Giuseppe Pica

603 total citations
10 papers, 325 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 325 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, S. A. Lyon, R. N. Bhatt, Tommaso Fellin, Michela Chiappalone, Giulia D’Urso, Stefano Zucca, Claudio Moretti and Manuel Molano‐Mazón and has published in prestigious journals such as Nature Neuroscience, Physical Review B and eLife.

In The Last Decade

Giuseppe Pica

10 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giuseppe Pica United Kingdom	8	150	100	92	77	49	10	325
Hadas Benisty Israel	9	145 1.0×	101 1.0×	56 0.6×	67 0.9×	59 1.2×	23	324
John J. Briguglio United States	9	330 2.2×	164 1.6×	71 0.8×	46 0.6×	20 0.4×	12	556
Radosław Chrapkiewicz Poland	9	130 0.9×	106 1.1×	127 1.4×	42 0.5×	97 2.0×	16	385
Fu‐Der Chen Canada	9	82 0.5×	126 1.3×	83 0.9×	149 1.9×	27 0.6×	26	313
Suguru N. Kudoh Japan	14	216 1.4×	323 3.2×	48 0.5×	90 1.2×	10 0.2×	71	485
Lianchun Yu China	16	336 2.2×	141 1.4×	118 1.3×	101 1.3×	37 0.8×	47	653
Elric Esposito United Kingdom	7	170 1.1×	181 1.8×	102 1.1×	99 1.3×	17 0.3×	12	431
Rhonda Dzakpasu United States	14	252 1.7×	217 2.2×	43 0.5×	59 0.8×	7 0.1×	25	501
Janelle Shane United States	11	220 1.5×	283 2.8×	257 2.8×	126 1.6×	18 0.4×	17	679

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

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Pica, Giuseppe, Monica Moroni, Caroline A. Runyan, et al.. (2021). Correlations enhance the behavioral readout of neural population activity in association cortex. Nature Neuroscience. 24(7). 975–986. 57 indexed citations

Pica, Giuseppe, et al.. (2019). Using intersection information to map stimulus information transfer within neural networks. Biosystems. 185. 104028–104028. 3 indexed citations

Pica, Giuseppe, Eugenio Piasini, Houman Safaai, et al.. (2017). Quantifying how much sensory information in a neural code is relevant for behavior. Neural Information Processing Systems. 30. 3686–3696. 7 indexed citations

Zucca, Stefano, Giulia D’Urso, Valentina Pasquale, et al.. (2017). An inhibitory gate for state transition in cortex. eLife. 6. 133 indexed citations

Pica, Giuseppe, Eugenio Piasini, Daniel Chicharro, & Stefano Panzeri. (2017). Invariant Components of Synergy, Redundancy, and Unique Information among Three Variables. Entropy. 19(9). 451–451. 19 indexed citations

Mortemousque, Pierre-André, Giuseppe Pica, David P. Franke, et al.. (2016). Quadrupole shift of nuclear magnetic resonance of donors in silicon at low magnetic field. Nanotechnology. 27(49). 494001–494001. 4 indexed citations

Pica, Giuseppe, Brendon W. Lovett, R. N. Bhatt, T. Schenkel, & S. A. Lyon. (2016). Surface code architecture for donors and dots in silicon with imprecise and nonuniform qubit couplings. Physical review. B.. 93(3). 37 indexed citations

Pica, Giuseppe & Brendon W. Lovett. (2016). Quantum gates with donors in germanium. Physical review. B.. 94(20). 7 indexed citations

Pica, Giuseppe, Gary Wolfowicz, Matias Urdampilleta, et al.. (2014). Hyperfine Stark effect of shallow donors in silicon. Physical Review B. 90(19). 37 indexed citations

10.

Pica, Giuseppe, Brendon W. Lovett, R. N. Bhatt, & S. A. Lyon. (2014). Exchange coupling between silicon donors: The crucial role of the central cell and mass anisotropy. Physical Review B. 89(23). 21 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.

Explore authors with similar magnitude of impact