Aldo Dagnino
- Information Systems top 2%
- Software Engineering Techniques and Practices 13
- Software Engineering Research 12
- Data Mining Algorithms and Applications 3
- Software top 10%
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- Big Data and Business Intelligence 3
- Business Process Modeling and Analysis 3
- Computer Science Applications top 10%
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- Advanced Software Engineering Methodologies 7
- Anomaly Detection Techniques and Applications 4
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- Human Mobility and Location-Based Analysis 5
- Co-authors
- Swapna S. GokhaleJohn H R MayTuomo KähkönenJiang ZhengDerek DoranDirk MuthigDaniel KieferMichael Stupperich
- Journals
- Computer (1 paper)IEEE Transactions on Automation Science and Engineering (1 paper)Computers & Electrical Engineering (1 paper)
- Partner nations
- United StatesSwitzerlandSweden
In The Last Decade
Aldo Dagnino
40 papers receiving 515 citations
Peers
Comparison fields: 5 of 78
- Information Systems 327
- Software 45
- Management of Technology and Innovation 72
- Management Information Systems 87
- Computer Science Applications 46
Countries citing papers authored by Aldo Dagnino
This map shows the geographic impact of Aldo Dagnino'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 Aldo Dagnino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aldo Dagnino more than expected).
Fields of papers citing papers by Aldo Dagnino
This network shows the impact of papers produced by Aldo Dagnino. 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 Aldo Dagnino. The network helps show where Aldo Dagnino may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aldo Dagnino, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 2 | |
| 2 | 2018 | 39 | |
| 3 | 2018 | 5 | |
| 4 | 2015 | 4 | |
| 5 | 2015 | 1 | |
| 6 | Industrial Analytics to Discover Knowledge from Instrumented Networked Machines. | 2014 | 4 |
| 7 | 2014 | 42 | |
| 8 | 2014 | 1 | |
| 9 | 2014 | 12 | |
| 10 | 2014 | 2 | |
| 11 | 2014 | 13 | |
| 12 | 2013 | 2 | |
| 13 | 2013 | 38 | |
| 14 | Forecasting Fault Events in Power Distribution Grids Using Machine Learning. | 2012 | 3 |
| 15 | Experiences in applying agile software development practices in new product development. | 2004 | 10 |
| 16 | On Identifying Deficiencies in a Knowledge Management System. | 2003 | 1 |
| 17 | 2003 | 8 | |
| 18 | 2001 | 57 | |
| 19 | 1994 | 1 | |
| 20 | 1987 | 4 |
About Aldo Dagnino
Aldo Dagnino is a scholar working on Software, Computer Science Applications and Information Systems, having authored 40 papers that have together received 574 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (13 papers), Software Engineering Research (12 papers), Advanced Software Engineering Methodologies (7 papers), Human Mobility and Location-Based Analysis (5 papers), Anomaly Detection Techniques and Applications (4 papers), Big Data and Business Intelligence (3 papers), Business Process Modeling and Analysis (3 papers) and Data Mining Algorithms and Applications (3 papers). The work is most often cited by research in Information Systems (327 citations), Software (45 citations) and Management of Technology and Innovation (72 citations). Aldo Dagnino has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Swapna S. Gokhale, John H R May, Tuomo Kähkönen, Jiang Zheng, Derek Doran, Dirk Muthig, Daniel Kiefer, Michael Stupperich, Annie I. Antón and Mikael Lindvall. Their work appears in journals such as Computer, IEEE Transactions on Automation Science and Engineering and Computers & Electrical Engineering.
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.