Fabio Mercorio
- Artificial Intelligence top 5%
- Information Systems top 5%
- Management Science and Operations Research top 5%
- Computer Vision and Pattern Recognition top 10%
- Economics and Econometrics
- Co-authors
- Mario MezzanzanicaMirko CesariniLorenzo MalandriRoberto BoselliDaniele MagazzeniGiuseppe Della PennaEmilio ColomboBenedetto Intrigila
- Topics
- Topic Modeling (17 papers)Natural Language Processing Techniques (9 papers)Data Quality and Management (9 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Fabio Mercorio
60 papers receiving 871 citations
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 461
- Information Systems 221
- Management Science and Operations Research 105
- Computer Vision and Pattern Recognition 90
- Economics and Econometrics 66
Countries citing papers authored by Fabio Mercorio
This map shows the geographic impact of Fabio Mercorio'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 Fabio Mercorio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Mercorio more than expected).
Fields of papers citing papers by Fabio Mercorio
This network shows the impact of papers produced by Fabio Mercorio. 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 Fabio Mercorio. The network helps show where Fabio Mercorio may publish in the future.
Co-authorship network of co-authors of Fabio Mercorio
This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Mercorio. A scholar is included among the top collaborators of Fabio Mercorio 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 Fabio Mercorio. Fabio Mercorio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 64 | |
| 4 | 14 | |
| 5 | 9 | |
| 6 | 41 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 10 | |
| 10 | 40 | |
| 11 | 25 | |
| 12 | 54 | |
| 13 | Labour market intelligence for supporting decision making | 0 |
| 14 | Heuristic planning for PDDL+ domains | 20 |
| 15 | UPMurphi Released: PDDL+ Planning for Hybrid Systems | 1 |
| 16 | 26 | |
| 17 | 1 | |
| 18 | Semantic Annotation of unstructured Wiki Knowledge according to Ontological Models | 1 |
| 19 | Towards the use of Model Checking for performing Data Consistency Evaluation and Cleansing | 2 |
| 20 | Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics (ICINCO-11) | 15 |
About Fabio Mercorio
Fabio Mercorio is a scholar working on Artificial Intelligence, Software and Information Systems, having authored 65 papers that have together received 926 indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Natural Language Processing Techniques (9 papers) and Data Quality and Management (9 papers). The work is most often cited by research in Health Informatics (25 citations), Artificial Intelligence (461 citations) and Information Systems (221 citations). Fabio Mercorio has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Mario Mezzanzanica, Mirko Cesarini, Lorenzo Malandri, Roberto Boselli, Daniele Magazzeni, Giuseppe Della Penna, Emilio Colombo, Benedetto Intrigila, Antonio Picariello and Vincenzo Moscato. Their work appears in journals such as Applied Soft Computing, Decision Support Systems and Knowledge-Based 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.