Daniele Stradi

38 total papers · 3.0k total citations
25 papers, 1.0k citations indexed

About

Daniele Stradi is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Daniele Stradi has authored 25 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Materials Chemistry, 14 papers in Atomic and Molecular Physics, and Optics and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Daniele Stradi's work include Graphene research and applications (15 papers), Molecular Junctions and Nanostructures (9 papers) and Surface and Thin Film Phenomena (6 papers). Daniele Stradi is often cited by papers focused on Graphene research and applications (15 papers), Molecular Junctions and Nanostructures (9 papers) and Surface and Thin Film Phenomena (6 papers). Daniele Stradi collaborates with scholars based in Spain, Denmark and Switzerland. Daniele Stradi's co-authors include Kurt Stokbro, Søren Smidstrup, Fernando Martı́n, Cristina Dı́az, Manuel Alcamı́, Manuela Garnica, Amadeo L. Vázquez de Parga, Rodolfo Miranda, Sara Barja and Ulrik Grønbjerg Vej-Hansen and has published in prestigious journals such as Physical Review Letters, Nano Letters and ACS Nano.

In The Last Decade

Daniele Stradi

25 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Daniele Stradi 795 447 413 167 107 25 1.0k
Antonio J. Martínez‐Galera 1.0k 1.3× 420 0.9× 492 1.2× 171 1.0× 88 0.8× 45 1.1k
T. C. Leung 704 0.9× 348 0.8× 435 1.1× 153 0.9× 131 1.2× 37 1.1k
T. Gerber 941 1.2× 362 0.8× 484 1.2× 110 0.7× 79 0.7× 19 1.0k
Ulrich Wurstbauer 699 0.9× 457 1.0× 321 0.8× 181 1.1× 198 1.9× 18 1.1k
Vincent Oison 481 0.6× 427 1.0× 265 0.6× 347 2.1× 101 0.9× 26 870
Jewook Park 849 1.1× 311 0.7× 285 0.7× 146 0.9× 119 1.1× 24 1.0k
Paulo V. C. Medeiros 996 1.3× 485 1.1× 361 0.9× 113 0.7× 191 1.8× 16 1.2k
Héctor González‐Herrero 1.0k 1.3× 293 0.7× 560 1.4× 116 0.7× 147 1.4× 16 1.1k
Michael Kröll 670 0.8× 251 0.6× 335 0.8× 218 1.3× 254 2.4× 21 939
Chuanxu Ma 735 0.9× 366 0.8× 307 0.7× 269 1.6× 56 0.5× 35 946

Countries citing papers authored by Daniele Stradi

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Stradi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Stradi

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Stradi. A scholar is included among the top collaborators of Daniele Stradi 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 Daniele Stradi. Daniele Stradi 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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