Giovanni Acampora
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Electrical and Electronic Engineering
- Co-authors
- Vincenzo LoiaAutilia VitielloAthanasios V. VasilakosDiane J. CookParisa RashidiMatteo GaetaChang-Shing LeeGeorgina Cosma
- Topics
- Quantum Computing Algorithms and Architecture (35 papers)Quantum Information and Cryptography (28 papers)Context-Aware Activity Recognition Systems (24 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEProceedings of the IEEE
- Partner nations
- ItalyUnited KingdomSpain
In The Last Decade
Giovanni Acampora
166 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 557
- Computer Networks and Communications 475
- Information Systems 448
- Electrical and Electronic Engineering 257
Countries citing papers authored by Giovanni Acampora
This map shows the geographic impact of Giovanni Acampora'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 Giovanni Acampora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Acampora more than expected).
Fields of papers citing papers by Giovanni Acampora
This network shows the impact of papers produced by Giovanni Acampora. 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 Giovanni Acampora. The network helps show where Giovanni Acampora may publish in the future.
Co-authorship network of co-authors of Giovanni Acampora
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Acampora. A scholar is included among the top collaborators of Giovanni Acampora 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 Giovanni Acampora. Giovanni Acampora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 28 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 33 | |
| 14 | 44 | |
| 15 | 10 | |
| 16 | 7 | |
| 17 | 12 | |
| 18 | 4 | |
| 19 | A new coordination model for enhancing avatar-based interactive system | 1 |
| 20 | Augmented tour of archaeological site by means of adaptive virtual guide | 1 |
About Giovanni Acampora
Giovanni Acampora is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 177 papers that have together received 2.5k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (35 papers), Quantum Information and Cryptography (28 papers) and Context-Aware Activity Recognition Systems (24 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (557 citations) and Computer Networks and Communications (475 citations). Giovanni Acampora has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Vincenzo Loia, Autilia Vitiello, Athanasios V. Vasilakos, Diane J. Cook, Parisa Rashidi, Matteo Gaeta, Chang-Shing Lee, Georgina Cosma, Saverio Salerno and José Manuel Cadenas Figueredo. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Proceedings of the IEEE.
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.