Pasqualina Potena
- Information Systems top 5%
- Software top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Management Information Systems
- Co-authors
- Vittorio CortellessaFabrizio MarinelliRaffaela MirandolaIvica CrnkovićPatrizia ScandurraElvinia RiccobeneMarkus BohlinRoberto Pietrantuono
- Topics
- Advanced Software Engineering Methodologies (15 papers)Software System Performance and Reliability (14 papers)Software Reliability and Analysis Research (13 papers)
In The Last Decade
Pasqualina Potena
28 papers receiving 243 citations
Peers
Comparison fields: 5 of 31
- Information Systems 177
- Software 119
- Artificial Intelligence 111
- Computer Networks and Communications 102
- Management Information Systems 24
Countries citing papers authored by Pasqualina Potena
This map shows the geographic impact of Pasqualina Potena'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 Pasqualina Potena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pasqualina Potena more than expected).
Fields of papers citing papers by Pasqualina Potena
This network shows the impact of papers produced by Pasqualina Potena. 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 Pasqualina Potena. The network helps show where Pasqualina Potena may publish in the future.
Co-authorship network of co-authors of Pasqualina Potena
This figure shows the co-authorship network connecting the top 25 collaborators of Pasqualina Potena. A scholar is included among the top collaborators of Pasqualina Potena 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 Pasqualina Potena. Pasqualina Potena 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 | 8 | |
| 3 | 13 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 17 | |
| 7 | 10 | |
| 8 | 4 | |
| 9 | 16 | |
| 10 | 2 | |
| 11 | A Framework for Adapting Service-oriented Applications based on Functional/Extra-functional Requirements Tradeoffs | 1 |
| 12 | 4 | |
| 13 | 1 | |
| 14 | A framework for adapting service-oriented applications based on functional/extra-functional requirements tradeoffs: the Stock Trading System case study | 1 |
| 15 | 8 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 24 | |
| 19 | 64 | |
| 20 | 6 |
About Pasqualina Potena
Pasqualina Potena is a scholar working on Software, Information Systems and Computer Networks and Communications, having authored 29 papers that have together received 257 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (15 papers), Software System Performance and Reliability (14 papers) and Software Reliability and Analysis Research (13 papers). The work is most often cited by research in Software (119 citations), Information Systems (177 citations) and Computer Networks and Communications (102 citations). Pasqualina Potena has collaborated with scholars based in Italy, Sweden and Spain. Frequent co-authors include Vittorio Cortellessa, Fabrizio Marinelli, Raffaela Mirandola, Ivica Crnković, Patrizia Scandurra, Elvinia Riccobene, Markus Bohlin, Roberto Pietrantuono, Daniel Rodríguez and Antonio Pecchia. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Computers & Operations Research and Journal of Systems and Software.
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.