Stefano Martiniani

68 total papers · 893 total citations
25 papers, 487 citations indexed

About

Stefano Martiniani is a scholar working on Condensed Matter Physics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Stefano Martiniani has authored 25 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Condensed Matter Physics, 8 papers in Molecular Biology and 8 papers in Materials Chemistry. Recurrent topics in Stefano Martiniani's work include Theoretical and Computational Physics (6 papers), Protein Structure and Dynamics (6 papers) and Advanced Thermodynamics and Statistical Mechanics (5 papers). Stefano Martiniani is often cited by papers focused on Theoretical and Computational Physics (6 papers), Protein Structure and Dynamics (6 papers) and Advanced Thermodynamics and Statistical Mechanics (5 papers). Stefano Martiniani collaborates with scholars based in United States, United Kingdom and Israel. Stefano Martiniani's co-authors include David J. Wales, Jacob D. Stevenson, Daan Frenkel, P. M. Chaikin, Dov Levine, Brian C. O’Regan, Assaf Y. Anderson, K. J. Schrenk, C.W. Law and Andrew J. Ballard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Stefano Martiniani

24 papers receiving 478 citations

Author Peers

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

Author Last Decade Papers Cites
Stefano Martiniani 229 103 102 98 79 25 487
Yannick De Decker 131 0.6× 120 1.2× 41 0.4× 52 0.5× 83 1.1× 50 471
Pedro Téllez 170 0.7× 88 0.9× 16 0.2× 214 2.2× 81 1.0× 11 457
Nathan Clisby 165 0.7× 64 0.6× 8 0.1× 213 2.2× 93 1.2× 27 479
Daniel Maria Busiello 116 0.5× 282 2.7× 10 0.1× 37 0.4× 65 0.8× 35 535
Chase E. Zachary 291 1.3× 48 0.5× 12 0.1× 217 2.2× 64 0.8× 13 544
Peilong Chen 121 0.5× 60 0.6× 13 0.1× 53 0.5× 87 1.1× 45 536
Rocco Gaudenzi 158 0.7× 43 0.4× 17 0.2× 78 0.8× 38 0.5× 17 489
P. Clippe 129 0.6× 66 0.6× 16 0.2× 176 1.8× 142 1.8× 36 523
Tomoyasu Tanaka 153 0.7× 87 0.8× 29 0.3× 225 2.3× 43 0.5× 42 491
Stefan Schnabel 160 0.7× 52 0.5× 7 0.1× 203 2.1× 67 0.8× 27 416

Countries citing papers authored by Stefano Martiniani

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Martiniani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Martiniani

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