David Lugato

605 citations
15 papers · 336 · h-index 7

Impact in

Papers in

    • Model-Driven Software Engineering Techniques 8
    • Software Testing and Debugging Techniques 3
    • Advanced Software Engineering Methodologies 4
    • Computational Physics and Python Applications 2

David Lugato

15 papers receiving 321 citations

Peers

David Lugato
Comparison fields: 5 of 56
  • Computational Mathematics 67
  • Hardware and Architecture 202
  • Software 57
  • Computer Networks and Communications 114
  • Computer Graphics and Computer-Aided Design 14
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Citations per field
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Citations per year

Countries citing papers authored by David Lugato

Since Specialization
Citations

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

Fields of papers citing papers by David Lugato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside David Lugato, 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 David Lugato Line = papers co-authored together David Lugato links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2017223
2 201732
3 202323
4 200412
5 201212
6 20027
7 20166
8 20046
9 20124
10 20234
11 20132
12 20222
13 20121
14 20131
15 20221

About David Lugato

David Lugato is a scholar working on Software, Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 15 papers that have together received 336 indexed citations. Recurring topics across this work include Model-Driven Software Engineering Techniques (8 papers), Advanced Software Engineering Methodologies (4 papers), Parallel Computing and Optimization Techniques (3 papers), Software Testing and Debugging Techniques (3 papers), Probabilistic and Robust Engineering Design (2 papers), Computational Physics and Python Applications (2 papers), Service-Oriented Architecture and Web Services (2 papers) and Simulation Techniques and Applications (2 papers). The work is most often cited by research in Computational Mathematics (67 citations), Hardware and Architecture (202 citations), Software (57 citations), Computer Networks and Communications (114 citations) and Computer Graphics and Computer-Aided Design (14 citations). David Lugato has collaborated with scholars based in France, United States and Austria. Frequent co-authors include Shoaib Kamil, Saman Amarasinghe, Fredrik Kjølstad, Stephen Y. Chou, Gaël Poëtte, Pietro Marco Congedo, Marc Palyart, Ileana Ober, Jean‐Michel Bruel and François Terrier. Their work appears in journals such as Journal of Computational Physics, Proceedings of the ACM on Programming Languages, International Journal on Software Tools for Technology Transfer, Software & Systems Modeling and Journal of Scientific Computing.

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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