David Lugato

594 total citations
15 papers, 325 citations indexed

About

David Lugato is a scholar working on Software, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, David Lugato has authored 15 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Software, 7 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in David Lugato's work include Model-Driven Software Engineering Techniques (8 papers), Advanced Software Engineering Methodologies (4 papers) and Parallel Computing and Optimization Techniques (3 papers). David Lugato is often cited by papers focused on Model-Driven Software Engineering Techniques (8 papers), Advanced Software Engineering Methodologies (4 papers) and Parallel Computing and Optimization Techniques (3 papers). David Lugato collaborates with scholars based in France, United States and Austria. David Lugato's co-authors include Saman Amarasinghe, Shoaib Kamil, Stephen Y. Chou, Fredrik Kjølstad, Pietro Marco Congedo, Gaël Poëtte, Marc Palyart, Jean‐Michel Bruel, Ileana Ober and Sébastien Gérard and has published in prestigious journals such as Journal of Computational Physics, Journal of Scientific Computing and Software & Systems Modeling.

In The Last Decade

David Lugato

15 papers receiving 310 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Lugato France 7 200 112 108 67 65 15 325
Oleksandr Zinenko United States 6 256 1.3× 120 1.1× 132 1.2× 19 0.3× 58 0.9× 11 373
Jacques A. Pienaar United States 8 243 1.2× 145 1.3× 113 1.0× 12 0.2× 58 0.9× 8 369
Mehdi Amini United States 5 198 1.0× 105 0.9× 124 1.1× 12 0.2× 50 0.8× 6 316
Oded Padon United States 9 101 0.5× 136 1.2× 217 2.0× 19 0.3× 80 1.2× 28 388
Weixing Ji China 11 223 1.1× 271 2.4× 74 0.7× 16 0.2× 43 0.7× 62 397
Jeffrey Bosboom United States 5 255 1.3× 164 1.5× 91 0.8× 9 0.1× 72 1.1× 9 356
Luke Hornof United States 9 163 0.8× 108 1.0× 198 1.8× 8 0.1× 61 0.9× 15 312
Cédric Bastoul France 9 436 2.2× 307 2.7× 107 1.0× 5 0.1× 41 0.6× 18 496
Guoyang Chen United States 10 324 1.6× 279 2.5× 71 0.7× 9 0.1× 85 1.3× 22 432
Carl Yang United States 10 150 0.8× 130 1.2× 137 1.3× 5 0.1× 215 3.3× 12 304

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-authorship network of co-authors of David Lugato

This figure shows the co-authorship network connecting the top 25 collaborators of David Lugato. A scholar is included among the top collaborators of David Lugato 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 David Lugato. David Lugato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Poëtte, Gaël, et al.. (2023). Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees). Journal of Computational Physics. 498. 112700–112700. 3 indexed citations
2.
Poëtte, Gaël, et al.. (2023). Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning. Journal of Scientific Computing. 94(3). 20 indexed citations
3.
Poëtte, Gaël, et al.. (2022). Accelerating Hypersonic Reentry Simulations Using Deep Learning-Based Hybridization (with Guarantees). SSRN Electronic Journal. 2 indexed citations
4.
Poëtte, Gaël, et al.. (2022). LEVERAGING LOCAL VARIATION IN DATA: SAMPLING AND WEIGHTING SCHEMES FOR SUPERVISED DEEP LEARNING. arXiv (Cornell University). 3(1). 77–105. 1 indexed citations
5.
Kjølstad, Fredrik, Stephen Y. Chou, David Lugato, Shoaib Kamil, & Saman Amarasinghe. (2017). Taco: A tool to generate tensor algebra kernels. 943–948. 31 indexed citations
6.
Kjølstad, Fredrik, Shoaib Kamil, Stephen Y. Chou, David Lugato, & Saman Amarasinghe. (2017). The tensor algebra compiler. Proceedings of the ACM on Programming Languages. 1(OOPSLA). 1–29. 217 indexed citations
7.
Ober, Ileana, Marc Palyart, Jean‐Michel Bruel, & David Lugato. (2016). On the use of models for high-performance scientific computing applications: an experience report. Software & Systems Modeling. 17(1). 319–342. 6 indexed citations
8.
Lugato, David, et al.. (2013). Enhancing version control with domain-specific semantics. 31–36. 1 indexed citations
9.
Lugato, David, et al.. (2013). Enhancing version control with domain-specific semantics. 9. 31–36. 2 indexed citations
10.
Ober, Ileana, Aniruddha Gokhale, Geri Georg, et al.. (2012). MDHPCL 2012 workshop summary. 1–2. 1 indexed citations
11.
Lugato, David, et al.. (2012). Domain specific modeling for operations research simulation in a large industrial context. 19–24. 4 indexed citations
12.
Palyart, Marc, Ileana Ober, David Lugato, & Jean‐Michel Bruel. (2012). HPCML. 1–6. 12 indexed citations
13.
Lugato, David, et al.. (2004). Automated functional test case synthesis from THALES industrial requirements. 104–111. 6 indexed citations
14.
Lugato, David, et al.. (2004). Validation and automatic test generation on UML models: the AGATHA approach. International Journal on Software Tools for Technology Transfer. 5(2-3). 124–139. 12 indexed citations
15.
Lugato, David, et al.. (2002). Validation and automatic test generation on UML models. Electronic Notes in Theoretical Computer Science. 66(2). 33–49. 7 indexed citations

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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