Giovanni Acampora

3.9k total citations · 1 hit paper
177 papers, 2.5k citations indexed

About

Giovanni Acampora is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Giovanni Acampora has authored 177 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Artificial Intelligence, 36 papers in Computer Vision and Pattern Recognition and 29 papers in Information Systems. Recurrent topics in Giovanni Acampora's work include Quantum Computing Algorithms and Architecture (35 papers), Quantum Information and Cryptography (28 papers) and Context-Aware Activity Recognition Systems (24 papers). Giovanni Acampora is often cited by papers focused on Quantum Computing Algorithms and Architecture (35 papers), Quantum Information and Cryptography (28 papers) and Context-Aware Activity Recognition Systems (24 papers). Giovanni Acampora collaborates with scholars based in Italy, United Kingdom and Spain. Giovanni Acampora's co-authors include Vincenzo Loia, Autilia Vitiello, Athanasios V. Vasilakos, Parisa Rashidi, Diane J. Cook, Matteo Gaeta, Chang-Shing Lee, Georgina Cosma, Saverio Salerno and José Manuel Cadenas Figueredo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Proceedings of the IEEE.

In The Last Decade

Giovanni Acampora

166 papers receiving 2.4k citations

Hit Papers

A Survey on Ambient Intel... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giovanni Acampora Italy 27 1.3k 557 475 448 257 177 2.5k
Kalyan Veeramachaneni United States 21 1.3k 1.0× 365 0.7× 471 1.0× 363 0.8× 308 1.2× 82 2.5k
José M. Molina Spain 27 1.1k 0.9× 590 1.1× 372 0.8× 249 0.6× 190 0.7× 288 2.7k
Ala’ M. Al-Zoubi Jordan 23 2.0k 1.5× 417 0.7× 505 1.1× 459 1.0× 283 1.1× 51 3.0k
Kamal Z. Zamli Malaysia 30 773 0.6× 325 0.6× 468 1.0× 671 1.5× 208 0.8× 171 2.6k
Piyush Kumar Shukla India 30 842 0.6× 515 0.9× 587 1.2× 369 0.8× 341 1.3× 181 2.8k
Ahamad Tajudin Khader Malaysia 25 1.7k 1.3× 484 0.9× 312 0.7× 334 0.7× 345 1.3× 66 3.0k
Siti Mariyam Shamsuddin Malaysia 23 1.2k 0.9× 365 0.7× 284 0.6× 258 0.6× 352 1.4× 133 2.4k
Ah‐Hwee Tan Singapore 30 2.3k 1.7× 1.1k 1.9× 273 0.6× 548 1.2× 279 1.1× 219 3.9k
Hari Mohan Pandey United Kingdom 31 923 0.7× 909 1.6× 583 1.2× 230 0.5× 484 1.9× 113 3.1k
Aida Mustapha Malaysia 28 1.2k 0.9× 471 0.8× 664 1.4× 699 1.6× 306 1.2× 303 3.2k

Countries citing papers authored by Giovanni Acampora

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Acampora, Giovanni, et al.. (2025). Generalizing Reinforcement Learning-Based Quantum Circuit Synthesis across Multiple Topologies. 1–7. 1 indexed citations
2.
Lee, Chang-Shing, Mei‐Hui Wang, Naoyuki Kubota, et al.. (2024). Quantum Computational Intelligence with Generative AI Image for Human-Machine Interaction. 1–8. 3 indexed citations
3.
Esposito, Martina, Domenico Montemurro, Giovanni Piero Pepe, et al.. (2024). Mitigating Errors on Superconducting Quantum Processors Through Fuzzy Clustering. Advanced Quantum Technologies. 7(7). 5 indexed citations
4.
Acampora, Giovanni, et al.. (2024). Quantum Fuzzy Inference Engine for Particle Accelerator Control. IEEE Transactions on Quantum Engineering. 5. 1–13. 4 indexed citations
5.
Acampora, Giovanni, et al.. (2024). Using Quantum Fuzzy Inference Engines in Smart Cities. 1–8. 1 indexed citations
6.
Acampora, Giovanni, et al.. (2023). Distributing Fuzzy Inference Engines on Quantum Computers. 1–6. 3 indexed citations
7.
Acampora, Giovanni & Autilia Vitiello. (2023). An IEEE Std 1855 Driver for Synthetizing Quantum Fuzzy Inference Engines. 1–6. 1 indexed citations
8.
Acampora, Giovanni, et al.. (2023). Genetic algorithms as classical optimizer for the Quantum Approximate Optimization Algorithm. Applied Soft Computing. 142. 110296–110296. 53 indexed citations
9.
Acampora, Giovanni, Jesús Alcalá‐Fdez, Roberta Siciliano, J. M. Soto-Hidalgo, & Autilia Vitiello. (2019). VisualJFML: A Visual Environment for Designing Fuzzy Systems according to IEEE Std 1855-2016. 1–6. 3 indexed citations
10.
Acampora, Giovanni, et al.. (2018). Quantum Implementation of Fuzzy Systems through Grover’s Algorithm. 1–8. 7 indexed citations
11.
Acampora, Giovanni, Francisco Herrera, Genoveffa Tortora, & Autilia Vitiello. (2018). A multi-objective evolutionary approach to training set selection for support vector machine. Knowledge-Based Systems. 147. 94–108. 33 indexed citations
12.
Osman, Taha, et al.. (2018). Smart Information Retrieval: Domain Knowledge Centric Optimization Approach. IEEE Access. 7. 4167–4183. 9 indexed citations
13.
Acampora, Giovanni, Diane J. Cook, Parisa Rashidi, & Athanasios V. Vasilakos. (2015). Data Analytics for Pervasive Health. 533–576. 4 indexed citations
14.
Osman, Taha, et al.. (2015). Domain-Specific Relation Extraction - Using Distant Supervision Machine Learning. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 92–103. 3 indexed citations
15.
Acampora, Giovanni, Witold Pedrycz, & Athanasios V. Vasilakos. (2014). Efficient modeling of MIMO systems through Timed Automata based Neuro-Fuzzy Inference Engine. International Journal of Approximate Reasoning. 55(6). 1336–1356. 7 indexed citations
16.
Acampora, Giovanni & Georgina Cosma. (2014). A hybrid computational intelligence approach for efficiently evaluating customer sentiments in E-commerce reviews. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 73–80. 5 indexed citations
17.
Acampora, Giovanni, Vincenzo Loia, & Autilia Vitiello. (2011). A cognitive multi-agent system for emotion-aware ambient intelligence. TU/e Research Portal. 1–8. 4 indexed citations
18.
Acampora, Giovanni, Vincenzo Loia, & Autilia Vitiello. (2011). Exploiting Timed Automata based Fuzzy Controllers for voltage regulation in Smart Grids. TU/e Research Portal. 8. 223–230. 12 indexed citations
19.
Acampora, Giovanni, et al.. (2008). A new coordination model for enhancing avatar-based interactive system. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 1 indexed citations
20.
Abate, Andrea F., Giovanni Acampora, & Stefano Ricciardi. (2008). Augmented tour of archaeological site by means of adaptive virtual guide. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 1 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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