Giovanni Lagorio

909 citations
30 papers · 309 indexed · h-index 8
Topics
Logic, programming, and type systems (19 papers)Software Engineering Research (16 papers)Advanced Software Engineering Methodologies (10 papers)
Journals
SHILAP Revista de lepidopterologíaTheoretical Computer ScienceACM SIGPLAN Notices
Partner nations
ItalyUnited Kingdom

In The Last Decade

Giovanni Lagorio

30 papers receiving 293 citations

Peers

Giovanni Lagorio
Comparison fields: 5 of 37
  • Artificial Intelligence 228
  • Information Systems 123
  • Signal Processing 79
  • Computer Networks and Communications 62
  • Computational Theory and Mathematics 61
Replace Giuseppe Antonio Di Luna with:
Giuseppe Antonio Di Luna Italy
Mehrdad Aliasgari United States
Amit Manjhi United States
Meng Wu China
Huijia Lin United States
Sumant Kowshik United States
Shagufta Mehnaz United States
Shinjo Park Germany
Gyungho Lee United States
Sebastian Österlund Netherlands
Giovanni Lagorio relative to Giuseppe Antonio Di Luna Italy Giuseppe Antonio Di Luna's profile →
Citations per field
00.5×
Giuseppe Antonio Di Luna · 1×
Citations per year

Countries citing papers authored by Giovanni Lagorio

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Lagorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Lagorio

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Lagorio. A scholar is included among the top collaborators of Giovanni Lagorio 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 Giovanni Lagorio. Giovanni Lagorio 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 5
3 6
4 12
5 11
6 2
7 5
8 3
9 2
10
Customizable composition operators for Java-like classes.
3
11 2
12 3
13 4
14 3
15 46
16
Stronger Typings for Separate Compilation of Java-like Languages (Extended Abstract)
3
17 44
18 15
19 17
20 5

About Giovanni Lagorio

Giovanni Lagorio is a scholar working on Software, Information Systems and Artificial Intelligence, having authored 30 papers that have together received 309 indexed citations. Recurring topics across this work include Logic, programming, and type systems (19 papers), Software Engineering Research (16 papers) and Advanced Software Engineering Methodologies (10 papers). The work is most often cited by research in Software (28 citations), Signal Processing (79 citations) and Artificial Intelligence (228 citations). Giovanni Lagorio has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include Davide Ancona, Elena Zucca, Luca Demetrio, Alessandro Armando, Fabio Roli, Battista Biggio, Alberto Traverso, Walter Cazzola, Aristide F. Massardo and Scott E. Coull. Their work appears in journals such as SHILAP Revista de lepidopterología, Theoretical Computer Science and ACM SIGPLAN Notices.

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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