Paolo Bucci
- Statistics, Probability and Uncertainty top 2%
- Software top 5%
- Computer Science Applications top 5%
- Information Systems top 5%
- Artificial Intelligence
- Co-authors
- Bruce W. WeideTimothy J. LongTunc AldemirMurali SitaramanCurtis SmithJoseph E. HollingsworthEylem EkiciSergio Guarro
- Topics
- Software Engineering Research (11 papers)Teaching and Learning Programming (10 papers)Software Reliability and Analysis Research (5 papers)
- Journals
- Reliability Engineering & System SafetyAnimal Feed Science and TechnologyNuclear Technology
- Partner nations
- United States
In The Last Decade
Paolo Bucci
25 papers receiving 355 citations
Peers
Comparison fields: 5 of 60
- Statistics, Probability and Uncertainty 130
- Software 118
- Computer Science Applications 116
- Information Systems 114
- Artificial Intelligence 64
Countries citing papers authored by Paolo Bucci
This map shows the geographic impact of Paolo Bucci'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 Paolo Bucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Bucci more than expected).
Fields of papers citing papers by Paolo Bucci
This network shows the impact of papers produced by Paolo Bucci. 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 Paolo Bucci. The network helps show where Paolo Bucci may publish in the future.
Co-authorship network of co-authors of Paolo Bucci
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Bucci. A scholar is included among the top collaborators of Paolo Bucci 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 Paolo Bucci. Paolo Bucci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 46 | |
| 3 | 24 | |
| 4 | 21 | |
| 5 | 19 | |
| 6 | 81 | |
| 7 | 13 | |
| 8 | 8 | |
| 9 | Generating dynamic fault trees from markov models | 2 |
| 10 | Constructing Dynamic Event Trees from Markov Models | 2 |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 11 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 21 | |
| 18 | 7 | |
| 19 | 35 | |
| 20 | Conceptual program editors: design and formal specification | 2 |
About Paolo Bucci
Paolo Bucci is a scholar working on Software, Computer Science Applications and Statistics, Probability and Uncertainty, having authored 25 papers that have together received 379 indexed citations. Recurring topics across this work include Software Engineering Research (11 papers), Teaching and Learning Programming (10 papers) and Software Reliability and Analysis Research (5 papers). The work is most often cited by research in Software (118 citations), Computer Science Applications (116 citations) and Statistics, Probability and Uncertainty (130 citations). Paolo Bucci has collaborated with scholars based in United States. Frequent co-authors include Bruce W. Weide, Timothy J. Long, Tunc Aldemir, Murali Sitaraman, Curtis Smith, Joseph E. Hollingsworth, Eylem Ekici, Sergio Guarro, Diego Mandelli and M. L. Eastridge. Their work appears in journals such as Reliability Engineering & System Safety, Animal Feed Science and Technology and Nuclear Technology.
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.