Gianvito Urgese

89 total papers · 1.2k total citations
50 papers, 625 citations indexed

About

Gianvito Urgese is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Gianvito Urgese has authored 50 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 16 papers in Molecular Biology and 12 papers in Cognitive Neuroscience. Recurrent topics in Gianvito Urgese's work include Advanced Memory and Neural Computing (21 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Neural dynamics and brain function (11 papers). Gianvito Urgese is often cited by papers focused on Advanced Memory and Neural Computing (21 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Neural dynamics and brain function (11 papers). Gianvito Urgese collaborates with scholars based in Italy, United States and United Kingdom. Gianvito Urgese's co-authors include Enrico Macii, Andrea Acquaviva, Elisa Ficarra, Santa Di Cataldo, Alberto Macii, Knut Reinert, Jörg Winkler, Paolo Azzoni, Svenja Mehringer and David Weese and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Gianvito Urgese

46 papers receiving 614 citations

Author Peers

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

Author						Papers	Cites
Gianvito Urgese	219	205	116	100	85	50	625
Rong Yao	154 0.7×	244 1.2×	79 0.7×	49 0.5×	58 0.7×	56	781
István Harmati	51 0.2×	115 0.6×	64 0.6×	71 0.7×	56 0.7×	86	567
Ning Lin	205 0.9×	91 0.4×	111 1.0×	22 0.2×	31 0.4×	73	622
Zhicai Liu	94 0.4×	154 0.8×	135 1.2×	43 0.4×	21 0.2×	71	714
Chengyao Wang	83 0.4×	59 0.3×	26 0.2×	29 0.3×	23 0.3×	44	678
Qi Yan	57 0.3×	60 0.3×	141 1.2×	11 0.1×	24 0.3×	88	613
Fábio A. M. Cappabianco	81 0.4×	127 0.6×	87 0.8×	12 0.1×	22 0.3×	40	639
Jun Lv	39 0.2×	221 1.1×	39 0.3×	103 1.0×	58 0.7×	40	762
Xiangtao Chen	175 0.8×	225 1.1×	80 0.7×	114 1.1×	7 0.1×	67	671
Xue Wang	48 0.2×	110 0.5×	129 1.1×	31 0.3×	56 0.7×	99	727

Countries citing papers authored by Gianvito Urgese

Since Specialization

Citations

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

Fields of papers citing papers by Gianvito Urgese

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianvito Urgese

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