Giuseppe Pica

19 total papers · 602 total citations
10 papers, 322 citations indexed

About

Giuseppe Pica is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Giuseppe Pica has authored 10 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Atomic and Molecular Physics, and Optics, 5 papers in Electrical and Electronic Engineering and 4 papers in Cognitive Neuroscience. Recurrent topics in Giuseppe Pica's work include Quantum and electron transport phenomena (5 papers), Neural dynamics and brain function (4 papers) and Advancements in Semiconductor Devices and Circuit Design (3 papers). Giuseppe Pica is often cited by papers focused on Quantum and electron transport phenomena (5 papers), Neural dynamics and brain function (4 papers) and Advancements in Semiconductor Devices and Circuit Design (3 papers). Giuseppe Pica collaborates with scholars based in United Kingdom, United States and Italy. Giuseppe Pica's co-authors include Stefano Panzeri, Brendon W. Lovett, R. N. Bhatt, S. A. Lyon, Tommaso Fellin, Stefano Zucca, Valentina Pasquale, Giulia D’Urso, Manuel Molano‐Mazón and Dania Vecchia and has published in prestigious journals such as Nature Neuroscience, Physical Review B and eLife.

In The Last Decade

Giuseppe Pica

10 papers receiving 316 citations

Author Peers

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

Author						Papers	Cites
Giuseppe Pica	148	100	92	76	49	10	322
Hadas Benisty	142 1.0×	100 1.0×	55 0.6×	67 0.9×	60 1.2×	23	320
Michael C. Avery	208 1.4×	154 1.5×	31 0.3×	59 0.8×	19 0.4×	13	350
Francesco Randi	64 0.4×	52 0.5×	63 0.7×	21 0.3×	11 0.2×	16	253
Xinyu Liu	46 0.3×	62 0.6×	38 0.4×	69 0.9×	13 0.3×	17	345
Maki Ohsawa	36 0.2×	50 0.5×	121 1.3×	75 1.0×	7 0.1×	13	334
Volker Pernice	232 1.6×	97 1.0×	52 0.6×	43 0.6×	75 1.5×	10	362
Petteri Kettunen	45 0.3×	94 0.9×	65 0.7×	31 0.4×	35 0.7×	9	354
Mattias Lauwers	44 0.3×	50 0.5×	24 0.3×	18 0.2×	16 0.3×	6	245
Iku Nemoto	133 0.9×	22 0.2×	36 0.4×	16 0.2×	24 0.5×	19	342
Satoshi Moriya	114 0.8×	103 1.0×	72 0.8×	221 2.9×	84 1.7×	30	352

Countries citing papers authored by Giuseppe Pica

Since Specialization

Citations

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

Fields of papers citing papers by Giuseppe Pica

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Pica

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