Davide Ceolin
Impact in
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
- Artificial Intelligence top 10%
- Semantic Web and Ontologies
- Logic, Reasoning, and Knowledge
- Bayesian Modeling and Causal Inference
- Topic Modeling
Papers in
-
- Semantic Web and Ontologies 13
- Sentiment Analysis and Opinion Mining 4
- Multi-Agent Systems and Negotiation 3
-
- Mobile Crowdsensing and Crowdsourcing 6
- Co-authors
- Wan J. Fokkink (17 shared papers)Willem Robert van Hage (12 shared papers)Stefano Mizzaro (5 shared papers)Kevin Roitero (4 shared papers)Gianluca Demartini (3 shared papers)Damiano Spina (3 shared papers)Paul Groth (5 shared papers)Tobias Kuhn (5 shared papers)
- Journals
- Information Processing & Management (3 papers)Transactions in GIS (1 paper)Journal of Data and Information Quality (1 paper)PeerJ Computer Science (1 paper)Information Systems (1 paper)
- Partner nations
- NetherlandsItalyUnited Kingdom
In The Last Decade
Davide Ceolin
47 papers receiving 336 citations
Peers
Comparison fields: 5 of 56
- Computer Science Applications 34
- Artificial Intelligence 110
- Sociology and Political Science 132
- Information Systems 57
- Information Systems and Management 12
Countries citing papers authored by Davide Ceolin
This map shows the geographic impact of Davide Ceolin'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 Davide Ceolin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Ceolin more than expected).
Fields of papers citing papers by Davide Ceolin
This network shows the impact of papers produced by Davide Ceolin. 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 Davide Ceolin. The network helps show where Davide Ceolin may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Ceolin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 44 | |
| 2 | 2024 | 29 | |
| 3 | 2022 | 18 | |
| 4 | Trust evaluation through user reputation and provenance analysis | 2012 | 17 |
| 5 | Calculating the Trust of Event Descriptions using Provenance | 2010 | 14 |
| 6 | A Trust Model to Estimate the Quality of Annotations using the Web | 2010 | 11 |
| 7 | 2012 | 11 | |
| 8 | 2016 | 11 | |
| 9 | 2021 | 11 | |
| 10 | 2014 | 9 | |
| 11 | 2019 | 9 | |
| 12 | 2020 | 9 | |
| 13 | 2024 | 9 | |
| 14 | 2013 | 8 | |
| 15 | Reliability analyses of open government data | 2013 | 8 |
| 16 | 2014 | 8 | |
| 17 | Estimating uncertainty of categorical web data | 2011 | 7 |
| 18 | Subjective logic extensions for the semantic web | 2012 | 7 |
| 19 | 2013 | 7 | |
| 20 | 2017 | 7 |
About Davide Ceolin
Davide Ceolin is a scholar working on Artificial Intelligence, Computer Science Applications, Sociology and Political Science, Information Systems and Management Science and Operations Research, having authored 51 papers that have together received 344 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (13 papers), Access Control and Trust (11 papers), Misinformation and Its Impacts (7 papers), Mobile Crowdsensing and Crowdsourcing (6 papers), Data Quality and Management (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Web Data Mining and Analysis (3 papers) and Multi-Agent Systems and Negotiation (3 papers). The work is most often cited by research in Computer Science Applications (34 citations), Artificial Intelligence (110 citations), Sociology and Political Science (132 citations), Information Systems (57 citations) and Information Systems and Management (12 citations). Davide Ceolin has collaborated with scholars based in Netherlands, Italy and United Kingdom. Frequent co-authors include Wan J. Fokkink, Willem Robert van Hage, Stefano Mizzaro, Kevin Roitero, Gianluca Demartini, Damiano Spina, Paul Groth, Tobias Kuhn, Giuseppe Primiero and Lora M. Aroyo. Their work appears in journals such as Information Processing & Management, Transactions in GIS, Journal of Data and Information Quality, PeerJ Computer Science and Information Systems.
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.