Francesca Gregorio

29 total papers · 409 total citations
14 papers, 216 citations indexed

About

Francesca Gregorio is a scholar working on Education, Modeling and Simulation and Statistics and Probability. According to data from OpenAlex, Francesca Gregorio has authored 14 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Education, 5 papers in Modeling and Simulation and 4 papers in Statistics and Probability. Recurrent topics in Francesca Gregorio's work include Mathematics Education and Programs (5 papers), Mathematics Education and Teaching Techniques (5 papers) and Cognitive and developmental aspects of mathematical skills (4 papers). Francesca Gregorio is often cited by papers focused on Mathematics Education and Programs (5 papers), Mathematics Education and Teaching Techniques (5 papers) and Cognitive and developmental aspects of mathematical skills (4 papers). Francesca Gregorio collaborates with scholars based in Italy, Switzerland and France. Francesca Gregorio's co-authors include Pietro Di Martino, Paola Iannone, Mario Pellegrino, Paolo Orsini, Domenico Santoro, Michele Buemi, Franco Giorgi, Roberto Maggio, Mario Rossi and Giuseppe Costantino and has published in prestigious journals such as Toxicology and Applied Pharmacology, Neuroscience Research and Educational Studies in Mathematics.

In The Last Decade

Francesca Gregorio

13 papers receiving 196 citations

Author Peers

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

Author						Papers	Cites
Francesca Gregorio	77	56	31	26	26	14	216
Toivo Glatz	25 0.3×	51 0.9×	10 0.3×	27 1.0×	30 1.2×	19	173
Oakley D. Hadfield	139 1.8×	79 1.4×	103 3.3×	12 0.5×	7 0.3×	14	285
Martin Bøg	149 1.9×	55 1.0×	28 0.9×	14 0.5×	3 0.1×	19	295
W. D. Furneaux	32 0.4×	40 0.7×	37 1.2×	10 0.4×	4 0.2×	15	174
Annette F. Gourgey	113 1.5×	22 0.4×	44 1.4×	11 0.4×	4 0.2×	13	206
John H. Meier	72 0.9×	85 1.5×	5 0.2×	36 1.4×	6 0.2×	16	329
Karin Linnanmäki	181 2.4×	59 1.1×	70 2.3×	18 0.7×	4 0.2×	13	281
Lisa Clement	167 2.2×	58 1.0×	14 0.5×	20 0.8×	5 0.2×	12	328
Martha Tapia	173 2.2×	60 1.1×	125 4.0×	9 0.3×	17 0.7×	18	326
Daryl Greaves	177 2.3×	90 1.6×	6 0.2×	18 0.7×	7 0.3×	16	279

Countries citing papers authored by Francesca Gregorio

Since Specialization

Citations

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

Fields of papers citing papers by Francesca Gregorio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Gregorio

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