Roberto Minelli

654 citations
31 papers · 451 · h-index 11

Impact in

Papers in

Roberto Minelli

31 papers receiving 437 citations

Peers

Roberto Minelli
Comparison fields: 5 of 50
  • Software 97
  • Computer Science Applications 84
  • Information Systems 339
  • Human-Computer Interaction 53
  • Information Systems and Management 52
Replace YoungSeok Yoon with:
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Tobias Roehm Germany
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Roberto Minelli relative to YoungSeok Yoon United States YoungSeok Yoon's profile →
Citations per field
00.5×3.6×
YoungSeok Yoon · 1×
Citations per year

Countries citing papers authored by Roberto Minelli

Since Specialization
Citations

This map shows the geographic impact of Roberto Minelli'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 Roberto Minelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Minelli more than expected).

Fields of papers citing papers by Roberto Minelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Minelli. 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 Roberto Minelli. The network helps show where Roberto Minelli may publish in the future.

Co-authors

The 9 scholars most cited alongside Roberto Minelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roberto Minelli Line = papers co-authored together Roberto Minelli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015119
2 201370
3 201553
4 201429
5 201420
6 201317
7 202216
8 201315
9 202013
10 202113
11 201611
12 20227
13 20156
14 20146
15 20215
16 20225
17 20215
18 20165
19 20154
20 20234

About Roberto Minelli

Roberto Minelli is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Computer Science Applications, Artificial Intelligence and Computer Networks and Communications, having authored 31 papers that have together received 451 indexed citations. Recurring topics across this work include Software Engineering Research (26 papers), Software Engineering Techniques and Practices (12 papers), Data Visualization and Analytics (11 papers), Open Source Software Innovations (9 papers), Advanced Software Engineering Methodologies (6 papers), Software System Performance and Reliability (4 papers), Scientific Computing and Data Management (3 papers) and Software Testing and Debugging Techniques (2 papers). The work is most often cited by research in Software (97 citations), Computer Science Applications (84 citations), Information Systems (339 citations), Human-Computer Interaction (53 citations) and Information Systems and Management (52 citations). Roberto Minelli has collaborated with scholars based in Switzerland, Spain and Italy. Frequent co-authors include Michele Lanza, Andrea Mocci, Csaba Nagy, Jesús M. González-Barahona, Takashi Kobayashi, Romain Robbes, Paola Forte, Enrico Ciulli and Luca Ponzanelli. Their work appears in journals such as Information and Software Technology, Machines, View, BURJC Digital (King Juan Carlos University) and International Conference on Software 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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