Francesco Lavini

18 total papers · 572 total citations
12 papers, 444 citations indexed

About

Francesco Lavini is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Francesco Lavini has authored 12 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 4 papers in Atomic and Molecular Physics, and Optics and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Francesco Lavini's work include Graphene research and applications (7 papers), Diamond and Carbon-based Materials Research (4 papers) and Force Microscopy Techniques and Applications (4 papers). Francesco Lavini is often cited by papers focused on Graphene research and applications (7 papers), Diamond and Carbon-based Materials Research (4 papers) and Force Microscopy Techniques and Applications (4 papers). Francesco Lavini collaborates with scholars based in United States, Italy and Czechia. Francesco Lavini's co-authors include Elisa Riedo, Martin Rejhon, Adam Goad, Guo‐Ming Weng, Esther H. R. Tsai, Jason A. Röhr, Jaemin Kong, Kathleen Maleski, Jason Lipton and Yury Gogotsi and has published in prestigious journals such as Nature Communications, Nature Nanotechnology and Nanoscale.

In The Last Decade

Francesco Lavini

12 papers receiving 439 citations

Author Peers

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

Author						Papers	Cites
Francesco Lavini	342	109	103	102	60	12	444
Amirmahdi Mohammadzadeh	299 0.9×	100 0.9×	127 1.2×	59 0.6×	41 0.7×	11	391
Hong‐Tao Zhang	226 0.7×	122 1.1×	74 0.7×	51 0.5×	55 0.9×	16	378
J. Leib	268 0.8×	124 1.1×	138 1.3×	67 0.7×	14 0.2×	17	414
Z. Bayindir	196 0.6×	66 0.6×	71 0.7×	68 0.7×	50 0.8×	21	404
S. Sreekala	339 1.0×	86 0.8×	81 0.8×	138 1.4×	22 0.4×	10	493
Chun-Wen Wang	185 0.5×	152 1.4×	46 0.4×	93 0.9×	126 2.1×	9	424
B. Garke	299 0.9×	155 1.4×	86 0.8×	73 0.7×	9 0.1×	16	458
Yuehui Xian	264 0.8×	96 0.9×	42 0.4×	76 0.7×	17 0.3×	16	374
Chong Kim Ong	146 0.4×	162 1.5×	152 1.5×	90 0.9×	18 0.3×	20	370
Quoc Huy Thi	324 0.9×	123 1.1×	38 0.4×	80 0.8×	11 0.2×	20	412

Countries citing papers authored by Francesco Lavini

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Lavini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Lavini

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