Adélia Sequeira

155 papers receiving 3.1k citations

Peers

Adélia Sequeira
Comparison fields: 5 of 130
  • Fluid Flow and Transfer Processes 470
  • Condensed Matter Physics 524
  • Computational Mechanics 943
  • Applied Mathematics 271
  • Cardiology and Cardiovascular Medicine 436
Replace Tsorng‐Whay Pan with:
Tsorng‐Whay Pan United States
Dmitry A. Fedosov Germany
C. Pozrikidis United States
Suman Chakraborty India
Chaouqi Misbah France
Xiaoyi He United States
Howard H. Hu United States
Timm Krüger United Kingdom
Jens Harting Germany
Ali Nadim United States
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Citations per field
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Citations per year

Countries citing papers authored by Adélia Sequeira

Since Specialization
Citations

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

Fields of papers citing papers by Adélia Sequeira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adélia Sequeira. 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 Adélia Sequeira. The network helps show where Adélia Sequeira may publish in the future.

Co-authors

The 25 scholars most cited alongside Adélia Sequeira, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Adélia Sequeira Line = papers co-authored together Adélia Sequeira links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002209
2 2015145
3 1995143
4 2010112
5 2001102
6 199997
7 200195
8 200291
9 201389
10 200487
11 201081
12 200776
13 200370
14 199464
15 201161
16 200956
17 200152
18 198349
19 202048
20 200847

About Adélia Sequeira

Adélia Sequeira is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Pulmonary and Respiratory Medicine, Biomedical Engineering and Materials Chemistry, having authored 160 papers that have together received 3.2k indexed citations. Recurring topics across this work include Rheology and Fluid Dynamics Studies (33 papers), Blood properties and coagulation (25 papers), Fluid Dynamics and Turbulent Flows (25 papers), Advanced Numerical Methods in Computational Mathematics (20 papers), Advanced Mathematical Modeling in Engineering (19 papers), Coronary Interventions and Diagnostics (18 papers), Elasticity and Material Modeling (16 papers) and Navier-Stokes equation solutions (14 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (470 citations), Condensed Matter Physics (524 citations), Computational Mechanics (943 citations), Applied Mathematics (271 citations) and Cardiology and Cardiovascular Medicine (436 citations). Adélia Sequeira has collaborated with scholars based in Portugal, Italy and United Kingdom. Frequent co-authors include Tomáš Bodnár, João Janela, N. Franco, Alexandra Moura, E. Alves, S. Pereira, M. R. Correia, Juha Videman, E. Pereira and Anne M. Robertson. Their work appears in journals such as Mathematical Methods in the Applied Sciences, Applied Physics Letters, Mathematical Biosciences & Engineering, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms and Surface and Coatings Technology.

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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