Luca Casini

431 total citations
23 papers, 259 citations indexed

About

Luca Casini is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Luca Casini has authored 23 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Luca Casini's work include COVID-19 epidemiological studies (5 papers), Music Technology and Sound Studies (4 papers) and Music and Audio Processing (4 papers). Luca Casini is often cited by papers focused on COVID-19 epidemiological studies (5 papers), Music Technology and Sound Studies (4 papers) and Music and Audio Processing (4 papers). Luca Casini collaborates with scholars based in Italy, Sweden and United States. Luca Casini's co-authors include Marco Roccetti, Giovanni Delnevo, Giuseppe Cappiello, Silvia Mirri, Paola Salomoni, Davide Tosi, Nicolo' Marchetti, Maurizio Carlini, Sonia Castellucci and Gustavo Marfia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Luca Casini

21 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Casini Italy 9 59 45 44 34 23 23 259
Parag Verma India 9 96 1.6× 37 0.8× 13 0.3× 42 1.2× 31 335
Mozaherul Hoque Abul Hasanat Saudi Arabia 11 110 1.9× 27 0.6× 21 0.5× 18 0.5× 33 296
Kamal Chandra Paul United States 11 48 0.8× 13 0.3× 63 1.4× 39 1.1× 25 386
Ilias Kalamaras Greece 9 42 0.7× 73 1.6× 15 0.3× 14 0.4× 28 345
Weng Howe Chan Malaysia 8 48 0.8× 15 0.3× 19 0.4× 16 0.5× 41 211
Santosh Kumar Ray India 9 179 3.0× 29 0.6× 28 0.6× 10 0.3× 23 286
Li‐Pang Chen Taiwan 10 64 1.1× 11 0.2× 19 0.4× 23 0.7× 65 372
Osama A. Ghoneim Egypt 8 78 1.3× 13 0.3× 36 0.8× 20 0.6× 10 271
Yepeng Yao China 11 91 1.5× 10 0.2× 44 1.0× 24 0.7× 25 253
Sachin Kumar India 7 169 2.9× 30 0.7× 110 2.5× 21 0.6× 23 331

Countries citing papers authored by Luca Casini

Since Specialization
Citations

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

Fields of papers citing papers by Luca Casini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Casini

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Casini. A scholar is included among the top collaborators of Luca Casini 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 Luca Casini. Luca Casini 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.
Sturm, Bob L., et al.. (2025). The AI Music Arms Race: On the Detection of AI-Generated Music. KTH Publication Database DiVA (KTH Royal Institute of Technology). 8(1).
2.
Casini, Luca, et al.. (2023). A human–AI collaboration workflow for archaeological sites detection. Scientific Reports. 13(1). 8699–8699. 21 indexed citations
3.
Casini, Luca, et al.. (2022). Questioning the seasonality of SARS-COV-2: a Fourier spectral analysis. BMJ Open. 12(4). e061602–e061602. 26 indexed citations
4.
Casini, Luca & Bob L. Sturm. (2022). Tradformer: A Transformer Model of Traditional Music Transcriptions. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 4915–4920. 1 indexed citations
5.
Casini, Luca & Marco Roccetti. (2021). Reopening Italy’s schools in September 2020: a Bayesian estimation of the change in the growth rate of new SARS-CoV-2 cases. BMJ Open. 11(7). e051458–e051458. 14 indexed citations
6.
Roccetti, Marco, Giovanni Delnevo, Luca Casini, & Silvia Mirri. (2021). An alternative approach to dimension reduction for pareto distributed data: a case study. Journal Of Big Data. 8(1). 39–39. 40 indexed citations
7.
Petroselli‬, Andrea, et al.. (2021). Assessing sprinkler systems performance with a novel experimental benchmark. Journal of Agricultural Engineering. 52(3). 2 indexed citations
8.
Carlini, Maurizio, et al.. (2021). Beer spent grains biomass for biogas production: Characterization and anaerobic digestion-oriented pre-treatments. Energy Reports. 7. 921–929. 16 indexed citations
9.
Roccetti, Marco & Luca Casini. (2021). The Role of Inter-Regional Tourism in the Spread of COVID-19 in Italy during the 2020 Summer. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–6. 1 indexed citations
10.
Casini, Luca & Marco Roccetti. (2021). A Bayesian Analysis of the Inversion of the SARS-COV-2 Case Rate in the Countries of the 2020 European Football Championship. Future Internet. 13(8). 212–212. 2 indexed citations
11.
Roccetti, Marco, Luca Casini, & Giovanni Delnevo. (2020). On the probabilistic mind of a robot. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1(1). 23–33. 1 indexed citations
12.
Roccetti, Marco, Giovanni Delnevo, Luca Casini, & Paola Salomoni. (2020). A Cautionary Tale for Machine Learning Design: why we Still Need Human-Assisted Big Data Analysis. Mobile Networks and Applications. 25(3). 1075–1083. 34 indexed citations
13.
Casini, Luca, et al.. (2020). The Barrier of meaning in archaeological data science.. 61–65. 1 indexed citations
14.
Casini, Luca & Marco Roccetti. (2020). Fashion, Digital Technologies, and AI. Is the 2020 Pandemic Really Driving a Paradigm Shift?. SHILAP Revista de lepidopterología. 6 indexed citations
15.
16.
Roccetti, Marco, et al.. (2019). A Paradox in ML Design. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 201–206. 4 indexed citations
17.
Roccetti, Marco, Giovanni Delnevo, Luca Casini, & Giuseppe Cappiello. (2019). Is bigger always better? A controversial journey to the center of machine learning design, with uses and misuses of big data for predicting water meter failures. Journal Of Big Data. 6(1). 51 indexed citations
18.
Casini, Luca & Marco Roccetti. (2018). The impact of AI on the musical world: will musicians be obsolete?. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 12(12). 119–134. 1 indexed citations
19.
Casini, Luca, Gustavo Marfia, & Marco Roccetti. (2018). Some Reflections on the Potential and Limitations of Deep Learning for Automated Music Generation. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). abs 1704 1279. 27–31. 8 indexed citations
20.
Calia, Domenico Bonaccini, et al.. (1990). <title>Fabry-Perot tunable filter for the visible and near IR using nematic liquid crystals</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1334. 221–230. 2 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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