Matteo Pelliciari

45 total papers · 652 total citations
27 papers, 471 citations indexed

About

Matteo Pelliciari is a scholar working on Civil and Structural Engineering, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Matteo Pelliciari has authored 27 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Civil and Structural Engineering, 11 papers in Biomedical Engineering and 5 papers in Mechanics of Materials. Recurrent topics in Matteo Pelliciari's work include Elasticity and Material Modeling (9 papers), Seismic Performance and Analysis (7 papers) and Structural Analysis and Optimization (6 papers). Matteo Pelliciari is often cited by papers focused on Elasticity and Material Modeling (9 papers), Seismic Performance and Analysis (7 papers) and Structural Analysis and Optimization (6 papers). Matteo Pelliciari collaborates with scholars based in Italy, China and Norway. Matteo Pelliciari's co-authors include Angelo Marcello Tarantino, Stefano Sirotti, Bruno Briseghella, Angelo Aloisio, Giuseppe Carlo Marano, Davide Lavorato, Diego Maria Barbieri, Fusong Wang, Chun-Hsing Ho and Sahra Naseri and has published in prestigious journals such as Construction and Building Materials, Journal of the Mechanics and Physics of Solids and Journal of Affective Disorders.

In The Last Decade

Matteo Pelliciari

25 papers receiving 463 citations

Author Peers

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

Author						Papers	Cites
Matteo Pelliciari	205	111	76	70	70	27	471
Chengyu Wang	132 0.6×	113 1.0×	20 0.3×	12 0.2×	55 0.8×	36	481
Shuqing Hu	114 0.6×	26 0.2×	49 0.6×	56 0.8×	50 0.7×	16	477
Emmanuel Baranger	109 0.5×	54 0.5×	257 3.4×	22 0.3×	20 0.3×	44	459
Xiang Li	177 0.9×	78 0.7×	20 0.3×	33 0.5×	61 0.9×	31	550
Xiao Guo	108 0.5×	19 0.2×	35 0.5×	24 0.3×	80 1.1×	53	411
Daniele Zaccaria	100 0.5×	65 0.6×	128 1.7×	22 0.3×	7 0.1×	40	468
Jaehoon Lee	95 0.5×	56 0.5×	41 0.5×	5 0.1×	24 0.3×	51	471
Xiaoyan Yang	381 1.9×	22 0.2×	78 1.0×	4 0.1×	9 0.1×	39	525
Yajie Deng	194 0.9×	25 0.2×	370 4.9×	19 0.3×	12 0.2×	25	518
A. R. Kemp	399 1.9×	6 0.1×	162 2.1×	14 0.2×	194 2.8×	40	546

Countries citing papers authored by Matteo Pelliciari

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Pelliciari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Pelliciari

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