Vincenzo Ferme

823 citations
24 papers · 425 indexed · h-index 13
Topics
Software System Performance and Reliability (15 papers)Software Engineering Research (11 papers)Software Reliability and Analysis Research (8 papers)
Partner nations
SwitzerlandItalyGermany

In The Last Decade

Vincenzo Ferme

23 papers receiving 414 citations

Peers

Vincenzo Ferme
Comparison fields: 5 of 40
  • Information Systems 355
  • Software 232
  • Computer Networks and Communications 197
  • Artificial Intelligence 91
  • Signal Processing 45
Replace Péter Hegedűs with:
Péter Hegedűs Hungary
Girish Suryanarayana Germany
Byron J. Williams United States
Zhiyi Ma China
Csaba Nagy Switzerland
Aleš Živkovič Slovenia
Lars Heinemann Germany
Chuan Duan United States
Daniel Alencar da Costa New Zealand
Francis Palma Canada
Vincenzo Ferme relative to Péter Hegedűs Hungary Péter Hegedűs's profile →
Citations per field
00.5×1.5×
Péter Hegedűs · 1×
Citations per year

Countries citing papers authored by Vincenzo Ferme

Since Specialization
Citations

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

Fields of papers citing papers by Vincenzo Ferme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincenzo Ferme

This figure shows the co-authorship network connecting the top 25 collaborators of Vincenzo Ferme. A scholar is included among the top collaborators of Vincenzo Ferme 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 Vincenzo Ferme. Vincenzo Ferme 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 31
2 14
3 39
4 14
5 23
6 17
7 2
8 3
9 11
10 8
11 1
12
BPMeter: Web Service and Application for Static Analysis of BPMN 2.0 Collections
2
13 10
14 34
15 15
16 12
17 73
18 30
19
Benchmarking Workflow Management Systems.
0
20 37

About Vincenzo Ferme

Vincenzo Ferme is a scholar working on Software, Information Systems and Computer Networks and Communications, having authored 24 papers that have together received 425 indexed citations. Recurring topics across this work include Software System Performance and Reliability (15 papers), Software Engineering Research (11 papers) and Software Reliability and Analysis Research (8 papers). The work is most often cited by research in Software (232 citations), Information Systems (355 citations) and Computer Networks and Communications (197 citations). Vincenzo Ferme has collaborated with scholars based in Switzerland, Italy and Germany. Frequent co-authors include Francesca Arcelli Fontana, Marco Zanoni, Cesare Pautasso, Riccardo Roveda, Bartosz Walter, André van Hoorn, Aiko Yamashita, Alessandro Marino, Andrea Janes and Alberto Avritzer. Their work appears in journals such as IEEE Access, Journal of Systems and Software and View.

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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