Aldo Dagnino

913 citations
40 papers · 574 indexed · h-index 11
Topics
Software Engineering Techniques and Practices (13 papers)Software Engineering Research (12 papers)Advanced Software Engineering Methodologies (7 papers)

In The Last Decade

Aldo Dagnino

40 papers receiving 515 citations

Peers

Aldo Dagnino
Comparison fields: 5 of 78
  • Information Systems 327
  • Artificial Intelligence 171
  • Computer Networks and Communications 109
  • Management Information Systems 87
  • Management of Technology and Innovation 72
Replace Mahdi Fahmideh with:
Mahdi Fahmideh Australia
Marie-Pierre Gleizes France
Mihhail Matskin Sweden
Miguel R. Luaces Spain
Everton Cavalcante Brazil
Günther Ruhe Canada
Káthia Marçal de Oliveira Brazil
Vasileios Gkioulos Norway
Samuel A. Ajila Canada
Suntae Kim South Korea
Aldo Dagnino relative to Mahdi Fahmideh Australia Mahdi Fahmideh's profile →
Citations per field
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Mahdi Fahmideh · 1×
Citations per year

Countries citing papers authored by Aldo Dagnino

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Aldo Dagnino

This figure shows the co-authorship network connecting the top 25 collaborators of Aldo Dagnino. A scholar is included among the top collaborators of Aldo Dagnino 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 Aldo Dagnino. Aldo Dagnino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 39
3 5
4 4
5 1
6
Industrial Analytics to Discover Knowledge from Instrumented Networked Machines.
4
7 42
8 1
9 12
10 2
11 13
12 2
13 38
14
Forecasting Fault Events in Power Distribution Grids Using Machine Learning.
3
15
Experiences in applying agile software development practices in new product development.
10
16
On Identifying Deficiencies in a Knowledge Management System.
1
17 8
18 57
19 1
20 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) and Advanced Software Engineering Methodologies (7 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.

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