Dánae Fiore

95 total papers · 647 total citations
58 papers, 363 citations indexed

About

Dánae Fiore is a scholar working on Anthropology, Cultural Studies and Paleontology. According to data from OpenAlex, Dánae Fiore has authored 58 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Anthropology, 22 papers in Cultural Studies and 20 papers in Paleontology. Recurrent topics in Dánae Fiore's work include Pleistocene-Era Hominins and Archaeology (20 papers), Archaeology and ancient environmental studies (20 papers) and Archaeological and Geological Studies (15 papers). Dánae Fiore is often cited by papers focused on Pleistocene-Era Hominins and Archaeology (20 papers), Archaeology and ancient environmental studies (20 papers) and Archaeological and Geological Studies (15 papers). Dánae Fiore collaborates with scholars based in Argentina, Chile and Spain. Dánae Fiore's co-authors include Agustín Acevedo, Inés Domingo Sanz, Sally K. May, Atilio Francisco Zangrando, Ernesto Luís Piana, Marta S. Maier, Luis Abel Orquera, Myrian Álvarez, Nora Viviana Franco and Alexander Cherkinsky and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Archaeological Science and Archaeometry.

In The Last Decade

Dánae Fiore

52 papers receiving 339 citations

Author Peers

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

Author						Papers	Cites
Dánae Fiore	207	206	160	104	50	58	363
Karen G. Harry	163 0.8×	192 0.9×	57 0.4×	65 0.6×	20 0.4×	36	299
Elizabeth S. Chilton	140 0.7×	132 0.6×	94 0.6×	30 0.3×	17 0.3×	36	348
Deborah L. Huntley	156 0.8×	240 1.2×	82 0.5×	72 0.7×	9 0.2×	20	375
Robert J. Hoard	159 0.8×	201 1.0×	112 0.7×	39 0.4×	42 0.8×	22	320
Chester B. DePratter	206 1.0×	178 0.9×	85 0.5×	24 0.2×	22 0.4×	45	353
Vanessa Léa	171 0.8×	147 0.7×	132 0.8×	37 0.4×	32 0.6×	40	381
Daniela Valenzuela	136 0.7×	203 1.0×	109 0.7×	25 0.2×	28 0.6×	30	360
Frans Verhaeghe	138 0.7×	160 0.8×	127 0.8×	15 0.1×	33 0.7×	60	377
J. Andrew Darling	156 0.8×	197 1.0×	90 0.6×	46 0.4×	20 0.4×	19	308
Tsim D. Schneider	226 1.1×	206 1.0×	77 0.5×	52 0.5×	6 0.1×	31	390

Countries citing papers authored by Dánae Fiore

Since Specialization

Citations

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

Fields of papers citing papers by Dánae Fiore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dánae Fiore

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