Daniel Petit

45 papers receiving 603 citations

Peers

Daniel Petit
Comparison fields: 5 of 52
  • Statistics, Probability and Uncertainty 137
  • Statistical and Nonlinear Physics 207
  • Mathematical Physics 143
  • Computational Mechanics 168
  • Energy Engineering and Power Technology 20
Replace Kevin J. Dowding with:
Kevin J. Dowding United States
Manuel Girault France
Y. Jarny France
Ching-yu Yang Taiwan
Pierre Gosselet France
Cheng-Hung Huang Taiwan
M. Shadi Mohamed United Kingdom
Cheng-Hung Huang Taiwan
Éric Florentin France
F. Chinesta France
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Countries citing papers authored by Daniel Petit

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Petit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Daniel Petit, 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 Daniel Petit Line = papers co-authored together Daniel Petit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200144
2 200440
3 200937
4 200036
5 199736
6 201435
7 200431
8 200826
9 200624
10 200723
11 200320
12 200419
13 201319
14 200618
15 200015
16 200515
17 201015
18 199515
19 199014
20 200612

About Daniel Petit

Daniel Petit is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics, Mechanics of Materials, Computational Mechanics and Statistics, Probability and Uncertainty, having authored 47 papers that have together received 628 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (20 papers), Numerical methods in inverse problems (17 papers), Probabilistic and Robust Engineering Design (9 papers), Thermography and Photoacoustic Techniques (7 papers), Control Systems and Identification (6 papers), Structural Health Monitoring Techniques (6 papers), Radiative Heat Transfer Studies (4 papers) and Magnetic Properties and Applications (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (137 citations), Statistical and Nonlinear Physics (207 citations), Mathematical Physics (143 citations), Computational Mechanics (168 citations) and Energy Engineering and Power Technology (20 citations). Daniel Petit has collaborated with scholars based in France, Tunisia and United States. Frequent co-authors include Manuel Girault, Yann Favennec, Richard Pasquetti, Didier Saury, D. Veyret, Yves Bertin, Abdelmajid Jemni, Christophe Le Niliot, Fabrice Rigollet and Sassi Ben Nasrallah. Their work appears in journals such as International Journal of Heat and Mass Transfer, Inverse Problems in Science and Engineering, International Journal of Thermal Sciences, International Journal for Numerical Methods in Engineering and Numerical Heat Transfer Part B Fundamentals.

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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