Francesco Colace
- Information Systems top 2%
- Recommender Systems and Techniques 14
- Artificial Intelligence top 2%
- Semantic Web and Ontologies 18
- Advanced Text Analysis Techniques 14
- Sentiment Analysis and Opinion Mining 12
- Topic Modeling 11
- Space and Planetary Science top 5%
- Geology top 5%
- 3D Surveying and Cultural Heritage 13
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- Context-Aware Activity Recognition Systems 20
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- Data Management and Algorithms 11
- Co-authors
- Massimo De SantoLuca GrecoMarco LombardiDomenico SantanielloFrancesco PascaleAntonio PietrosantoVincenzo MoscatoSaverio Lemma
- Journals
- SHILAP Revista de lepidopterología (2 papers)Computers in Human Behavior (3 papers)IEEE Access (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Francesco Colace
140 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 118
- Computer Science Applications 173
- Information Systems 447
- Artificial Intelligence 616
- Space and Planetary Science 22
- Geology 91
Countries citing papers authored by Francesco Colace
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
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
The 25 scholars most cited alongside Francesco Colace, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 0 | |
| 7 | 2021 | 37 | |
| 8 | COVID-19 data sharing and organization through blockchain and decentralized models | 2021 | 4 |
| 9 | 2020 | 22 | |
| 10 | 2019 | 21 | |
| 11 | 2019 | 18 | |
| 12 | An adaptive educational hypermedia system for supporting students in their traditional learning process in computer engineering education | 2016 | 1 |
| 13 | A User-Centered Approach for Social Recommendations | 2015 | 1 |
| 14 | A Query Expansion Method based on a Weighted Word Pairs Approach | 2013 | 11 |
| 15 | MAMA: A Novel Approach to Ontology Mapping. | 2011 | 1 |
| 16 | Improving Text Retrieval Accuracy Using a Graph of Terms | 2011 | 1 |
| 17 | SINMS: A Slow Intelligence Network Manager based on SNMP Protocol | 2010 | 2 |
| 18 | An Ontology-based Configurator for Customized Product Information based upon the Slow Intelligence Systems Approach. | 2010 | 1 |
| 19 | Personalized Learning Path Based on Metadata Standards | 2005 | 4 |
| 20 | Ontology Learning Through Bayesian Networks | 2003 | 1 |
About Francesco Colace
Francesco Colace is a scholar working on Computer Science Applications, Geology and Computer Vision and Pattern Recognition, having authored 152 papers that have together received 1.5k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (20 papers), Semantic Web and Ontologies (18 papers), Recommender Systems and Techniques (14 papers), Advanced Text Analysis Techniques (14 papers), 3D Surveying and Cultural Heritage (13 papers), Sentiment Analysis and Opinion Mining (12 papers), Topic Modeling (11 papers) and Data Management and Algorithms (11 papers). The work is most often cited by research in Computer Science Applications (173 citations), Information Systems (447 citations) and Artificial Intelligence (616 citations). Francesco Colace has collaborated with scholars based in Italy, United States and United Kingdom. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and IEEE Access.
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.