Ivan R. Siqueira

35 total papers · 416 total citations
31 papers, 331 citations indexed

About

Ivan R. Siqueira is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Materials Chemistry. According to data from OpenAlex, Ivan R. Siqueira has authored 31 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Mechanics, 18 papers in Fluid Flow and Transfer Processes and 15 papers in Materials Chemistry. Recurrent topics in Ivan R. Siqueira's work include Rheology and Fluid Dynamics Studies (18 papers), Lattice Boltzmann Simulation Studies (10 papers) and Pickering emulsions and particle stabilization (7 papers). Ivan R. Siqueira is often cited by papers focused on Rheology and Fluid Dynamics Studies (18 papers), Lattice Boltzmann Simulation Studies (10 papers) and Pickering emulsions and particle stabilization (7 papers). Ivan R. Siqueira collaborates with scholars based in Brazil and United States. Ivan R. Siqueira's co-authors include Márcio S. Carvalho, Taygoara Oliveira, Paulo R. de Souza Mendes, Francisco Ricardo Cunha, Héctor D. Ceniceros, Matteo Pasquali, Roney L. Thompson, Lucas Eddy, Wei Meng and Duy Xuan Luong and has published in prestigious journals such as Nature Communications, ACS Nano and Journal of Applied Physics.

In The Last Decade

Ivan R. Siqueira

29 papers receiving 326 citations

Author Peers

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

Author						Papers	Cites
Ivan R. Siqueira	173	149	104	94	61	31	331
Jung Goo Hong	149 0.9×	73 0.5×	92 0.9×	62 0.7×	101 1.7×	51	323
A. Ponce-Torres	174 1.0×	108 0.7×	28 0.3×	60 0.6×	142 2.3×	20	306
Zhuoxiong Zeng	195 1.1×	22 0.1×	76 0.7×	69 0.7×	56 0.9×	37	342
Hyung Sub Sim	201 1.2×	73 0.5×	114 1.1×	74 0.8×	30 0.5×	43	325
Mingjie Wang	59 0.3×	56 0.4×	70 0.7×	93 1.0×	20 0.3×	42	297
Weiqi Sun	175 1.0×	24 0.2×	155 1.5×	41 0.4×	68 1.1×	23	348
Manfred H. Pahl	92 0.5×	80 0.5×	17 0.2×	49 0.5×	21 0.3×	22	276
Jicang Si	149 0.9×	134 0.9×	138 1.3×	32 0.3×	26 0.4×	30	289
J. Uddin	186 1.1×	76 0.5×	54 0.5×	49 0.5×	108 1.8×	28	322
Lei Li	146 0.8×	88 0.6×	104 1.0×	86 0.9×	77 1.3×	28	365

Countries citing papers authored by Ivan R. Siqueira

Since Specialization

Citations

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

Fields of papers citing papers by Ivan R. Siqueira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan R. Siqueira. 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 Ivan R. Siqueira. The network helps show where Ivan R. Siqueira may publish in the future.

Co-authorship network of co-authors of Ivan R. Siqueira

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan R. Siqueira. A scholar is included among the top collaborators of Ivan R. Siqueira 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 Ivan R. Siqueira. Ivan R. Siqueira 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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