D.J. Silva

589 total citations
33 papers, 481 citations indexed

About

D.J. Silva is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry and Condensed Matter Physics. According to data from OpenAlex, D.J. Silva has authored 33 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electronic, Optical and Magnetic Materials, 17 papers in Materials Chemistry and 7 papers in Condensed Matter Physics. Recurrent topics in D.J. Silva's work include Magnetic and transport properties of perovskites and related materials (16 papers), Advanced Thermoelectric Materials and Devices (6 papers) and Physics of Superconductivity and Magnetism (5 papers). D.J. Silva is often cited by papers focused on Magnetic and transport properties of perovskites and related materials (16 papers), Advanced Thermoelectric Materials and Devices (6 papers) and Physics of Superconductivity and Magnetism (5 papers). D.J. Silva collaborates with scholars based in Portugal, Belgium and United Kingdom. D.J. Silva's co-authors include J. Ventura, João P. Araújo, André M. Pereira, João S. Amaral, V. S. Amaral, J. C. R. E. Oliveira, J.H. Belo, Cátia Rodrígues, Ana L. Pires and J. G. Correia and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Advanced Functional Materials.

In The Last Decade

D.J. Silva

33 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.J. Silva Portugal 13 294 278 117 70 66 33 481
Fengming Zhang China 15 215 0.7× 410 1.5× 69 0.6× 125 1.8× 144 2.2× 63 659
Nguyen Huy Dan Vietnam 16 670 2.3× 488 1.8× 350 3.0× 241 3.4× 92 1.4× 96 958
Yiwen Song United States 13 236 0.8× 351 1.3× 22 0.2× 173 2.5× 50 0.8× 37 546
Afef Kedous‐Lebouc France 14 690 2.3× 254 0.9× 236 2.0× 209 3.0× 99 1.5× 66 823
K. Ramesh Kumar India 12 272 0.9× 218 0.8× 75 0.6× 98 1.4× 46 0.7× 30 581
David S. Tourigny France 14 79 0.3× 538 1.9× 209 1.8× 48 0.7× 63 1.0× 27 754
Veng Cheong Lo Hong Kong 14 205 0.7× 433 1.6× 80 0.7× 65 0.9× 26 0.4× 50 610
Madhuri Thakur India 11 156 0.5× 106 0.4× 113 1.0× 32 0.5× 86 1.3× 15 517
Xin-Ya Zhang China 7 35 0.1× 153 0.6× 142 1.2× 32 0.5× 66 1.0× 16 359
Junjie Shen China 10 114 0.4× 549 2.0× 99 0.8× 10 0.1× 57 0.9× 28 635

Countries citing papers authored by D.J. Silva

Since Specialization
Citations

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

Fields of papers citing papers by D.J. Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.J. Silva. 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 D.J. Silva. The network helps show where D.J. Silva may publish in the future.

Co-authorship network of co-authors of D.J. Silva

This figure shows the co-authorship network connecting the top 25 collaborators of D.J. Silva. A scholar is included among the top collaborators of D.J. Silva 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 D.J. Silva. D.J. Silva 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.
Amaral, João S., et al.. (2025). Optimization of a novel magnetic refrigerator based on the demagnetizing effect using a particle swarm-like algorithm. International Journal of Refrigeration. 172. 134–146. 1 indexed citations
2.
Amaral, João S., et al.. (2025). Solid-state magnetic refrigerator based on the demagnetizing effect. International Journal of Refrigeration. 178. 272–279. 1 indexed citations
3.
Silva, D.J., et al.. (2024). Magnetic refrigeration enhanced by magnetically-activated thermal switch: An experimental proof-of-concept. International Journal of Refrigeration. 164. 210–217. 4 indexed citations
4.
Pereira, Clara, et al.. (2023). High-performance magnetic thermal switch based on MnFe2O4/Ethylene Glycol:Water refrigerant dispersion. Energy. 283. 129123–129123. 3 indexed citations
5.
Silva, D.J., et al.. (2023). 2177P Immunotherapy adverse events association with inflammation scores: A real-world data analysis from a Portuguese hospital. Annals of Oncology. 34. S1129–S1129. 1 indexed citations
6.
Silva, D.J., et al.. (2023). Complete thermodynamic characterization of second-order phase transition magnetocaloric materials exclusively through magnetometry. Journal of Alloys and Compounds. 976. 173290–173290. 1 indexed citations
7.
Ventura, J., et al.. (2022). Rod mangle rotation patterns for adjustable magnetic field generation. Journal of Magnetism and Magnetic Materials. 565. 170227–170227. 2 indexed citations
8.
Silva, D.J., et al.. (2022). Numerical simulation and optimization of a solid state thermal diode based on shape-memory alloys. Energy. 255. 124460–124460. 6 indexed citations
9.
Silva, D.J., J. Ventura, & João P. Araújo. (2021). Caloric devices: A review on numerical modeling and optimization strategies. International Journal of Energy Research. 45(13). 18498–18539. 44 indexed citations
10.
Silva, D.J., André M. Pereira, J. Ventura, João P. Araújo, & J. C. R. E. Oliveira. (2021). Thermal switching requirements for solid state magnetic refrigeration. Journal of Magnetism and Magnetic Materials. 533. 167979–167979. 16 indexed citations
11.
Silva, D.J., J. Ventura, & João P. Araújo. (2020). Predicting the performance of magnetocaloric systems using machine learning regressors. Energy and AI. 2. 100030–100030. 19 indexed citations
12.
Silva, D.J., João S. Amaral, & V. S. Amaral. (2019). Modeling and computing magnetocaloric systems using the Python framework heatrapy. International Journal of Refrigeration. 106. 278–282. 13 indexed citations
13.
Silva, D.J., João S. Amaral, & V. S. Amaral. (2019). Cooling by sweeping: A new operation method to achieve ferroic refrigeration without fluids or thermally switchable components. International Journal of Refrigeration. 101. 98–105. 9 indexed citations
14.
Silva, D.J., J. Ventura, João S. Amaral, & V. S. Amaral. (2018). Enhancing the temperature span of thermal switch-based solid state magnetic refrigerators with field sweeping. International Journal of Energy Research. 43(2). 742–748. 14 indexed citations
15.
Silva, D.J., et al.. (2016). Optimization of the physical properties of magnetocaloric materials for solid state magnetic refrigeration. Applied Thermal Engineering. 99. 514–517. 33 indexed citations
16.
Silva, D.J., U. Wahl, J. G. Correia, et al.. (2016). Direct observation of the lattice sites of implanted manganese in silicon. Applied Physics A. 122(3). 2 indexed citations
17.
Wahl, U., D.J. Silva, K. W. Edmonds, et al.. (2015). Identification of the interstitial Mn site in ferromagnetic (Ga,Mn)As. Applied Physics Letters. 106(1). 8 indexed citations
18.
Silva, D.J., et al.. (2014). The Effect of Coolants on the Performance of Magnetic Micro-Refrigerators. Journal of Nanoscience and Nanotechnology. 14(6). 4337–4340. 4 indexed citations
19.
Silva, D.J., J. Ventura, João P. Araújo, & André M. Pereira. (2013). Maximizing the temperature span of a solid state active magnetic regenerative refrigerator. Applied Energy. 113. 1149–1154. 45 indexed citations
20.
Silva, D.J., U. Wahl, J. G. Correia, & João P. Araújo. (2013). Influence of n+ and p+ doping on the lattice sites of implanted Fe in Si. Journal of Applied Physics. 114(10). 103503–103503. 12 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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