David Catalini

18 total papers · 408 total citations
8 papers, 313 citations indexed

About

David Catalini is a scholar working on Materials Chemistry, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, David Catalini has authored 8 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 3 papers in Mechanical Engineering and 1 paper in Automotive Engineering. Recurrent topics in David Catalini's work include Thermal Expansion and Ionic Conductivity (3 papers), Shape Memory Alloy Transformations (2 papers) and Advanced materials and composites (2 papers). David Catalini is often cited by papers focused on Thermal Expansion and Ionic Conductivity (3 papers), Shape Memory Alloy Transformations (2 papers) and Advanced materials and composites (2 papers). David Catalini collaborates with scholars based in United States, China and United Kingdom. David Catalini's co-authors include Reinhard Radermacher, Yunho Hwang, Ichiro Takeuchi, Suxin Qian, Huilong Hou, Jan Muehlbauer, Boyang Liu, G.J. Grant, Djamel Kaoumi and A. P. Reynolds and has published in prestigious journals such as Science, Metallurgical and Materials Transactions A and Journal of Nuclear Materials.

In The Last Decade

David Catalini

8 papers receiving 304 citations

Hit Papers

High-performance multimod... 2023 2026 2024 2023 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Catalini 246 119 72 36 30 8 313
Parham Kabirifar 304 1.2× 114 1.0× 105 1.5× 54 1.5× 40 1.3× 10 345
Thierry Alonso 211 0.9× 122 1.0× 90 1.3× 18 0.5× 42 1.4× 16 336
Antoine Viard 195 0.8× 153 1.3× 46 0.6× 10 0.3× 46 1.5× 11 351
D.E. Motaung 254 1.0× 116 1.0× 78 1.1× 23 0.6× 30 1.0× 17 360
Mincheng Yang 243 1.0× 61 0.5× 82 1.1× 27 0.8× 15 0.5× 8 331
G. Motz 152 0.6× 58 0.5× 37 0.5× 14 0.4× 35 1.2× 15 305
Caixiang Xiao 145 0.6× 120 1.0× 69 1.0× 15 0.4× 60 2.0× 19 282
Xirui Liu 238 1.0× 70 0.6× 58 0.8× 47 1.3× 38 1.3× 12 340
Ziyang Wang 213 0.9× 115 1.0× 50 0.7× 9 0.3× 38 1.3× 14 319
John Sykes 237 1.0× 41 0.3× 68 0.9× 76 2.1× 25 0.8× 17 321

Countries citing papers authored by David Catalini

Since Specialization
Citations

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

Fields of papers citing papers by David Catalini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Catalini

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

All Works

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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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