Vincenzo Loia
- Artificial Intelligence top 0.2%
- Information Systems top 0.2%
- Electrical and Electronic Engineering top 5%
- Computer Networks and Communications top 1%
- Management Science and Operations Research top 0.5%
- Co-authors
- Giuseppe FenzaGiovanni AcamporaFrancesco OrciuoliPierluigi SianoSabrina SenatoreAlfredo VaccaroHamido FujitaMatteo Gaeta
- Topics
- Semantic Web and Ontologies (67 papers)Rough Sets and Fuzzy Logic (43 papers)Data Management and Algorithms (36 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Industrial Electronics
In The Last Decade
Vincenzo Loia
326 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Artificial Intelligence 2.9k
- Information Systems 1.7k
- Electrical and Electronic Engineering 1.4k
- Computer Networks and Communications 1.3k
- Management Science and Operations Research 1.1k
Countries citing papers authored by Vincenzo Loia
This map shows the geographic impact of Vincenzo Loia'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 Vincenzo Loia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincenzo Loia more than expected).
Fields of papers citing papers by Vincenzo Loia
This network shows the impact of papers produced by Vincenzo Loia. 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 Vincenzo Loia. The network helps show where Vincenzo Loia may publish in the future.
Co-authorship network of co-authors of Vincenzo Loia
This figure shows the co-authorship network connecting the top 25 collaborators of Vincenzo Loia. A scholar is included among the top collaborators of Vincenzo Loia 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 Vincenzo Loia. Vincenzo Loia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 13 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 17 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 148 | |
| 14 | 91 | |
| 15 | 36 | |
| 16 | 149 | |
| 17 | 29 | |
| 18 | 16 | |
| 19 | Fuzzy Group Decision Making With Incomplete Information Guided by Social Influencebreakdown → | 262 |
| 20 | Local Semantic Context Analysis for Automatic Ontology Matching | 7 |
About Vincenzo Loia
Vincenzo Loia is a scholar working on Artificial Intelligence, Signal Processing and Information Systems, having authored 347 papers that have together received 7.3k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (67 papers), Rough Sets and Fuzzy Logic (43 papers) and Data Management and Algorithms (36 papers). The work is most often cited by research in Artificial Intelligence (2.9k citations), Management Science and Operations Research (1.1k citations) and Information Systems (1.7k citations). Vincenzo Loia has collaborated with scholars based in Italy, Spain and Canada. Frequent co-authors include Giuseppe Fenza, Giovanni Acampora, Francesco Orciuoli, Pierluigi Siano, Sabrina Senatore, Alfredo Vaccaro, Hamido Fujita, Matteo Gaeta, Miadreza Shafie‐khah and Carmen De Maio. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Industrial Electronics.
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.