Annamaria Guolo

68 total papers · 943 total citations
36 papers, 707 citations indexed

About

Annamaria Guolo is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Annamaria Guolo has authored 36 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 10 papers in Statistics, Probability and Uncertainty and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Annamaria Guolo's work include Statistical Methods and Bayesian Inference (16 papers), Meta-analysis and systematic reviews (9 papers) and Statistical Methods and Inference (8 papers). Annamaria Guolo is often cited by papers focused on Statistical Methods and Bayesian Inference (16 papers), Meta-analysis and systematic reviews (9 papers) and Statistical Methods and Inference (8 papers). Annamaria Guolo collaborates with scholars based in Italy, Brazil and United States. Annamaria Guolo's co-authors include Cristiano Varin, Antonio Toniato, Isabella Merante Boschin, Giuseppe Opocher, Franco Mantero, Mariarosa Pelizzo, Maria Rosa Pelizzo, Andrea Piotto, Raymond J. Carroll and Andrea Mari and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Annamaria Guolo

33 papers receiving 688 citations

Author Peers

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

Author						Papers	Cites
Annamaria Guolo	228	191	173	79	46	36	707
Brian H Willis	147 0.6×	114 0.6×	35 0.2×	111 1.4×	46 1.0×	38	866
Hongyuan Cao	209 0.9×	207 1.1×	101 0.6×	15 0.2×	18 0.4×	63	899
Jane L. Hutton	131 0.6×	32 0.2×	81 0.5×	34 0.4×	39 0.8×	35	899
Sangita Kulathinal	58 0.3×	67 0.4×	185 1.1×	31 0.4×	58 1.3×	58	860
Anne Eisinga	84 0.4×	259 1.4×	29 0.2×	136 1.7×	75 1.6×	18	910
Angelika Geroldinger	116 0.5×	52 0.3×	72 0.4×	14 0.2×	46 1.0×	33	830
Michael J. Zoratti	66 0.3×	52 0.3×	101 0.6×	38 0.5×	118 2.6×	39	757
Luís Meira‐Machado	94 0.4×	50 0.3×	328 1.9×	16 0.2×	78 1.7×	53	894
Yodit Seifu	349 1.5×	38 0.2×	74 0.4×	12 0.2×	36 0.8×	40	893
Danielle B Freedman	180 0.8×	467 2.4×	26 0.2×	81 1.0×	32 0.7×	37	895

Countries citing papers authored by Annamaria Guolo

Since Specialization

Citations

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

Fields of papers citing papers by Annamaria Guolo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annamaria Guolo

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