G. Cappuccino

72 total papers · 564 total citations
42 papers, 408 citations indexed

About

G. Cappuccino is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, G. Cappuccino has authored 42 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Electrical and Electronic Engineering, 21 papers in Biomedical Engineering and 5 papers in Automotive Engineering. Recurrent topics in G. Cappuccino's work include Analog and Mixed-Signal Circuit Design (21 papers), Low-power high-performance VLSI design (18 papers) and Advancements in Semiconductor Devices and Circuit Design (12 papers). G. Cappuccino is often cited by papers focused on Analog and Mixed-Signal Circuit Design (21 papers), Low-power high-performance VLSI design (18 papers) and Advancements in Semiconductor Devices and Circuit Design (12 papers). G. Cappuccino collaborates with scholars based in Italy and Austria. G. Cappuccino's co-authors include Francesco Amoroso, G. Cocorullo, Andrea Pugliese, Felice Crupi, Giuseppe Iannaccone, Pasquale Corsonello, Gilda Schirinzi, Marco Ricci, Stefano Laureti and Emilio Arnieri and has published in prestigious journals such as Journal of Power Sources, Energy Conversion and Management and Electronics Letters.

In The Last Decade

G. Cappuccino

39 papers receiving 385 citations

Author Peers

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

Author						Papers	Cites
G. Cappuccino	355	222	81	29	23	42	408
Young-Jae Min	283 0.8×	151 0.7×	23 0.3×	30 1.0×	14 0.6×	36	409
Juha Häkkinen	233 0.7×	141 0.6×	21 0.3×	12 0.4×	12 0.5×	46	376
Debashis Mandal	404 1.1×	222 1.0×	22 0.3×	21 0.7×	13 0.6×	38	428
Dirk Hammerschmidt	236 0.7×	192 0.9×	19 0.2×	26 0.9×	23 1.0×	46	373
Wei Shu	412 1.2×	240 1.1×	22 0.3×	10 0.3×	8 0.3×	53	479
Jinwook Song	422 1.2×	75 0.3×	42 0.5×	15 0.5×	42 1.8×	50	478
Won-Seok Oh	320 0.9×	115 0.5×	13 0.2×	47 1.6×	17 0.7×	59	378
Paul Annus	295 0.8×	226 1.0×	18 0.2×	25 0.9×	7 0.3×	77	473
Wei Guo	291 0.8×	75 0.3×	172 2.1×	80 2.8×	9 0.4×	40	423
Yong Sin Kim	313 0.9×	134 0.6×	19 0.2×	27 0.9×	12 0.5×	44	456

Countries citing papers authored by G. Cappuccino

Since Specialization

Citations

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

Fields of papers citing papers by G. Cappuccino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of G. Cappuccino. A scholar is included among the top collaborators of G. Cappuccino 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. Cappuccino. G. Cappuccino 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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