Mario Casillo

919 total citations
41 papers, 445 citations indexed

About

Mario Casillo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mario Casillo has authored 41 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 9 papers in Computer Networks and Communications. Recurrent topics in Mario Casillo's work include Context-Aware Activity Recognition Systems (11 papers), IoT and Edge/Fog Computing (7 papers) and 3D Surveying and Cultural Heritage (6 papers). Mario Casillo is often cited by papers focused on Context-Aware Activity Recognition Systems (11 papers), IoT and Edge/Fog Computing (7 papers) and 3D Surveying and Cultural Heritage (6 papers). Mario Casillo collaborates with scholars based in Italy, Taiwan and India. Mario Casillo's co-authors include Domenico Santaniello, Francesco Colace, Marco Lombardi, Massimo De Santo, Angelo Lorusso, Carmine Valentino, Fabio Clarizia, L. Landi, Antonio De Maio and Salvatore Iommelli and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of the Association for Information Systems.

In The Last Decade

Mario Casillo

38 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Casillo Italy 12 124 101 95 75 62 41 445
David Arnold United Kingdom 12 88 0.7× 181 1.8× 47 0.5× 34 0.5× 58 0.9× 85 537
Georgios Alexandridis Greece 12 201 1.6× 43 0.4× 83 0.9× 15 0.2× 19 0.3× 45 403
Nitin Gupta India 11 219 1.8× 125 1.2× 166 1.7× 71 0.9× 170 2.7× 45 627
Wolfram Luther Germany 10 33 0.3× 70 0.7× 41 0.4× 17 0.2× 31 0.5× 77 334
Lili Zhao China 13 249 2.0× 283 2.8× 162 1.7× 56 0.7× 48 0.8× 75 684
Mehul Bhatt Germany 14 270 2.2× 89 0.9× 90 0.9× 85 1.1× 141 2.3× 57 566
Simant Prakoonwit United Kingdom 13 201 1.6× 109 1.1× 151 1.6× 17 0.2× 39 0.6× 40 522
Francisco Ortín Spain 14 381 3.1× 28 0.3× 337 3.5× 40 0.5× 146 2.4× 89 778
Ning Gui China 10 168 1.4× 176 1.7× 53 0.6× 12 0.2× 113 1.8× 48 544
Yichao Zhou China 13 310 2.5× 117 1.2× 35 0.4× 39 0.5× 18 0.3× 29 571

Countries citing papers authored by Mario Casillo

Since Specialization
Citations

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

Fields of papers citing papers by Mario Casillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Casillo

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Casillo. A scholar is included among the top collaborators of Mario Casillo 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 Mario Casillo. Mario Casillo 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.
Casillo, Mario, Francesco Colace, Marco Lombardi, et al.. (2025). ARTU: An Approach for Recommending Trips to Users. IEEE Access. 13. 193001–193019.
2.
Casillo, Mario, Francesco Colace, Angelo Lorusso, Domenico Santaniello, & Carmine Valentino. (2025). Integrating Physical and Virtual Experiences in Cultural Tourism: An Adaptive Multimodal Recommender System. IEEE Access. 13. 28353–28368. 6 indexed citations
3.
Casillo, Mario, Francesco Colace, Angelo Lorusso, Domenico Santaniello, & Carmine Valentino. (2025). Improving Enjoyment of Cultural Heritage Through Recommender Systems, Virtual Tour, and Digital Storytelling. 263–271.
4.
Casillo, Mario, et al.. (2024). Revolutionizing cultural heritage preservation: an innovative IoT-based framework for protecting historical buildings. Evolutionary Intelligence. 17(5-6). 3815–3831. 19 indexed citations
5.
Valentino, Carmine, et al.. (2024). Step-by-step time discrete Physics-Informed Neural Networks with application to a sustainability PDE model. Mathematics and Computers in Simulation. 230. 541–558. 5 indexed citations
6.
Casillo, Mario, et al.. (2024). Integrating the Internet of Things (IoT) in SPA Medicine: Innovations and Challenges in Digital Wellness. Computers. 13(3). 67–67. 13 indexed citations
7.
Casillo, Mario, et al.. (2023). Sharing the knowledge: exploring cultural heritage through an ontology-based platform. Journal of Ambient Intelligence and Humanized Computing. 14(9). 12317–12327. 5 indexed citations
8.
Casillo, Mario, et al.. (2023). Internet of Things in SPA Medicine: A General Framework to Improve User Treatments. 6. 309–313. 1 indexed citations
9.
Casillo, Mario, Brij B. Gupta, Marco Lombardi, et al.. (2022). Context Aware Recommender Systems: A Novel Approach Based on Matrix Factorization and Contextual Bias. Electronics. 11(7). 1003–1003. 23 indexed citations
10.
Casillo, Mario, et al.. (2022). An Ontology-Based Chatbot to Enhance Experiential Learning in a Cultural Heritage Scenario. Frontiers in Artificial Intelligence. 5. 808281–808281. 11 indexed citations
11.
Casillo, Mario, Francesco Colace, Marco Lombardi, et al.. (2022). An Internet of Things approach for Cultural Heritage enhancement. 8. 149–161. 1 indexed citations
12.
Casillo, Mario, Francesco Colace, Brij B. Gupta, et al.. (2022). A Situation Awareness Approach for Smart Home Management. 260–265. 6 indexed citations
13.
Casillo, Mario, Francesco Colace, Dajana Conte, et al.. (2021). Context-aware recommender systems and cultural heritage: a survey. Journal of Ambient Intelligence and Humanized Computing. 14(4). 3109–3127. 37 indexed citations
14.
Casillo, Mario, et al.. (2021). COVID-19 data sharing and organization through blockchain and decentralized models. 2991. 128–140. 4 indexed citations
15.
Casillo, Mario, Fabio Clarizia, Giuseppe D’Aniello, et al.. (2020). CHAT-Bot: A cultural heritage aware teller-bot for supporting touristic experiences. Pattern Recognition Letters. 131. 234–243. 49 indexed citations
16.
Casillo, Mario, et al.. (2020). Chatbot in Industry 4.0: An Approach for Training New Employees. Use Siena air (University of Siena). 371–376. 34 indexed citations
17.
Casillo, Mario, Fabio Clarizia, Francesco Colace, et al.. (2019). An Approach for Recommending Contextualized Services in e-Tourism. Information. 10(5). 180–180. 21 indexed citations
18.
Colace, Francesco, Domenico Santaniello, Mario Casillo, & Fabio Clarizia. (2017). BeCAMS: A behaviour context aware monitoring system. 1–6. 14 indexed citations
19.
Colace, Francesco, et al.. (2016). An adaptive educational hypermedia system for supporting students in their traditional learning process in computer engineering education. International journal of engineering education. 32(4). 1625–1636. 1 indexed citations
20.
Casillo, Mario, Francesco Colace, Massimo De Santo, et al.. (2016). An Ontological Approach to Digital Storytelling. 1–8. 10 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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