5× 82 582
Xiaoli Wang China 14 236 0.8× 67 0.2× 123 1.1× 61 0.9× 140 2.6× 78 583
Norita Md Norwawi Malaysia 14 164 0.5× 76 0.3× 195 1.7× 102 1.6× 86 1.6× 86 551
Ka-Ho Chow United States 12 502 1.7× 115 0.4× 64 0.6× 41 0.6× 65 1.2× 39 699

Countries citing papers authored by Antonio M. Rinaldi

Since Specialization
Citations

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

Fields of papers citing papers by Antonio M. Rinaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio M. Rinaldi

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio M. Rinaldi. A scholar is included among the top collaborators of Antonio M. Rinaldi 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 M. Rinaldi. Antonio M. Rinaldi 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.
Amalfitano, Domenico, et al.. (2025). Data centric Artificial Intelligence for agrifood domain: A systematic mapping study. Computers and Electronics in Agriculture. 239. 110847–110847.
2.
Amalfitano, Domenico, et al.. (2025). A systematic mapping study of semantic technologies in multi-omics data integration. Journal of Biomedical Informatics. 165. 104809–104809. 5 indexed citations
3.
Russo, Cristiano, et al.. (2025). NuLite - lightweight and fast model for nuclei instance segmentation and classification. Biomedical Signal Processing and Control. 114. 109333–109333.
4.
Abbate, Vincenzo, Luigi Angelo Vaira, Stefania Troise, et al.. (2025). Text-Guided Inpainting for Aesthetic Prediction in Orthofacial Surgery: A Patient-Centered AI Approach. Medicina. 61(12). 2075–2075. 1 indexed citations
5.
Rinaldi, Antonio M., et al.. (2024). A Retrieval-augmented Generation application for Question-Answering in Nutrigenetics Domain. Procedia Computer Science. 246. 586–595. 4 indexed citations
6.
Rinaldi, Antonio M., et al.. (2023). A storytelling framework based on multimedia knowledge graph using linked open data and deep neural networks. Multimedia Tools and Applications. 82(20). 31625–31639. 1 indexed citations
7.
Rinaldi, Antonio M., et al.. (2023). A rule-based obfuscating focused crawler in the audio retrieval domain. Multimedia Tools and Applications. 83(9). 25231–25260. 2 indexed citations
8.
Madani, Kurosh, et al.. (2023). A combined approach for improving humanoid robots autonomous cognitive capabilities. Knowledge and Information Systems. 65(8). 3197–3221. 1 indexed citations
9.
Merolla, Francesco, et al.. (2023). Histopathological Image Deep Feature Representation for CBIR in Smart PACS. Journal of Digital Imaging. 36(5). 2194–2209. 7 indexed citations
10.
Rinaldi, Antonio M., et al.. (2023). Automatic image captioning combining natural language processing and deep neural networks. Results in Engineering. 18. 101107–101107. 21 indexed citations
11.
12.
Rinaldi, Antonio M., Cristiano Russo, & Kurosh Madani. (2020). A Semantic Matching Strategy for Very Large Knowledge Bases Integration. International Journal of Information Technology and Web Engineering. 15(2). 1–29. 8 indexed citations
13.
Rinaldi, Antonio M., et al.. (2019). Implementation of Wireless Sensor Network (WSN) to calculate air pollution index of Samarinda City. Journal of Physics Conference Series. 1277(1). 12030–12030. 2 indexed citations
14.
Rinaldi, Antonio M., et al.. (2018). A configurational approach based on geographic information systems to support decision-making process in real estate domain. Soft Computing. 23(9). 2853–2862. 4 indexed citations
15.
Rinaldi, Antonio M. & Cristiano Russo. (2018). User-centered Information Retrieval using Semantic Multimedia Big Data. 14 indexed citations
16.
Rinaldi, Antonio M., et al.. (2016). Improving the Visualization of WordNet Large Lexical Database through Semantic Tag Clouds. 64. 34–41. 12 indexed citations
17.
Rinaldi, Antonio M.. (2009). A GIS-based system for electromagnetic risk management in urban areas. Journal of Location Based Services. 3(1). 3–23. 6 indexed citations
18.
Rinaldi, Antonio M.. (2008). A content-based approach for document representation and retrieval. 106–109. 16 indexed citations
19.
Albanese, Massimiliano, Paolo Maresca, Antonio Picariello, & Antonio M. Rinaldi. (2005). Towards a Multimedia Ontology System: an Approach Using TAO_XML.. 52–57. 7 indexed citations
20.
Albanese, Massimiliano, Antonio Picariello, & Antonio M. Rinaldi. (2004). A Semantic Search Engine for WEB Information Retrieval: an Approach Based on Dynamic Semantic Networks. International ACM SIGIR Conference on Research and Development in Information Retrieval. 1–8. 3 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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