Lucio Barabesi

137 total papers · 1.4k total citations
91 papers, 1.0k citations indexed

About

Lucio Barabesi is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Lucio Barabesi has authored 91 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Statistics and Probability, 15 papers in Statistics, Probability and Uncertainty and 14 papers in Artificial Intelligence. Recurrent topics in Lucio Barabesi's work include Survey Sampling and Estimation Techniques (12 papers), Statistical Distribution Estimation and Applications (11 papers) and Bayesian Methods and Mixture Models (8 papers). Lucio Barabesi is often cited by papers focused on Survey Sampling and Estimation Techniques (12 papers), Statistical Distribution Estimation and Applications (11 papers) and Bayesian Methods and Mixture Models (8 papers). Lucio Barabesi collaborates with scholars based in Italy, Canada and United States. Lucio Barabesi's co-authors include Marzia Marcheselli, Sara Franceschi, Lorenzo Fattorini, Alberto Baccini, Caterina Pisani, Andrea Cerioli, Domenico Perrotta, Luca Pratelli, Massimo Massetti and Carlo Sassi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Lucio Barabesi

85 papers receiving 974 citations

Author Peers

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

Author						Papers	Cites
Lucio Barabesi	374	127	124	120	116	91	1.0k
Duane Steffey	317 0.8×	98 0.8×	59 0.5×	125 1.0×	48 0.4×	28	1.1k
J. Sedransk	417 1.1×	52 0.4×	42 0.3×	141 1.2×	101 0.9×	68	960
Brian L. Joiner	249 0.7×	31 0.2×	87 0.7×	76 0.6×	90 0.8×	41	1.2k
Nedret Billor	308 0.8×	13 0.1×	158 1.3×	109 0.9×	114 1.0×	44	1.1k
Ting‐Li Su	173 0.5×	23 0.2×	27 0.2×	109 0.9×	62 0.5×	36	935
John M. Grego	187 0.5×	86 0.7×	39 0.3×	89 0.7×	107 0.9×	30	1000
G. Enderlein	134 0.4×	27 0.2×	57 0.5×	86 0.7×	40 0.3×	58	878
Gottfried E. Noether	360 1.0×	28 0.2×	94 0.8×	105 0.9×	27 0.2×	50	976
Ravindra Khattree	357 1.0×	16 0.1×	91 0.7×	124 1.0×	25 0.2×	83	984
Richard M. Heiberger	154 0.4×	19 0.1×	59 0.5×	107 0.9×	105 0.9×	42	1.1k

Countries citing papers authored by Lucio Barabesi

Since Specialization

Citations

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

Fields of papers citing papers by Lucio Barabesi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucio Barabesi

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