G. Porcari

1.0k total citations
19 papers, 892 citations indexed

About

G. Porcari is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry and Condensed Matter Physics. According to data from OpenAlex, G. Porcari has authored 19 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electronic, Optical and Magnetic Materials, 18 papers in Materials Chemistry and 1 paper in Condensed Matter Physics. Recurrent topics in G. Porcari's work include Shape Memory Alloy Transformations (18 papers), Magnetic and transport properties of perovskites and related materials (18 papers) and Magnetic Properties of Alloys (4 papers). G. Porcari is often cited by papers focused on Shape Memory Alloy Transformations (18 papers), Magnetic and transport properties of perovskites and related materials (18 papers) and Magnetic Properties of Alloys (4 papers). G. Porcari collaborates with scholars based in Italy, Netherlands and Czechia. G. Porcari's co-authors include E. Brück, F. Guillou, H. Yibole, M. Solzi, Niels van Dijk, S. Fabbrici, Francesco Cugini, C. Pernechele, F. Albertini and J. Kamarád and has published in prestigious journals such as Advanced Materials, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

G. Porcari

19 papers receiving 885 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Porcari Italy 14 849 774 147 93 23 19 892
Adrià Gràcia‐Condal Spain 11 487 0.6× 513 0.7× 50 0.3× 121 1.3× 16 0.7× 11 590
Elvina Dilmieva Russia 13 354 0.4× 347 0.4× 59 0.4× 68 0.7× 12 0.5× 32 409
Dimitri Benke Germany 7 638 0.8× 423 0.5× 169 1.1× 55 0.6× 105 4.6× 10 672
E. Yüzüak Türkiye 13 428 0.5× 394 0.5× 61 0.4× 67 0.7× 28 1.2× 35 467
H. Y. Liu China 9 829 1.0× 783 1.0× 54 0.4× 226 2.4× 81 3.5× 14 899
L. Giudici Italy 7 333 0.4× 316 0.4× 40 0.3× 54 0.6× 7 0.3× 10 354
Denis Comtesse Germany 8 292 0.3× 314 0.4× 27 0.2× 64 0.7× 24 1.0× 13 359
R. Thiyagarajan India 14 347 0.4× 330 0.4× 170 1.2× 27 0.3× 25 1.1× 48 479
J. Kaštil Czechia 14 343 0.4× 275 0.4× 175 1.2× 81 0.9× 36 1.6× 63 444
Bo‐Wei Huang China 10 300 0.4× 266 0.3× 50 0.3× 81 0.9× 15 0.7× 20 383

Countries citing papers authored by G. Porcari

Since Specialization
Citations

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

Fields of papers citing papers by G. Porcari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Porcari

