Paolo Nicolini

54 total papers · 1.6k total citations
41 papers, 794 citations indexed

About

Paolo Nicolini is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Statistical and Nonlinear Physics. According to data from OpenAlex, Paolo Nicolini has authored 41 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atomic and Molecular Physics, and Optics, 15 papers in Materials Chemistry and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Paolo Nicolini's work include Force Microscopy Techniques and Applications (12 papers), 2D Materials and Applications (7 papers) and Advanced Thermodynamics and Statistical Mechanics (7 papers). Paolo Nicolini is often cited by papers focused on Force Microscopy Techniques and Applications (12 papers), 2D Materials and Applications (7 papers) and Advanced Thermodynamics and Statistical Mechanics (7 papers). Paolo Nicolini collaborates with scholars based in Czechia, Italy and United Kingdom. Paolo Nicolini's co-authors include Tomáš Polcar, Diego Frezzato, Riccardo Chelli, Victor E. P. Claerbout, R. Conti, Denis Kramer, Mengzhou Liao, Rong Yang, Guangyu Zhang and Luojun Du and has published in prestigious journals such as The Journal of Chemical Physics, Nature Materials and ACS Nano.

In The Last Decade

Paolo Nicolini

39 papers receiving 769 citations

Hit Papers

UItra-low friction and ed... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Paolo Nicolini 392 248 205 149 96 41 794
E. Beaugnon 164 0.4× 74 0.3× 101 0.5× 118 0.8× 119 1.2× 24 887
Anders Lervik 242 0.6× 222 0.9× 41 0.2× 49 0.3× 68 0.7× 41 847
Kohei Otomo 99 0.3× 76 0.3× 160 0.8× 80 0.5× 52 0.5× 48 783
Kranthi K. Mandadapu 212 0.5× 198 0.8× 41 0.2× 59 0.4× 35 0.4× 47 853
Martin Klein 236 0.6× 190 0.8× 122 0.6× 308 2.1× 58 0.6× 51 866
M. Ataka 446 1.1× 121 0.5× 102 0.5× 129 0.9× 196 2.0× 48 872
Yair Shokef 232 0.6× 145 0.6× 47 0.2× 331 2.2× 20 0.2× 39 1.0k
H See 224 0.6× 79 0.3× 65 0.3× 88 0.6× 61 0.6× 23 942
R. W. Pryor 727 1.9× 134 0.5× 241 1.2× 85 0.6× 335 3.5× 34 1.0k
Duan Chen 320 0.8× 131 0.5× 58 0.3× 52 0.3× 221 2.3× 37 763

Countries citing papers authored by Paolo Nicolini

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Nicolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Nicolini

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