G.A. Di Lucca

2.4k total citations
89 papers, 1.6k citations indexed

About

G.A. Di Lucca is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, G.A. Di Lucca has authored 89 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Information Systems, 41 papers in Software and 30 papers in Artificial Intelligence. Recurrent topics in G.A. Di Lucca's work include Software Engineering Research (48 papers), Advanced Software Engineering Methodologies (26 papers) and Web Applications and Data Management (25 papers). G.A. Di Lucca is often cited by papers focused on Software Engineering Research (48 papers), Advanced Software Engineering Methodologies (26 papers) and Web Applications and Data Management (25 papers). G.A. Di Lucca collaborates with scholars based in Italy, Netherlands and Canada. G.A. Di Lucca's co-authors include Anna Rita Fasolino, Massimiliano Di Penta, Porfirio Tramontana, U. De Carlini, Andrea De Lucia, Mario Luca Bernardi, A. Cimitile, Gerardo Canfora, Damiano Distante and Marta Cimitile and has published in prestigious journals such as IEEE Transactions on Software Engineering, Journal of Systems and Software and Information and Software Technology.

In The Last Decade

G.A. Di Lucca

86 papers receiving 1.4k citations

Peers

G.A. Di Lucca
Comparison fields: 5 of 65
  • Information Systems 1.3k
  • Software 753
  • Artificial Intelligence 455
  • Computer Networks and Communications 429
  • Signal Processing 195
Replace Stan Jarzabek with:
Stan Jarzabek Singapore
Sarah Nadi Canada
Mark Grechanik United States
Norman Wilde United States
Mariano Ceccato Italy
Porfirio Tramontana Italy
Laurence Duchien France
Márcio Ribeiro Brazil
Kostas Kontogiannis Canada
Michael L. Collard United States
Stan Jarzabek Singapore View profile →
Citations per field, relative to G.A. Di Lucca
G.A. Di Lucca · 1×
Citations per year, relative to G.A. Di Lucca
G.A. Di Lucca · 1×

Countries citing papers authored by G.A. Di Lucca

Since Specialization
Citations

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

Fields of papers citing papers by G.A. Di Lucca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.A. Di Lucca. 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 G.A. Di Lucca. The network helps show where G.A. Di Lucca may publish in the future.

Co-authorship network of co-authors of G.A. Di Lucca

This figure shows the co-authorship network connecting the top 25 collaborators of G.A. Di Lucca. A scholar is included among the top collaborators of G.A. Di Lucca 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 G.A. Di Lucca. G.A. Di Lucca 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
# Work Indexed citations
1 5
2 25
3 14
4 2
5 4
6 1
7 12
8 8
9
Supporting the Comprehension of Object-oriented Software Systems by Extended M-M Graph.
0
10 10
11 55
12
Identifying Reusable Components in Web Applications
3
13 38
14 65
15 11
16 10
17 49
18 4
19
Recovering object classes and inheritance relationships from existing code.
2
20
An approach to Reuse Reengineering of Existing Software
3

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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