Sergio Moreschini
Impact in
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- Software Reliability and Analysis Research
- Information Systems top 10%
- Cloud Computing and Resource Management
- Software Engineering Research
- Blockchain Technology Applications and Security
Papers in
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- Software Engineering Research 10
- Cloud Computing and Resource Management 7
- Blockchain Technology Applications and Security 2
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- IoT and Edge/Fog Computing 6
- Software System Performance and Reliability 4
- Co-authors
- Davide Taibi (16 shared papers)David Hästbacka (9 shared papers)Xiaozhou Li (6 shared papers)Fabiano Pecorelli (4 shared papers)Valentina Lenarduzzi (6 shared papers)Robert Bregović (2 shared papers)Zheying Zhang (4 shared papers)Fabio Palomba (3 shared papers)
In The Last Decade
Sergio Moreschini
25 papers receiving 163 citations
Peers
Comparison fields: 5 of 36
- Software 14
- Information Systems 75
- Computer Networks and Communications 64
- Computer Science Applications 11
- Management Information Systems 17
Countries citing papers authored by Sergio Moreschini
This map shows the geographic impact of Sergio Moreschini'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 Sergio Moreschini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Moreschini more than expected).
Fields of papers citing papers by Sergio Moreschini
This network shows the impact of papers produced by Sergio Moreschini. 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 Sergio Moreschini. The network helps show where Sergio Moreschini may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergio Moreschini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 51 | |
| 2 | 2022 | 14 | |
| 3 | 2022 | 14 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 8 | |
| 6 | 2020 | 7 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 6 | |
| 9 | 2019 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2025 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 2 |
About Sergio Moreschini
Sergio Moreschini is a scholar working on Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Management Information Systems, having authored 30 papers that have together received 163 indexed citations. Recurring topics across this work include Software Engineering Research (10 papers), Cloud Computing and Resource Management (7 papers), IoT and Edge/Fog Computing (6 papers), Software System Performance and Reliability (4 papers), Big Data and Business Intelligence (4 papers), Software Reliability and Analysis Research (4 papers), Context-Aware Activity Recognition Systems (2 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Software (14 citations), Information Systems (75 citations), Computer Networks and Communications (64 citations), Computer Science Applications (11 citations) and Management Information Systems (17 citations). Sergio Moreschini has collaborated with scholars based in Finland, Denmark and Italy. Frequent co-authors include Davide Taibi, David Hästbacka, Xiaozhou Li, Fabiano Pecorelli, Valentina Lenarduzzi, Robert Bregović, Zheying Zhang, Fabio Palomba, Atanas Gotchev and Dario Di Nucci. Their work appears in journals such as Journal of Systems and Software, Empirical Software Engineering, Computing, Data in Brief and IEEE Access.
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.