Roberto J. Miranda

73 total papers · 598 total citations
45 papers, 436 citations indexed

About

Roberto J. Miranda is a scholar working on Parasitology, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Roberto J. Miranda has authored 45 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Parasitology, 15 papers in Ecology, Evolution, Behavior and Systematics and 14 papers in Genetics. Recurrent topics in Roberto J. Miranda's work include Vector-borne infectious diseases (14 papers), Venomous Animal Envenomation and Studies (8 papers) and Study of Mite Species (7 papers). Roberto J. Miranda is often cited by papers focused on Vector-borne infectious diseases (14 papers), Venomous Animal Envenomation and Studies (8 papers) and Study of Mite Species (7 papers). Roberto J. Miranda collaborates with scholars based in Panama, United States and Brazil. Roberto J. Miranda's co-authors include Sergio E. Bermúdez, Helen J. Esser, Marcelo B. Labruna, Mariana Granziera Spolidorio, Yaxelis Mendoza, Jonas Moraes‐Filho, Yamitzel Zaldívar, Ricardo Moreno, Amanda Gabster and M. Alejandra Perotti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Lithos.

In The Last Decade

Roberto J. Miranda

42 papers receiving 424 citations

Author Peers

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

Author						Papers	Cites
Roberto J. Miranda	277	209	139	123	81	45	436
Jian‐Wei Shao	119 0.4×	247 1.2×	72 0.5×	106 0.9×	20 0.2×	42	436
Nicolás Morel	167 0.6×	86 0.4×	22 0.2×	90 0.7×	90 1.1×	39	428
Hee Il Lee	236 0.9×	249 1.2×	231 1.7×	142 1.2×	86 1.1×	56	495
Stefan Vilges de Oliveira	288 1.0×	233 1.1×	163 1.2×	112 0.9×	64 0.8×	45	448
Holly C. Tuten	166 0.6×	190 0.9×	203 1.5×	82 0.7×	106 1.3×	20	396
Martin Bona	268 1.0×	214 1.0×	40 0.3×	104 0.8×	64 0.8×	35	454
Lene Jung Kjær	147 0.5×	197 0.9×	116 0.8×	137 1.1×	56 0.7×	34	450
Lívia Perles	298 1.1×	214 1.0×	98 0.7×	69 0.6×	39 0.5×	44	423
Adama Zan Diarra	304 1.1×	227 1.1×	198 1.4×	103 0.8×	71 0.9×	35	495
Benoit Talbot	131 0.5×	186 0.9×	165 1.2×	73 0.6×	70 0.9×	33	406

Countries citing papers authored by Roberto J. Miranda

Since Specialization

Citations

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

Fields of papers citing papers by Roberto J. Miranda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto J. Miranda. 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 Roberto J. Miranda. The network helps show where Roberto J. Miranda may publish in the future.

Co-authorship network of co-authors of Roberto J. Miranda

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto J. Miranda. A scholar is included among the top collaborators of Roberto J. Miranda 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 Roberto J. Miranda. Roberto J. Miranda 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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