G. Porcari

24 total papers · 1.0k total citations
19 papers, 890 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 890 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 883 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
G. Porcari	849	772	146	93	22	19	890
Andreas Taubel	927 1.1×	827 1.1×	199 1.4×	185 2.0×	38 1.7×	22	1.0k
S. Pramanick	726 0.9×	689 0.9×	118 0.8×	82 0.9×	51 2.3×	42	822
K-U Neumann	607 0.7×	618 0.8×	80 0.5×	133 1.4×	65 3.0×	17	749
R. Caballero-Flores	719 0.8×	569 0.7×	304 2.1×	110 1.2×	71 3.2×	22	778
H. Y. Liu	826 1.0×	782 1.0×	54 0.4×	225 2.4×	81 3.7×	14	896
A. A. Soroka	616 0.7×	883 1.1×	42 0.3×	231 2.5×	81 3.7×	33	985
J. Buschbeck	637 0.8×	755 1.0×	17 0.1×	185 2.0×	77 3.5×	21	832
Robert Niemann	642 0.8×	774 1.0×	16 0.1×	198 2.1×	20 0.9×	30	834
R. Kainuma	666 0.8×	847 1.1×	16 0.1×	236 2.5×	29 1.3×	14	908
N. E. Anderson	382 0.4×	443 0.6×	810 5.5×	30 0.3×	23 1.0×	13	910

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

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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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