Andrea Mocci
- Information Systems top 1%
- Artificial Intelligence top 5%
- Software top 2%
- Computer Science Applications top 1%
- Computer Networks and Communications top 5%
- Co-authors
- Michele LanzaLuca PonzanelliRoberto MinelliAlberto BacchelliGabriele BavotaCarlo GhezziRocco OlivetoDavid A. Fullerton
- Topics
- Software Engineering Research (45 papers)Advanced Software Engineering Methodologies (13 papers)Software Engineering Techniques and Practices (12 papers)
- Partner nations
- SwitzerlandItalyUnited States
In The Last Decade
Andrea Mocci
58 papers receiving 950 citations
Peers
Comparison fields: 5 of 58
- Information Systems 773
- Artificial Intelligence 289
- Software 241
- Computer Science Applications 219
- Computer Networks and Communications 183
Countries citing papers authored by Andrea Mocci
This map shows the geographic impact of Andrea Mocci'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 Andrea Mocci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Mocci more than expected).
Fields of papers citing papers by Andrea Mocci
This network shows the impact of papers produced by Andrea Mocci. 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 Andrea Mocci. The network helps show where Andrea Mocci may publish in the future.
Co-authorship network of co-authors of Andrea Mocci
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Mocci. A scholar is included among the top collaborators of Andrea Mocci 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 Andrea Mocci. Andrea Mocci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 15 | |
| 7 | 53 | |
| 8 | 2 | |
| 9 | 119 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 106 | |
| 15 | 51 | |
| 16 | 2 | |
| 17 | 0 | |
| 18 | Early prediction of tilt test outcome, with support vector machine non linear classifier, using ECG, pressure and impedance signals | 3 |
| 19 | 33 | |
| 20 | 8 |
About Andrea Mocci
Andrea Mocci is a scholar working on Software, Information Systems and Computer Science Applications, having authored 61 papers that have together received 975 indexed citations. Recurring topics across this work include Software Engineering Research (45 papers), Advanced Software Engineering Methodologies (13 papers) and Software Engineering Techniques and Practices (12 papers). The work is most often cited by research in Software (241 citations), Computer Science Applications (219 citations) and Information Systems (773 citations). Andrea Mocci has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Michele Lanza, Luca Ponzanelli, Roberto Minelli, Alberto Bacchelli, Gabriele Bavota, Carlo Ghezzi, Rocco Oliveto, David A. Fullerton, Massimiliano Di Penta and Mattia Monga. Their work appears in journals such as IEEE Transactions on Software Engineering, IEEE Software and ACM SIGPLAN Notices.
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.