Susana Cardoso

10.0k total citations
392 papers, 7.7k citations indexed

About

Susana Cardoso is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Susana Cardoso has authored 392 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 202 papers in Atomic and Molecular Physics, and Optics, 178 papers in Electrical and Electronic Engineering and 110 papers in Biomedical Engineering. Recurrent topics in Susana Cardoso's work include Magnetic properties of thin films (185 papers), Magnetic Field Sensors Techniques (76 papers) and ZnO doping and properties (47 papers). Susana Cardoso is often cited by papers focused on Magnetic properties of thin films (185 papers), Magnetic Field Sensors Techniques (76 papers) and ZnO doping and properties (47 papers). Susana Cardoso collaborates with scholars based in Portugal, Spain and Germany. Susana Cardoso's co-authors include P. P. Freitas, Ricardo Ferreira, Filipe A. Cardoso, W. Kleemann, O. Petracic, Diana C. Leitão, J. B. Sousa, Siva Satyendra Sahoo, C. Reig and Subhankar Bedanta and has published in prestigious journals such as Physical Review Letters, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Susana Cardoso

374 papers receiving 7.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Susana Cardoso Portugal 44 3.8k 2.9k 2.4k 1.7k 1.6k 392 7.7k
P. P. Freitas Portugal 58 7.7k 2.1× 5.1k 1.7× 3.6k 1.5× 3.2k 1.9× 2.6k 1.6× 606 13.3k
Shin‐Hyun Kim South Korea 66 3.8k 1.0× 3.4k 1.2× 6.4k 2.7× 2.2k 1.3× 5.9k 3.6× 269 13.9k
Hyunsoo Yang Singapore 57 6.8k 1.8× 3.7k 1.3× 1.2k 0.5× 3.5k 2.1× 3.7k 2.3× 251 11.2k
Martin A. M. Gijs Switzerland 48 1.3k 0.4× 2.6k 0.9× 5.5k 2.3× 485 0.3× 818 0.5× 278 8.5k
Weijia Wen Hong Kong 56 1.3k 0.3× 3.2k 1.1× 8.6k 3.5× 2.4k 1.4× 1.7k 1.1× 414 13.4k
Hong Yang China 55 1.4k 0.4× 2.9k 1.0× 4.9k 2.0× 3.9k 2.2× 2.6k 1.6× 440 11.3k
Anja Boisen Denmark 58 4.7k 1.3× 4.7k 1.6× 5.1k 2.1× 1.4k 0.8× 1.5k 0.9× 430 11.6k
Mo Li United States 50 4.6k 1.2× 5.6k 1.9× 2.5k 1.0× 907 0.5× 2.7k 1.6× 304 9.6k
Qi‐Dai Chen China 65 2.7k 0.7× 5.8k 2.0× 7.9k 3.2× 1.7k 1.0× 5.3k 3.3× 374 15.4k
A. J. Steckl United States 56 1.4k 0.4× 5.6k 1.9× 3.0k 1.2× 2.3k 1.4× 3.9k 2.4× 366 10.9k

Countries citing papers authored by Susana Cardoso

Since Specialization
Citations

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

Fields of papers citing papers by Susana Cardoso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susana Cardoso

