Francesco Colace

3.2k total citations
152 papers, 1.5k citations indexed

About

Francesco Colace is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Francesco Colace has authored 152 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Artificial Intelligence, 45 papers in Computer Vision and Pattern Recognition and 44 papers in Information Systems. Recurrent topics in Francesco Colace's work include Context-Aware Activity Recognition Systems (20 papers), Semantic Web and Ontologies (18 papers) and Recommender Systems and Techniques (14 papers). Francesco Colace is often cited by papers focused on Context-Aware Activity Recognition Systems (20 papers), Semantic Web and Ontologies (18 papers) and Recommender Systems and Techniques (14 papers). Francesco Colace collaborates with scholars based in Italy, United States and United Kingdom. Francesco Colace's co-authors include Massimo De Santo, Luca Greco, Marco Lombardi, Domenico Santaniello, Francesco Pascale, Antonio Pietrosanto, Vincenzo Moscato, Saverio Lemma, Mario Casillo and Antonio Picariello and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and IEEE Access.

In The Last Decade

Francesco Colace

140 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Colace Italy 23 616 447 334 213 173 152 1.5k
Massimo De Santo Italy 22 610 1.0× 351 0.8× 344 1.0× 154 0.7× 168 1.0× 134 1.4k
Costas Vassilakis Greece 21 648 1.1× 654 1.5× 488 1.5× 382 1.8× 84 0.5× 162 1.8k
Liliana Ardissono Italy 17 448 0.7× 647 1.4× 322 1.0× 212 1.0× 53 0.3× 101 1.3k
Fredrik Heintz Sweden 19 652 1.1× 224 0.5× 270 0.8× 238 1.1× 382 2.2× 97 1.7k
Guus Schreiber Netherlands 22 1.3k 2.2× 622 1.4× 475 1.4× 228 1.1× 84 0.5× 97 2.1k
Efstratios Kontopoulos Greece 13 706 1.1× 456 1.0× 156 0.5× 185 0.9× 89 0.5× 47 1.5k
Matteo Gaeta Italy 24 840 1.4× 496 1.1× 200 0.6× 270 1.3× 443 2.6× 154 1.9k
Marco Lombardi Italy 16 331 0.5× 223 0.5× 191 0.6× 195 0.9× 83 0.5× 61 869
Flora Amato Italy 24 507 0.8× 548 1.2× 314 0.9× 369 1.7× 31 0.2× 107 1.3k
Erik Mannens Belgium 16 665 1.1× 429 1.0× 217 0.6× 254 1.2× 66 0.4× 191 1.3k

Countries citing papers authored by Francesco Colace

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Colace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Colace

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Colace. A scholar is included among the top collaborators of Francesco Colace 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 Francesco Colace. Francesco Colace 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.
Colace, Francesco, et al.. (2024). IoT and Digital Twin: a new perspective for Cultural Heritage predictive maintenance. Procedia Structural Integrity. 64. 2181–2188. 3 indexed citations
3.
Colace, Francesco, et al.. (2024). Metaverse and Museum: a Case Study. Procedia Structural Integrity. 64. 2189–2196.
4.
Colace, Francesco, et al.. (2024). Physics-informed neural networks for a Lithium-ion batteries model: A case of study. 2(4). 354–367. 1 indexed citations
6.
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.
7.
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
8.
Casillo, Mario, et al.. (2021). COVID-19 data sharing and organization through blockchain and decentralized models. 2991. 128–140. 4 indexed citations
9.
Castiglione, Arcangelo, Francesco Palmieri, Francesco Colace, et al.. (2020). Securing the internet of vehicles through lightweight block ciphers. Pattern Recognition Letters. 135. 264–270. 22 indexed citations
10.
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
11.
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
12.
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
13.
Colace, Francesco, Massimo De Santo, Luca Greco, et al.. (2015). A User-Centered Approach for Social Recommendations. View. 190–193. 1 indexed citations
14.
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
15.
Colace, Francesco, et al.. (2011). MAMA: A Novel Approach to Ontology Mapping.. 34–41. 1 indexed citations
16.
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
17.
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
18.
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
19.
Colace, Francesco, et al.. (2005). Personalized Learning Path Based on Metadata Standards. International journal on e-learning. 4(3). 317–335. 4 indexed citations
20.
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

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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