Antonio M. Rinaldi
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Signal Processing top 10%
- Computer Networks and Communications
- Co-authors
- Cristiano RussoAntonio PicarielloKurosh MadaniVincenzo MoscatoMassimiliano AlbaneseValerio CutiniAntonio ScalaClaudio De Capua
- Topics
- Semantic Web and Ontologies (29 papers)Image Retrieval and Classification Techniques (22 papers)Video Analysis and Summarization (20 papers)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Antonio M. Rinaldi
64 papers receiving 515 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 304
- Computer Vision and Pattern Recognition 275
- Information Systems 112
- Signal Processing 65
- Computer Networks and Communications 54
Countries citing papers authored by Antonio M. Rinaldi
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 21 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 14 | |
| 16 | 13 | |
| 17 | 16 | |
| 18 | Towards a Multimedia Ontology System: an Approach Using TAO_XML. | 7 |
| 19 | A Semantic Search Engine for WEB Information Retrieval: an Approach Based on Dynamic Semantic Networks | 3 |
| 20 | 8 |
About Antonio M. Rinaldi
Antonio M. Rinaldi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 70 papers that have together received 575 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (29 papers), Image Retrieval and Classification Techniques (22 papers) and Video Analysis and Summarization (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (275 citations), Artificial Intelligence (304 citations) and Signal Processing (65 citations). Antonio M. Rinaldi has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Cristiano Russo, Antonio Picariello, Kurosh Madani, Vincenzo Moscato, Massimiliano Albanese, Valerio Cutini, Antonio Scala, Claudio De Capua, Nicola Pasquino and Paolo Maresca. Their work appears in journals such as Expert Systems with Applications, Information Sciences and Sustainability.
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.