Antonio Forcina

82 total papers · 1.3k total citations
43 papers, 663 citations indexed

About

Antonio Forcina is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Antonio Forcina has authored 43 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 6 papers in Economics and Econometrics. Recurrent topics in Antonio Forcina's work include Statistical Methods and Bayesian Inference (17 papers), Statistical Methods and Inference (13 papers) and Bayesian Modeling and Causal Inference (7 papers). Antonio Forcina is often cited by papers focused on Statistical Methods and Bayesian Inference (17 papers), Statistical Methods and Inference (13 papers) and Bayesian Modeling and Causal Inference (7 papers). Antonio Forcina collaborates with scholars based in Italy, Germany and Canada. Antonio Forcina's co-authors include Valentino Dardanoni, Francesco Bartolucci, Roberto Colombi, Andrea Siracusa, Robin J. Evans, Alessandra Marabini, Ilenia Folletti, Piero Borgia, Eliana Ferroni and Elena Stanghellini and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Biometrika.

In The Last Decade

Antonio Forcina

39 papers receiving 600 citations

Author Peers

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

Author						Papers	Cites
Antonio Forcina	338	164	106	90	70	43	663
Carla Rampichini	296 0.9×	86 0.5×	134 1.3×	88 1.0×	78 1.1×	42	763
Michel Mouchart	225 0.7×	167 1.0×	197 1.9×	99 1.1×	63 0.9×	72	789
Leonardo Grilli	211 0.6×	50 0.3×	163 1.5×	60 0.7×	130 1.9×	54	758
Yves Tillé	346 1.0×	154 0.9×	147 1.4×	59 0.7×	132 1.9×	71	779
Andreas Alfons	255 0.8×	114 0.7×	79 0.7×	60 0.7×	76 1.1×	33	621
Fritz Scheuren	158 0.5×	169 1.0×	69 0.7×	251 2.8×	114 1.6×	33	601
M. R. Sampford	307 0.9×	105 0.6×	39 0.4×	103 1.1×	28 0.4×	15	698
Jeroen Pannekoek	203 0.6×	228 1.4×	54 0.5×	87 1.0×	131 1.9×	25	771
Gad Nathan	293 0.9×	74 0.5×	70 0.7×	42 0.5×	176 2.5×	23	592
Rosângela H. Loschi	235 0.7×	129 0.8×	68 0.6×	45 0.5×	9 0.1×	57	558

Countries citing papers authored by Antonio Forcina

Since Specialization

Citations

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

Fields of papers citing papers by Antonio Forcina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Forcina

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