Ivan R. Siqueira

429 total citations
31 papers, 333 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 333 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, Paul A. Advincula, James M. Tour and Jacob L. Beckham 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 327 citations

Peers

Ivan R. Siqueira
Comparison fields: 5 of 44
  • Computational Mechanics 172
  • Biomedical Engineering 150
  • Fluid Flow and Transfer Processes 103
  • Materials Chemistry 94
  • Electrical and Electronic Engineering 61
Replace Pieter Janssen with:
Pieter Janssen Netherlands
Jung Goo Hong South Korea
Sreenath Krishnan United States
Jeffrey A. Odell United Kingdom
Juan Pablo Segovia-Gutiérrez Spain
Chingyi Chang United States
Noriyasu Mori Japan
A. Ponce-Torres Spain
Rafael C. Catapan Brazil
James Serdy United States
Pieter Janssen Netherlands View profile →
Citations per field, relative to Ivan R. Siqueira
Ivan R. Siqueira · 1×
Citations per year, relative to Ivan R. Siqueira
Ivan R. Siqueira · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 6
2 1
3 5
4 3
5 0
6 3
7 1
8 5
9 7
10 18
11 1
12 4
13 9
14 34
15 12
16 23
17 37
18 15
19 28
20 0

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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