Umberto Alibrandi

67 total papers · 769 total citations
43 papers, 544 citations indexed

About

Umberto Alibrandi is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Environmental Engineering. According to data from OpenAlex, Umberto Alibrandi has authored 43 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics, Probability and Uncertainty, 21 papers in Civil and Structural Engineering and 8 papers in Environmental Engineering. Recurrent topics in Umberto Alibrandi's work include Probabilistic and Robust Engineering Design (25 papers), Structural Health Monitoring Techniques (17 papers) and Wind and Air Flow Studies (5 papers). Umberto Alibrandi is often cited by papers focused on Probabilistic and Robust Engineering Design (25 papers), Structural Health Monitoring Techniques (17 papers) and Wind and Air Flow Studies (5 papers). Umberto Alibrandi collaborates with scholars based in Singapore, Denmark and Italy. Umberto Alibrandi's co-authors include Giuseppe Ricciardi, Khalid M. Mosalam, C. G. Koh, Amir M. Alani, Armen Der Kiureghian, Jaume Armengou, N. Impollonia, Hyerin Lee, Giovanni Finocchio and M. Chiappini and has published in prestigious journals such as Applied Physics Letters, Scientific Reports and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Umberto Alibrandi

40 papers receiving 531 citations

Author Peers

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

Author						Papers	Cites
Umberto Alibrandi	321	288	85	83	81	43	544
Shigeru Nakagiri	291 0.9×	370 1.3×	29 0.3×	136 1.6×	62 0.8×	53	515
Tanmoy Chatterjee	228 0.7×	189 0.7×	71 0.8×	54 0.7×	30 0.4×	31	499
Manuel Pellissetti	477 1.5×	348 1.2×	21 0.2×	123 1.5×	82 1.0×	24	581
Mansour Bagheri	210 0.7×	356 1.2×	20 0.2×	148 1.8×	29 0.4×	23	596
Jie Wu	110 0.3×	185 0.6×	53 0.6×	33 0.4×	34 0.4×	53	468
Bouchaïb Radi	143 0.4×	98 0.3×	31 0.4×	94 1.1×	22 0.3×	74	450
G. L. Giles	232 0.7×	181 0.6×	14 0.2×	168 2.0×	24 0.3×	37	558
Bo Ping Wang	256 0.8×	319 1.1×	35 0.4×	234 2.8×	43 0.5×	45	594
Felix S. Wong	178 0.6×	354 1.2×	77 0.9×	128 1.5×	22 0.3×	35	616
Wenbo Zhang	135 0.4×	256 0.9×	89 1.0×	87 1.0×	8 0.1×	33	520

Countries citing papers authored by Umberto Alibrandi

Since Specialization

Citations

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

Fields of papers citing papers by Umberto Alibrandi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umberto Alibrandi

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