This figure shows the co-authorship network connecting the top 25 collaborators of Susana Cardoso. A scholar is included among the top collaborators of Susana Cardoso 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 Susana Cardoso. Susana Cardoso 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
1.
Paz, Elvira, et al.. (2024). Impact of the Synthetic Antiferromagnet in TMR Sensors for Improved Angular- Dependent Output. IEEE Sensors Journal. 24(11). 17588–17595. 3 indexed citations
2.
Muñoz, Diego Ramı́rez, et al.. (2024). Magnetoresistive Shunt as an Alternative to Wheatstone Bridge Sensors in Electrical Current Sensing. Electronics. 13(15). 2991–2991.
3.
Muñoz, Diego Ramı́rez, et al.. (2024). Wattmeter based on tunnel-effect magnetoresistance sensor. Review of Scientific Instruments. 95(8).
4.
Peres, M., L.C. Alves, Susana Cardoso, et al.. (2024). Impact of radiation damage on the photoconductor and photodiode properties of GaN core–shell p–n junction microwires. Radiation Physics and Chemistry. 224. 111945–111945.
5.
6.
Martins, Verónica C., R. Vilarinho, Susana Cardoso, et al.. (2022). Wettability‐Assisted Process to Shape Organic Crystalline Printed Films. Advanced Materials Interfaces. 9(28). 2 indexed citations
7.
Correia, M. R., Gwénolé Jacopin, Julien Pernot, et al.. (2022). Europium-Implanted AlN Nanowires for Red Light-Emitting Diodes. ACS Applied Nano Materials. 5(1). 972–984. 12 indexed citations
8.
Freitas, P. P., et al.. (2022). Detecting Magnetic Ink Barcodes With Handheld Magnetoresistive Sensors. IEEE Transactions on Magnetics. 58(8). 1–4. 3 indexed citations
9.
Campanile, Raffaele, Antonio Minopoli, Verónica C. Martins, et al.. (2022). Multifunctional Core@Satellite Magnetic Particles for Magnetoresistive Biosensors. ACS Omega. 7(41). 36543–36550. 9 indexed citations
10.
Peres, M., Susana Cardoso, L.C. Alves, et al.. (2021). Self-powered proton detectors based on GaN core–shell p–n microwires. Applied Physics Letters. 118(19). 4 indexed citations
11.
Leitão, Diana C., et al.. (2019). Optimization of the Gap Size of Flux Concentrators: Pushing Further on Low Noise Levels and High Sensitivities in Spin-Valve Sensors. IEEE Transactions on Magnetics. 55(7). 1–5. 5 indexed citations
12.
Martins, Verónica C., Filipe A. Cardoso, S. A. M. Martins, et al.. (2019). Go with the flow: advances and trends in magnetic flow cytometry. Analytical and Bioanalytical Chemistry. 411(9). 1839–1862. 25 indexed citations
13.
Figueiras, F., R. Vilarinho, José R. Fernandes, et al.. (2019). Strain-Engineered Tetragonal Phase and Ferroelectricity in GdMnO3 Thin Films Grown on SrTiO3 (001). Scientific Reports. 9(1). 18755–18755. 3 indexed citations
14.
Martins, Verónica C., et al.. (2019). Automatic System to Count and Classify Bacteria Based on Magnetic Cytometry. IEEE Magnetics Letters. 10. 1–5. 1 indexed citations
15.
Martins, Verónica C., et al.. (2019). Magnetoresistive Detection of Clinical Biomarker for Monitoring of Colorectal Cancer. IEEE Magnetics Letters. 10. 1–5. 12 indexed citations
16.
Barnsley, Lester C., Bruno F. B. Silva, Susana Cardoso, et al.. (2018). Enhanced magnetic microcytometer with 3D flow focusing for cell enumeration. Lab on a Chip. 18(17). 2593–2603. 15 indexed citations
17.
Leitão, Diana C., et al.. (2018). MnNi-based spin valve sensors combining high thermal stability, small footprint and pTesla detectivities. AIP Advances. 8(5). 4 indexed citations
18.
Viceto, Carolina, Susana Cardoso, Martinho Marta‐Almeida, Irina Gorodetskaya, & Alfredo Rocha. (2017). Assessment of future extreme climate events over the Porto wine Region. EGUGA. 950. 1 indexed citations
19.
Cardoso, Susana, et al.. (2014). Triquinelose humana: estudo observacional em dois grupos populacionais expostos à infeção por Trichinella sp. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 20–22. 3 indexed citations
20.
Teixeira, J. M., J. Ventura, João P. Araújo, et al.. (2011). Resonant Tunneling through Electronic Trapping States in Thin MgO Magnetic Junctions. Physical Review Letters. 106(19). 196601–196601. 39 indexed citations

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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