Danielo G. Gomes

119 total papers · 1.1k total citations
61 papers, 730 citations indexed

About

Danielo G. Gomes is a scholar working on Computer Networks and Communications, Genetics and Insect Science. According to data from OpenAlex, Danielo G. Gomes has authored 61 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Networks and Communications, 17 papers in Genetics and 17 papers in Insect Science. Recurrent topics in Danielo G. Gomes's work include Insect and Arachnid Ecology and Behavior (17 papers), Insect and Pesticide Research (17 papers) and Plant and animal studies (15 papers). Danielo G. Gomes is often cited by papers focused on Insect and Arachnid Ecology and Behavior (17 papers), Insect and Pesticide Research (17 papers) and Plant and animal studies (15 papers). Danielo G. Gomes collaborates with scholars based in Brazil, United States and France. Danielo G. Gomes's co-authors include José Neuman de Souza, Emanuel Ferreira Coutinho, Paulo A. L. Rêgo, Flávio R. C. Sousa, Joseph A. Cazier, Breno Magalhães Freitas, Atslands R. da Rocha, Rodrigo N. Calheiros, Rajkumar Buyya and Edgar Hassler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Computers and Electronics in Agriculture.

In The Last Decade

Danielo G. Gomes

52 papers receiving 695 citations

Author Peers

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

Author						Papers	Cites
Danielo G. Gomes	396	241	162	159	146	61	730
Desheng Wang	84 0.2×	129 0.5×	72 0.4×	132 0.8×	68 0.5×	47	686
Luis Daniel Otero	93 0.2×	105 0.4×	86 0.5×	42 0.3×	149 1.0×	62	630
A. Alexandrov	294 0.7×	271 1.1×	60 0.4×	16 0.1×	27 0.2×	46	703
Konstantinos Fysarakis	322 0.8×	194 0.8×	26 0.2×	51 0.3×	18 0.1×	48	807
T. V. Vijay Kumar	378 1.0×	331 1.4×	19 0.1×	20 0.1×	99 0.7×	67	779
William H. Hsu	79 0.2×	201 0.8×	31 0.2×	31 0.2×	30 0.2×	48	642
Felipe Leno da Silva	80 0.2×	37 0.2×	39 0.2×	37 0.2×	41 0.3×	33	703
Yueming Wu	166 0.4×	279 1.2×	37 0.2×	12 0.1×	34 0.2×	75	888
Masato Uchida	302 0.8×	40 0.2×	21 0.1×	26 0.2×	21 0.1×	101	626
Dariusz Mrozek	117 0.3×	79 0.3×	22 0.1×	22 0.1×	16 0.1×	74	735

Countries citing papers authored by Danielo G. Gomes

Since Specialization

Citations

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

Fields of papers citing papers by Danielo G. Gomes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielo G. Gomes. 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 Danielo G. Gomes. The network helps show where Danielo G. Gomes may publish in the future.

Co-authorship network of co-authors of Danielo G. Gomes

This figure shows the co-authorship network connecting the top 25 collaborators of Danielo G. Gomes. A scholar is included among the top collaborators of Danielo G. Gomes 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 Danielo G. Gomes. Danielo G. Gomes 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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