Ubaldo Garibaldi

71 total papers · 944 total citations
33 papers, 678 citations indexed

About

Ubaldo Garibaldi is a scholar working on Economics and Econometrics, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Ubaldo Garibaldi has authored 33 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Economics and Econometrics, 11 papers in Atomic and Molecular Physics, and Optics and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Ubaldo Garibaldi's work include Complex Systems and Time Series Analysis (14 papers), Economic theories and models (9 papers) and Quantum Mechanics and Applications (7 papers). Ubaldo Garibaldi is often cited by papers focused on Complex Systems and Time Series Analysis (14 papers), Economic theories and models (9 papers) and Quantum Mechanics and Applications (7 papers). Ubaldo Garibaldi collaborates with scholars based in Italy, United Kingdom and United States. Ubaldo Garibaldi's co-authors include R. Spadacini, G.E. Tommei, A.C. Levi, Enrico Scalas, P. Cantini, G. Boato, L. Mattera, Maria Penco, Tijana Radivojević and Paola Monari and has published in prestigious journals such as Surface Science, Physics Letters A and Japanese Journal of Applied Physics.

In The Last Decade

Ubaldo Garibaldi

28 papers receiving 614 citations

Author Peers

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

Author Last Decade Papers Cites
Ubaldo Garibaldi 416 145 114 94 87 33 678
G. Vojta 304 0.7× 27 0.2× 243 2.1× 117 1.2× 117 1.3× 40 683
Jean-Yves Fortin 182 0.4× 154 1.1× 206 1.8× 361 3.8× 111 1.3× 59 745
H. Falk 289 0.7× 38 0.3× 196 1.7× 378 4.0× 174 2.0× 49 769
Daniel F. Styer 295 0.7× 19 0.1× 221 1.9× 121 1.3× 66 0.8× 37 743
William Band 338 0.8× 13 0.1× 217 1.9× 37 0.4× 86 1.0× 40 633
G. Horwitz 321 0.8× 43 0.3× 264 2.3× 364 3.9× 92 1.1× 40 694
Herbert Wagner 302 0.7× 9 0.1× 71 0.6× 308 3.3× 330 3.8× 16 727
Mark Jones 308 0.7× 30 0.2× 261 2.3× 83 0.9× 110 1.3× 21 770
J. A. Nissen 471 1.1× 14 0.1× 246 2.2× 272 2.9× 53 0.6× 33 755
R C Jones 270 0.6× 117 0.8× 187 1.6× 454 4.8× 161 1.9× 33 724

Countries citing papers authored by Ubaldo Garibaldi

Since Specialization
Citations

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

Fields of papers citing papers by Ubaldo Garibaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ubaldo Garibaldi

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