S.I.S. Pinto

24 papers receiving 263 citations

Peers

S.I.S. Pinto
Comparison fields: 5 of 41
  • Cardiology and Cardiovascular Medicine 116
  • Surgery 159
  • Fluid Flow and Transfer Processes 20
  • Radiology, Nuclear Medicine and Imaging 52
  • Pulmonary and Respiratory Medicine 40
Replace Henry Y. Chen with:
Henry Y. Chen United States
Parastou Eslami United States
Valentina Mazzi Italy
Pierre‐André Doriot Switzerland
Karol Calò Italy
Maurizio Lodi Rizzini Italy
Brian Bigelow United States
Yonghui Qiao China
James D. Thomas United States
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S.I.S. Pinto relative to Henry Y. Chen United States Henry Y. Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by S.I.S. Pinto

Since Specialization
Citations

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

Fields of papers citing papers by S.I.S. Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.I.S. Pinto. 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 S.I.S. Pinto. The network helps show where S.I.S. Pinto may publish in the future.

Co-authors

The 19 scholars most cited alongside S.I.S. Pinto, 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 S.I.S. Pinto Line = papers co-authored together S.I.S. Pinto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201651
2 201843
3 201928
4 202027
5 202121
6 201618
7 202114
8 20138
9 20247
10 20216
11 20235
12 20245
13 20105
14 20095
15 20184
16 20233
17 20203
18 20253
19 20122
20 20112

About S.I.S. Pinto

S.I.S. Pinto is a scholar working on Surgery, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Computational Mechanics and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 266 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (13 papers), Cardiovascular Health and Disease Prevention (5 papers), Cardiovascular Function and Risk Factors (4 papers), Membrane-based Ion Separation Techniques (4 papers), Membrane Separation Technologies (3 papers), Elasticity and Material Modeling (3 papers), Rheology and Fluid Dynamics Studies (3 papers) and Cardiac Imaging and Diagnostics (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (116 citations), Surgery (159 citations), Fluid Flow and Transfer Processes (20 citations), Radiology, Nuclear Medicine and Imaging (52 citations) and Pulmonary and Respiratory Medicine (40 citations). S.I.S. Pinto has collaborated with scholars based in Portugal, Spain and Brazil. Frequent co-authors include J.B.L.M. Campos, Luísa Costa Sousa, Carlos Alberto Conceição António, Catarina F. Castro, J.M. Miranda, Nuno Bettencourt, Nelson Pinho, Eduardo Suárez, Concepción Paz and Ricardo Ladeiras‐Lopes. Their work appears in journals such as Separation Science and Technology, International Journal of Non-Linear Mechanics, International Journal for Numerical Methods in Biomedical Engineering, Computer Methods in Biomechanics & Biomedical Engineering and Computer Methods and Programs in Biomedicine.

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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