Fábio P. Leite

31 total papers · 944 total citations
15 papers, 271 citations indexed

About

Fábio P. Leite is a scholar working on Information Systems and Management, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Fábio P. Leite has authored 15 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems and Management, 4 papers in Cognitive Neuroscience and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Fábio P. Leite's work include Business and Management Studies (4 papers), Neural and Behavioral Psychology Studies (3 papers) and Cognitive Science and Mapping (2 papers). Fábio P. Leite is often cited by papers focused on Business and Management Studies (4 papers), Neural and Behavioral Psychology Studies (3 papers) and Cognitive Science and Mapping (2 papers). Fábio P. Leite collaborates with scholars based in United States, Brazil and Australia. Fábio P. Leite's co-authors include Roger Ratcliff, Jeffrey N. Rouder, Michael Lee, Corey N. White, Joachim Vandekerckhove, Amy H. Criss, Dóra Matzke, Berna Devezer, Chris Donkin and Alexander Etz and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Psychology and Discrete Applied Mathematics.

In The Last Decade

Fábio P. Leite

13 papers receiving 268 citations

Author Peers

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

Author						Papers	Cites
Fábio P. Leite	170	58	52	39	26	15	271
Jared M. Hotaling	90 0.5×	124 2.1×	29 0.6×	37 0.9×	18 0.7×	16	213
Nina R. Arnold	235 1.4×	42 0.7×	137 2.6×	54 1.4×	60 2.3×	14	330
Russell J. Boag	142 0.8×	52 0.9×	76 1.5×	18 0.5×	66 2.5×	15	239
Gregory J. Koop	162 1.0×	90 1.6×	38 0.7×	31 0.8×	76 2.9×	13	327
Beth Baribault	70 0.4×	21 0.4×	50 1.0×	30 0.8×	23 0.9×	7	205
Arkady Konovalov	147 0.9×	97 1.7×	37 0.7×	16 0.4×	38 1.5×	17	261
Moshe Glickman	96 0.6×	75 1.3×	25 0.5×	14 0.4×	13 0.5×	15	165
W. Burt Thompson	116 0.7×	20 0.3×	92 1.8×	19 0.5×	36 1.4×	23	247
Luca Polonio	79 0.5×	109 1.9×	21 0.4×	16 0.4×	24 0.9×	15	255
Danilo Fum	103 0.6×	48 0.8×	48 0.9×	122 3.1×	31 1.2×	23	321

Countries citing papers authored by Fábio P. Leite

Since Specialization

Citations

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

Fields of papers citing papers by Fábio P. Leite

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fábio P. Leite. 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 Fábio P. Leite. The network helps show where Fábio P. Leite may publish in the future.

Co-authorship network of co-authors of Fábio P. Leite

This figure shows the co-authorship network connecting the top 25 collaborators of Fábio P. Leite. A scholar is included among the top collaborators of Fábio P. Leite 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 Fábio P. Leite. Fábio P. Leite 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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