Matteo Alberghini

31 total papers · 503 total citations
20 papers, 394 citations indexed

About

Matteo Alberghini is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Automotive Engineering. According to data from OpenAlex, Matteo Alberghini has authored 20 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Mechanical Engineering, 5 papers in Civil and Structural Engineering and 4 papers in Automotive Engineering. Recurrent topics in Matteo Alberghini's work include Thermal Radiation and Cooling Technologies (5 papers), Solar-Powered Water Purification Methods (4 papers) and Additive Manufacturing Materials and Processes (2 papers). Matteo Alberghini is often cited by papers focused on Thermal Radiation and Cooling Technologies (5 papers), Solar-Powered Water Purification Methods (4 papers) and Additive Manufacturing Materials and Processes (2 papers). Matteo Alberghini collaborates with scholars based in Italy, United States and France. Matteo Alberghini's co-authors include Pietro Asinari, Matteo Fasano, Eliodoro Chiavazzo, Matteo Morciano, Luca Bergamasco, Annalisa Cardellini, Svetlana V. Boriskina, Seyed Hadi Zandavi, Luis Marcelo Lozano and Volodymyr F. Korolovych and has published in prestigious journals such as Journal of Power Sources, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Matteo Alberghini

17 papers receiving 386 citations

Author Peers

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

Author						Papers	Cites
Matteo Alberghini	104	101	93	71	62	20	394
Bencheng Zhao	47 0.5×	152 1.5×	48 0.5×	75 1.1×	97 1.6×	21	443
Yunzheng Liang	267 2.6×	92 0.9×	58 0.6×	65 0.9×	47 0.8×	12	432
Muhammad Javed	71 0.7×	203 2.0×	43 0.5×	51 0.7×	143 2.3×	15	360
Hui Du	76 0.7×	62 0.6×	85 0.9×	87 1.2×	40 0.6×	20	434
Saichao Dang	165 1.6×	185 1.8×	42 0.5×	21 0.3×	115 1.9×	17	415
Zhaoyuan Bai	272 2.6×	70 0.7×	152 1.6×	91 1.3×	18 0.3×	10	444
Pengfei Wei	41 0.4×	56 0.6×	47 0.5×	83 1.2×	32 0.5×	29	387
Weimin Yang	217 2.1×	44 0.4×	55 0.6×	98 1.4×	28 0.5×	19	431
Chaopeng Liu	89 0.9×	19 0.2×	198 2.1×	45 0.6×	26 0.4×	28	402
Taher Hajilounezhad	56 0.5×	22 0.2×	77 0.8×	80 1.1×	15 0.2×	12	374

Countries citing papers authored by Matteo Alberghini

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Alberghini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Alberghini

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