Luca Frigau

597 total citations
43 papers, 394 citations indexed

About

Luca Frigau is a scholar working on Marketing, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Luca Frigau has authored 43 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Marketing, 7 papers in Sociology and Political Science and 7 papers in Artificial Intelligence. Recurrent topics in Luca Frigau's work include Sharing Economy and Platforms (6 papers), Musculoskeletal pain and rehabilitation (5 papers) and Transportation and Mobility Innovations (4 papers). Luca Frigau is often cited by papers focused on Sharing Economy and Platforms (6 papers), Musculoskeletal pain and rehabilitation (5 papers) and Transportation and Mobility Innovations (4 papers). Luca Frigau collaborates with scholars based in Italy, United States and United Kingdom. Luca Frigau's co-authors include Francesco Molà, Antonio Capone, Giuseppe Marongiu, Gianluigi Bacchetta, Paolo Fadda, Gianfranco Fancello, Claudio Conversano, Andrea Santo, Efisio Mattana and Marco Monticone and has published in prestigious journals such as Journal of the American Chemical Society, Journal of the American Statistical Association and European Spine Journal.

In The Last Decade

Luca Frigau

38 papers receiving 384 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 Frigau Italy 12 94 67 62 40 39 43 394
Anirban Chowdhury India 13 42 0.4× 12 0.2× 4 0.1× 8 0.2× 25 0.6× 41 495
Thomas Lamb United States 17 5 0.1× 22 0.3× 28 0.5× 23 0.6× 41 1.1× 64 767
Yan Han China 12 9 0.1× 15 0.2× 13 0.2× 114 2.9× 6 0.2× 31 534
Eugênio Andrés Díaz Merino Brazil 11 15 0.2× 24 0.4× 5 0.1× 3 0.1× 105 2.7× 135 402
David Ison United States 11 73 0.8× 258 3.9× 6 0.1× 6 0.1× 3 0.1× 53 617
Francisco Duarte Brazil 12 24 0.3× 56 0.8× 17 0.3× 2 0.1× 10 0.3× 68 377
Humberto Arruda Brazil 3 30 0.3× 9 0.1× 20 0.3× 1 0.0× 8 0.2× 6 365
Gordon A. King United States 11 6 0.1× 97 1.4× 7 0.1× 13 0.3× 5 0.1× 33 892
Peitong Zhang China 12 5 0.1× 33 0.5× 8 0.1× 18 0.5× 13 0.3× 35 416
Kuniaki Sasaki Japan 11 5 0.1× 44 0.7× 7 0.1× 8 0.2× 17 0.4× 69 527

Countries citing papers authored by Luca Frigau

Since Specialization
Citations

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

Fields of papers citing papers by Luca Frigau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Frigau

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Frigau. A scholar is included among the top collaborators of Luca Frigau 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 Frigau. Luca Frigau 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.
Carta, Andrea & Luca Frigau. (2025). Tree oblique for regression with weighted support vector machine. Computational Statistics. 40(9). 5257–5291.
2.
Frigau, Luca, et al.. (2024). Gauging Airbnb review sentiments and critical key-topics by small area estimation. Statistical Methods & Applications. 33(4). 1145–1170.
3.
Conversano, Claudio, et al.. (2024). Overlapping coefficient in network-based semi-supervised clustering. Computational Statistics. 39(7). 3831–3854.
4.
Carta, Andrea, et al.. (2023). A scientometric analysis of the effect of COVID-19 on the spread of research outputs. Quality & Quantity. 58(3). 2265–2287. 2 indexed citations
5.
Frigau, Luca, et al.. (2023). Semi-supervised sentiment clustering on natural language texts. Statistical Methods & Applications. 32(4). 1239–1257. 3 indexed citations
6.
Coppola, Floriana, et al.. (2023). Near-Infrared Spectroscopy and Machine Learning for Accurate Dating of Historical Books. Journal of the American Chemical Society. 145(22). 12305–12314. 13 indexed citations
7.
Frigau, Luca, et al.. (2022). VGLM proportional odds model to infer hosts’ Airbnb performance. Quality & Quantity. 57(5). 4069–4094. 1 indexed citations
8.
Marongiu, Giuseppe, Luca Frigau, Quirico Mela, et al.. (2022). Periapical status in patients affected by osteoporosis: A retrospective clinical study. Clinical and Experimental Dental Research. 8(5). 1068–1075. 8 indexed citations
9.
Ortu, Marco, et al.. (2022). Topic based quality indexes assessment through sentiment. Computational Statistics. 39(1). 289–311. 4 indexed citations
10.
Frigau, Luca, et al.. (2021). Markov chain to analyze web usability of a university website using eye tracking data. Statistical Analysis and Data Mining The ASA Data Science Journal. 14(4). 331–341. 8 indexed citations
11.
Marongiu, Giuseppe, et al.. (2020). Reliability and reproducibility of the new AO/OTA 2018 classification system for proximal humeral fractures: a comparison of three different classification systems. Journal of Orthopaedics and Traumatology. 21(1). 4–4. 32 indexed citations
12.
Monticone, Marco, Luca Frigau, Howard Vernon, et al.. (2020). Reliability, responsiveness and minimal clinically important difference of the two Fear Avoidance and Beliefs Questionnaire scales in Italian subjects with chronic low back pain undergoing multidisciplinary rehabilitation. European Journal of Physical and Rehabilitation Medicine. 56(5). 600–606. 27 indexed citations
13.
Monticone, Marco, Luca Frigau, Francesco Molà, et al.. (2019). The Italian version of the Quebec Back Pain Disability Scale: cross-cultural adaptation, reliability and validity in patients with chronic low back pain. European Spine Journal. 29(3). 530–539. 4 indexed citations
14.
Frigau, Luca, Jaromı́r Antoch, Gianluigi Bacchetta, et al.. (2019). A statistical approach to the morphological classification of Prunus sp. seeds. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 154(6). 877–886. 9 indexed citations
15.
16.
Conversano, Claudio, et al.. (2019). Information Content, Interactivity, and Online Popularity of the Websites of World Heritage Sites: Evidence from France, Italy, and Spain. Tourism Culture & Communication. 19(2). 111–133. 4 indexed citations
17.
Conversano, Claudio, et al.. (2019). The impact of Airbnb on hidden and sustainable tourism: the case of Italy. International Journal of Tourism Policy. 9(2). 99–99. 8 indexed citations
18.
Monticone, Marco, Luca Frigau, Howard Vernon, Barbara Rocca, & Francesco Molà. (2017). Responsiveness and minimal important change of the NeckPix© in subjects with chronic neck pain undergoing rehabilitation. European Spine Journal. 27(6). 1324–1331. 3 indexed citations
19.
Molà, Francesco, et al.. (2016). Classification of Images Background Subtraction in Image Segmentation. UNICA IRIS Institutional Research Information System (University of Cagliari). 55(1). 73–86.
20.
Santo, Andrea, Efisio Mattana, Luca Frigau, & Gianluigi Bacchetta. (2013). Light, temperature, dry after‐ripening and salt stress effects on seed germination of Phleum sardoum ( H ackel) H ackel. Plant Species Biology. 29(3). 300–305. 23 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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