Massimo De Santo

2.4k total citations
134 papers, 1.4k citations indexed

About

Massimo De Santo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Massimo De Santo has authored 134 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 42 papers in Computer Vision and Pattern Recognition and 34 papers in Information Systems. Recurrent topics in Massimo De Santo's work include Semantic Web and Ontologies (18 papers), Video Analysis and Summarization (15 papers) and Advanced Text Analysis Techniques (14 papers). Massimo De Santo is often cited by papers focused on Semantic Web and Ontologies (18 papers), Video Analysis and Summarization (15 papers) and Advanced Text Analysis Techniques (14 papers). Massimo De Santo collaborates with scholars based in Italy, United States and India. Massimo De Santo's co-authors include Francesco Colace, Luca Greco, Antonio Pietrosanto, Marco Lombardi, Francesco Pascale, Mario Vento, Saverio Lemma, Antonio Picariello, Paolo Napoletano and Domenico Santaniello and has published in prestigious journals such as Computers in Human Behavior, Pattern Recognition and Journal of the Association for Information Systems.

In The Last Decade

Massimo De Santo

127 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Massimo De Santo Italy 22 610 351 344 168 154 134 1.4k
Francesco Colace Italy 23 616 1.0× 447 1.3× 334 1.0× 173 1.0× 213 1.4× 152 1.5k
Francesco Orciuoli Italy 25 911 1.5× 470 1.3× 181 0.5× 312 1.9× 144 0.9× 123 1.9k
Fredrik Heintz Sweden 19 652 1.1× 224 0.6× 270 0.8× 382 2.3× 238 1.5× 97 1.7k
Efstratios Kontopoulos Greece 13 706 1.2× 456 1.3× 156 0.5× 89 0.5× 185 1.2× 47 1.5k
Zarina Shukur Malaysia 19 331 0.5× 641 1.8× 178 0.5× 99 0.6× 287 1.9× 102 1.2k
Erik Mannens Belgium 16 665 1.1× 429 1.2× 217 0.6× 66 0.4× 254 1.6× 191 1.3k
Matteo Gaeta Italy 24 840 1.4× 496 1.4× 200 0.6× 443 2.6× 270 1.8× 154 1.9k
Ioannis Hatzilygeroudis Greece 21 872 1.4× 343 1.0× 168 0.5× 250 1.5× 71 0.5× 142 1.6k
Roger Nkambou Canada 18 949 1.6× 728 2.1× 210 0.6× 218 1.3× 161 1.0× 101 1.7k
Mutasem K. Alsmadi Saudi Arabia 27 359 0.6× 455 1.3× 306 0.9× 69 0.4× 388 2.5× 109 1.9k

Countries citing papers authored by Massimo De Santo

Since Specialization
Citations

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

Fields of papers citing papers by Massimo De Santo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo De Santo. 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 Massimo De Santo. The network helps show where Massimo De Santo may publish in the future.

Co-authorship network of co-authors of Massimo De Santo

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo De Santo. A scholar is included among the top collaborators of Massimo De Santo 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 Massimo De Santo. Massimo De Santo 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.
Santo, Massimo De, et al.. (2023). Ontology learning from relational database: a review. Journal of Ambient Intelligence and Humanized Computing. 14(12). 16841–16851. 6 indexed citations
2.
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
3.
Colace, Francesco, Dajana Conte, Massimo De Santo, et al.. (2022). Recommender systems: a novel approach based on singular value decomposition. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 12(6). 6513–6513.
4.
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
5.
Casillo, Mario, et al.. (2021). COVID-19 data sharing and organization through blockchain and decentralized models. 2991. 128–140. 4 indexed citations
6.
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
7.
Clarizia, Fabio, Francesco Colace, Massimo De Santo, et al.. (2019). A multilevel graph approach for rainfall forecasting: A preliminary study case on London area. Concurrency and Computation Practice and Experience. 32(8). 18 indexed citations
8.
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
9.
Colace, Francesco, Massimo De Santo, Luca Greco, et al.. (2015). A User-Centered Approach for Social Recommendations. View. 190–193. 1 indexed citations
10.
Colace, Francesco, Massimo De Santo, Luca Greco, & Paolo Napoletano. (2013). A Query Expansion Method based on a Weighted Word Pairs Approach. BOA (University of Milano-Bicocca). 964. 17–28. 11 indexed citations
11.
Colace, Francesco, et al.. (2011). MAMA: A Novel Approach to Ontology Mapping.. 34–41. 1 indexed citations
12.
Santo, Massimo De, Antonio Pietrosanto, Paolo Napoletano, & Luca Carrubbo. (2011). Knowledge Based Service Systems. SSRN Electronic Journal. 1. 24–24. 5 indexed citations
13.
Clarizia, Fabio, Francesco Colace, Luca Greco, Massimo De Santo, & Paolo Napoletano. (2011). Improving Text Retrieval Accuracy Using a Graph of Terms. 42–47. 1 indexed citations
14.
Colace, Francesco, Shi‐Kuo Chang, & Massimo De Santo. (2010). SINMS: A Slow Intelligence Network Manager based on SNMP Protocol. 1. 47–52. 2 indexed citations
15.
Colace, Francesco, et al.. (2010). An Ontology-based Configurator for Customized Product Information based upon the Slow Intelligence Systems Approach.. Software Engineering and Knowledge Engineering. 521–528. 1 indexed citations
16.
Colace, Francesco, et al.. (2007). E-Learning Contents for People with Disabilities: a Standardized Design Approach. 1. 109–114. 1 indexed citations
17.
Colace, Francesco, et al.. (2005). Personalized Learning Path Based on Metadata Standards. International journal on e-learning. 4(3). 317–335. 4 indexed citations
18.
Colace, Francesco, Massimo De Santo, Pasquale Foggia, & Mario Vento. (2003). Ontology Learning Through Bayesian Networks. International Conference on Enterprise Information Systems. 2. 430–433. 1 indexed citations
19.
Fontana, Francesca Arcelli & Massimo De Santo. (1998). Intelligent Communications for a Distributed Learning Environment: A Software Agents Tale. 1 indexed citations
20.
Boccignone, Giuseppe, et al.. (1997). A system for computer-aided mammography. 197–202. 4 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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