This figure shows the co-authorship network connecting the top 25 collaborators of G. Porcari. A scholar is included among the top collaborators of G. Porcari 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 G. Porcari. G. Porcari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Hussain, Riaz, Francesco Cugini, G. Porcari, et al.. (2019). Ubiquitous first-order transitions and site-selective vanishing of the magnetic moment in giant magnetocaloric MnFeSiP alloys detected by Mn55 NMR. Physical review. B.. 100(10). 3 indexed citations
2.
Cugini, Francesco, G. Porcari, Tiziano Rimoldi, et al.. (2017). On the Broadening of the Martensitic Transition in Heusler Alloys: From Microscopic Features to Magnetocaloric Properties. JOM. 69(8). 1422–1426. 10 indexed citations
3.
Singh, Sanjay, L. Caron, S. W. D’Souza, et al.. (2016). Large Magnetization and Reversible Magnetocaloric Effect at the Second‐Order Magnetic Transition in Heusler Materials. Advanced Materials. 28(17). 3321–3325. 90 indexed citations
4.
Cugini, Francesco, G. Porcari, Cristiano Viappiani, et al.. (2016). Millisecond direct measurement of the magnetocaloric effect of a Fe2P-based compound by the mirage effect. Applied Physics Letters. 108(1). 21 indexed citations
5.
Cugini, Francesco, G. Porcari, S. Fabbrici, F. Albertini, & M. Solzi. (2016). Influence of the transition width on the magnetocaloric effect across the magnetostructural transition of Heusler alloys. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 374(2074). 20150306–20150306. 25 indexed citations
6.
Porcari, G., K. Morrison, Francesco Cugini, et al.. (2015). Influence of thermal conductivity on the dynamic response of magnetocaloric materials. International Journal of Refrigeration. 59. 29–36. 21 indexed citations
7.
Каманцев, А. П., В. В. Коледов, А. В. Маширов, et al.. (2015). Properties of metamagnetic alloy Fe48Rh52 in high magnetic fields. Bulletin of the Russian Academy of Sciences Physics. 79(9). 1086–1088. 12 indexed citations
8.
Guillou, F., H. Yibole, А. П. Каманцев, et al.. (2015). Field Dependence of the Magnetocaloric Effect in MnFe(P,Si) Materials. IEEE Transactions on Magnetics. 51(11). 1–4. 15 indexed citations
9.
Guillou, F., H. Yibole, G. Porcari, & E. Brück. (2014). Boron addition in MnFe(P,Si) magnetocaloric materials: interstitial vs. substitutional scenarii. Physica status solidi. C, Conferences and critical reviews/Physica status solidi. C, Current topics in solid state physics. 11(5-6). 1007–1010. 10 indexed citations
10.
Guillou, F., G. Porcari, H. Yibole, Niels van Dijk, & E. Brück. (2014). Taming the First‐Order Transition in Giant Magnetocaloric Materials. Advanced Materials. 26(17). 2671–2675. 253 indexed citations
11.
Cugini, Francesco, G. Porcari, & M. Solzi. (2014). Non-contact direct measurement of the magnetocaloric effect in thin samples. Review of Scientific Instruments. 85(7). 74902–74902. 16 indexed citations
12.
Fabbrici, S., G. Porcari, Francesco Cugini, et al.. (2014). Co and In Doped Ni-Mn-Ga Magnetic Shape Memory Alloys: A Thorough Structural, Magnetic and Magnetocaloric Study. Entropy. 16(4). 2204–2222. 42 indexed citations
13.
Guillou, F., et al.. (2014). Magnetocaloric effect, cyclability and coefficient of refrigerant performance in the MnFe(P, Si, B) system. Journal of Applied Physics. 116(6). 84 indexed citations
14.
Porcari, G., M. Buzzi, Francesco Cugini, et al.. (2013). Direct magnetocaloric characterization and simulation of thermomagnetic cycles. Review of Scientific Instruments. 84(7). 73907–73907. 37 indexed citations
15.
Porcari, G., Francesco Cugini, S. Fabbrici, et al.. (2012). Convergence of direct and indirect methods in the magnetocaloric study of first order transformations: The case of Ni-Co-Mn-Ga Heusler alloys. Physical Review B. 86(10). 60 indexed citations
16.
Porcari, G., S. Fabbrici, C. Pernechele, et al.. (2012). Reverse magnetostructural transformation and adiabatic temperature change in Co- and In-substituted Ni-Mn-Ga alloys. Physical Review B. 85(2). 48 indexed citations
17.
Albertini, F., S. Fabbrici, A. Paoluzi, et al.. (2011). Reverse Magnetostructural Transitions by Co and In Doping NiMnGa Alloys: Structural, Magnetic, and Magnetoelastic Properties. Materials science forum. 684. 151–163. 26 indexed citations
18.
Fabbrici, S., J. Kamarád, Z. Arnold, et al.. (2010). From direct to inverse giant magnetocaloric effect in Co-doped NiMnGa multifunctional alloys. Acta Materialia. 59(1). 412–419. 115 indexed citations
19.
Cagnoni, Stefano, Agostino Poggi, & G. Porcari. (2003). A modified modular eigenspace approach to face recognition. 3. 490–495. 4 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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