Lucia Vadicamo

838 total citations
26 papers, 270 citations indexed

About

Lucia Vadicamo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Lucia Vadicamo has authored 26 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Lucia Vadicamo's work include Advanced Image and Video Retrieval Techniques (15 papers), Multimodal Machine Learning Applications (8 papers) and Data Management and Algorithms (7 papers). Lucia Vadicamo is often cited by papers focused on Advanced Image and Video Retrieval Techniques (15 papers), Multimodal Machine Learning Applications (8 papers) and Data Management and Algorithms (7 papers). Lucia Vadicamo collaborates with scholars based in Italy, United Kingdom and Czechia. Lucia Vadicamo's co-authors include Fabrizio Falchi, Giuseppe Amato, Fabio Carrara, Stefano Cresci, Maurizio Tesconi, Felice Dell’Orletta⋄, Andrea Cimino, Richard Connor, Claudio Gennaro and Fabio Valerio Massoli and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Future Generation Computer Systems.

In The Last Decade

Lucia Vadicamo

22 papers receiving 264 citations

Peers

Lucia Vadicamo

CVPR

SPS

Farzin Yaghmaee Iran

Malik Tahir Hassan Pakistan

Shiai Zhu Canada

Yanhong Wu Hong Kong

Giuseppe Castellucci Italy

Hannah Kim United States

Daniel Seebacher Germany

Ziyuan Zhao Singapore

Soham De United States

Lauren Bradel United States

Farzin Yaghmaee Iran

Lucia Vadicamo

133 ×0.9

CVPR

115 ×0.8

17 ×0.5

25 ×1.2

9 ×0.7

SPS

Citations per year, relative to Lucia Vadicamo Lucia Vadicamo (= 1×) peers Farzin Yaghmaee

Countries citing papers authored by Lucia Vadicamo

Since Specialization

Citations

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

Fields of papers citing papers by Lucia Vadicamo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucia Vadicamo

This figure shows the co-authorship network connecting the top 25 collaborators of Lucia Vadicamo. A scholar is included among the top collaborators of Lucia Vadicamo 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 Lucia Vadicamo. Lucia Vadicamo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Vadicamo, Lucia, et al.. (2025). Decentralized edge learning: A comparative study of distillation strategies and dissimilarity measures. Future Generation Computer Systems. 176. 108171–108171.

Vadicamo, Lucia, Werner Bailer, Fabio Carrara, et al.. (2024). Evaluating Performance and Trends in Interactive Video Retrieval: Insights From the 12th VBS Competition. IEEE Access. 12. 79342–79366. 7 indexed citations

Amato, Giuseppe, Paolo Bolettieri, Fabio Carrara, et al.. (2024). Will VISIONE Remain Competitive in Lifelog Image Search?. ISTI Open Portal. 58–63. 1 indexed citations

Connor, Richard, et al.. (2024). Correlations of Cross-Entropy Loss in Machine Learning. Entropy. 26(6). 491–491. 16 indexed citations

Carlini, Emanuele, et al.. (2024). Teacher-Student Models for AI Vision at the Edge: A Car Parking Case Study. ISTI Open Portal. 508–515. 3 indexed citations

Bailer, Werner, Fabio Carrara, Jakub Lokoč, et al.. (2024). Interactive multimodal video search: an extended post-evaluation for the VBS 2022 competition. International Journal of Multimedia Information Retrieval. 13(2). 2 indexed citations

Connor, Richard & Lucia Vadicamo. (2024). nSimplex Zen : A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces. ACM Transactions on Knowledge Discovery from Data. 18(6). 1–44.

Amato, Giuseppe, Paolo Bolettieri, Fabio Carrara, et al.. (2023). VISIONE for newbies: an easier-to-use video retrieval system. ISTI Open Portal. 158–162. 5 indexed citations

Amato, Giuseppe, Paolo Bolettieri, Fabio Carrara, et al.. (2023). VISIONE: A Large-Scale Video Retrieval System with Advanced Search Functionalities. Zenodo (CERN European Organization for Nuclear Research). 649–653. 2 indexed citations

10.

Lokoč, Jakub, Stelios Andreadis, Werner Bailer, et al.. (2023). Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS. Multimedia Systems. 29(6). 3481–3504. 24 indexed citations

11.

Vadicamo, Lucia, Giuseppe Amato, & Claudio Gennaro. (2023). Induced permutations for approximate metric search. Information Systems. 119. 102286–102286. 1 indexed citations

12.

Heller, Silvan, Werner Bailer, Cathal Gurrin, et al.. (2022). Interactive video retrieval evaluation at a distance: comparing sixteen interactive video search systems in a remote setting at the 10th Video Browser Showdown. International Journal of Multimedia Information Retrieval. 11(1). 1–18. 26 indexed citations

13.

Massoli, Fabio Valerio, Lucia Vadicamo, Giuseppe Amato, & Fabrizio Falchi. (2022). A Leap among Quantum Computing and Quantum Neural Networks: A Survey. ACM Computing Surveys. 55(5). 1–37. 24 indexed citations

14.

Vadicamo, Lucia, Richard Connor, & Edgar Chávez. (2021). Query filtering using two-dimensional local embeddings. Information Systems. 101. 101808–101808.

15.

Connor, Richard, et al.. (2018). Supermetric search. Information Systems. 80. 108–123. 8 indexed citations

16.

Vadicamo, Lucia, Fabio Carrara, Andrea Cimino, et al.. (2017). Cross-Media Learning for Image Sentiment Analysis in the Wild. ISTI Open Portal. 308–317. 86 indexed citations

17.

Amato, Giuseppe, Fabrizio Falchi, Fausto Rabitti, & Lucia Vadicamo. (2016). Combining Fisher Vector and Convolutional Neural Networks for Image Retrieval.. 1653. 1 indexed citations

18.

Connor, Richard, et al.. (2016). Hilbert Exclusion. ACM Transactions on Information Systems. 35(3). 1–27. 7 indexed citations

19.

Amato, Giuseppe, Fabrizio Falchi, & Lucia Vadicamo. (2016). Visual Recognition of Ancient Inscriptions Using Convolutional Neural Network and Fisher Vector. Journal on Computing and Cultural Heritage. 9(4). 1–24. 20 indexed citations

20.

Amato, Giuseppe, Fabrizio Falchi, Fausto Rabitti, & Lucia Vadicamo. (2014). Inscriptions visual recognition. A comparison of state-of-the-art object recognition approaches. CINECA IRIS Institutial research information system (University of Pisa). 26. 117–131. 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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