Vitoantonio Bevilacqua

4.9k total citations · 1 hit paper
158 papers, 2.5k citations indexed

About

Vitoantonio Bevilacqua is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Vitoantonio Bevilacqua has authored 158 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 36 papers in Artificial Intelligence and 30 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vitoantonio Bevilacqua's work include AI in cancer detection (23 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Muscle activation and electromyography studies (13 papers). Vitoantonio Bevilacqua is often cited by papers focused on AI in cancer detection (23 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Muscle activation and electromyography studies (13 papers). Vitoantonio Bevilacqua collaborates with scholars based in Italy, China and Australia. Vitoantonio Bevilacqua's co-authors include Antonio Brunetti, Domenico Buongiorno, Gianpaolo Francesco Trotta, Giovanni Dimauro, Giacomo Donato Cascarano, Giuseppe Mastronardi, Nicola Altini, Antonio Emmanuele Uva, Michele Fiorentino and Vito Modesto Manghisi and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Vitoantonio Bevilacqua

141 papers receiving 2.5k citations

Hit Papers

Computer vision and deep ... 2018 2026 2020 2023 2018 100 200 300
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.

  1. Computer vision and deep learning techniques for pedestrian detection and tracking: A survey
    2018 365 citations Antonio Brunetti, Domenico Buongiorno et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vitoantonio Bevilacqua Italy 29 736 610 472 426 246 158 2.5k
U. Raghavendra India 31 854 1.2× 586 1.0× 366 0.8× 1.2k 2.8× 500 2.0× 84 3.1k
Pedro P. Rebouças Filho Brazil 34 937 1.3× 1.0k 1.7× 399 0.8× 992 2.3× 250 1.0× 152 3.7k
Antonio Brunetti Italy 25 480 0.7× 382 0.6× 243 0.5× 335 0.8× 109 0.4× 80 1.6k
Christian Desrosiers Canada 25 991 1.3× 748 1.2× 349 0.7× 1.1k 2.5× 250 1.0× 144 2.7k
Dimitris Koutsouris Greece 27 736 1.0× 361 0.6× 505 1.1× 185 0.4× 713 2.9× 269 3.3k
Concetto Spampinato Italy 34 1.4k 1.9× 636 1.0× 322 0.7× 513 1.2× 397 1.6× 183 3.9k
Jun Shi China 31 779 1.1× 1.4k 2.3× 807 1.7× 1.2k 2.8× 425 1.7× 188 3.6k
Türker Tuncer Türkiye 37 670 0.9× 864 1.4× 379 0.8× 499 1.2× 1.4k 5.9× 184 3.9k
Charence Wong United Kingdom 10 597 0.8× 679 1.1× 511 1.1× 341 0.8× 145 0.6× 20 2.1k
Prabal Datta Barua Australia 33 457 0.6× 1.1k 1.7× 407 0.9× 723 1.7× 1.1k 4.3× 167 3.9k

Countries citing papers authored by Vitoantonio Bevilacqua

Since Specialization
Citations

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

Fields of papers citing papers by Vitoantonio Bevilacqua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vitoantonio Bevilacqua

This figure shows the co-authorship network connecting the top 25 collaborators of Vitoantonio Bevilacqua. A scholar is included among the top collaborators of Vitoantonio Bevilacqua 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 Vitoantonio Bevilacqua. Vitoantonio Bevilacqua 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
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Zaccaria, Gian Maria, et al.. (2025). Development and validation of a machine learning prognostic model based on an epigenomic signature in patients with pancreatic ductal adenocarcinoma. International Journal of Medical Informatics. 199. 105883–105883.
3.
Brunetti, Antonio, et al.. (2025). Deep Learning Strategies for Semantic Segmentation in Robot-Assisted Radical Prostatectomy. Applied Sciences. 15(19). 10665–10665.
4.
Buongiorno, Domenico, Antonio Brunetti, Leonarda Carnimeo, et al.. (2025). A Deep Learning-Based Framework Oriented to Pathological Gait Recognition with Inertial Sensors. Sensors. 25(1). 260–260. 4 indexed citations
5.
Brunetti, Antonio, et al.. (2025). CALIMAR-GAN: An unpaired mask-guided attention network for metal artifact reduction in CT scans. Computerized Medical Imaging and Graphics. 123. 102565–102565.
6.
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Zaccaria, Gian Maria, et al.. (2024). A time-dependent explainable radiomic analysis from the multi-omic cohort of CPTAC-Pancreatic Ductal Adenocarcinoma. Computer Methods and Programs in Biomedicine. 257. 108408–108408. 4 indexed citations
8.
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Colucci, Simona, Gaetano Pagano, Maria Aliani, et al.. (2024). Enhancing Survival Analysis Model Selection through XAI(t) in Healthcare. Applied Sciences. 14(14). 6084–6084. 5 indexed citations
10.
Santone, Antonella, et al.. (2024). A Method for Ocular Disease Diagnosis through Visual Prediction Explainability. Electronics. 13(14). 2706–2706. 7 indexed citations
11.
Bevilacqua, Vitoantonio, et al.. (2024). A Novel Framework Based on Deep Learning Architecture for Continuous Human Activity Recognition with Inertial Sensors. Sensors. 24(7). 2199–2199. 8 indexed citations
12.
Rocca, Marianna La, Nicola Quaranta, Lucia Iannuzzi, et al.. (2023). Prefrontal dysfunction in post-COVID-19 hyposmia: an EEG/fNIRS study. Frontiers in Human Neuroscience. 17. 1240831–1240831. 8 indexed citations
13.
Altini, Nicola, Francescomaria Marino, Simona De Summa, et al.. (2023). Tumor Cellularity Assessment of Breast Histopathological Slides via Instance Segmentation and Pathomic Features Explainability. Bioengineering. 10(4). 396–396. 15 indexed citations
14.
Brunetti, Antonio, Guido Pasquini, David Naso, et al.. (2023). A Serious Game for the Assessment of Visuomotor Adaptation Capabilities during Locomotion Tasks Employing an Embodied Avatar in Virtual Reality. Sensors. 23(11). 5017–5017. 3 indexed citations
15.
Altini, Nicola, Antonio Brunetti, Stefano Mazzoleni, et al.. (2021). Predictive Machine Learning Models and Survival Analysis for COVID-19 Prognosis Based on Hematochemical Parameters. Sensors. 21(24). 8503–8503. 10 indexed citations
16.
Bevilacqua, Vitoantonio, Prashan Premaratne, & De-Shuang Huang. (2016). Intelligent Computing Theories and Application : 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part II. Springer eBooks. 1 indexed citations
17.
Bevilacqua, Vitoantonio, et al.. (2013). Scalable high-throughput identification of genetic targets by network filtering. BMC Bioinformatics. 14(S8). S5–S5. 1 indexed citations
18.
Bevilacqua, Vitoantonio, et al.. (2009). A Comparison Between a Geometrical and an ANN Based Method for Retinal Bifurcation Points Extraction. JUCS - Journal of Universal Computer Science. 15. 2608–2621. 3 indexed citations
19.
Bevilacqua, Vitoantonio, et al.. (2007). RETINAL FUNDUS HYBRID ANALYSIS BASED ON SOFT COMPUTING ALGORITHMS. 2. 1 indexed citations
20.
Bevilacqua, Vitoantonio, et al.. (2006). A Novel Multi-Objective Genetic Algorithm Approach to Artificial Neural Network Topology Optimisation: The Breast Cancer Classification Problem. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 1958–1965. 36 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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