Antonio Pazienti

34 total papers · 491 total citations
13 papers, 307 citations indexed

About

Antonio Pazienti is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Antonio Pazienti has authored 13 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 11 papers in Cellular and Molecular Neuroscience and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Antonio Pazienti's work include Neural dynamics and brain function (9 papers), Photoreceptor and optogenetics research (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Antonio Pazienti is often cited by papers focused on Neural dynamics and brain function (9 papers), Photoreceptor and optogenetics research (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Antonio Pazienti collaborates with scholars based in Italy, Spain and Germany. Antonio Pazienti's co-authors include Alberto Bacci, Sonja Grün, Charlotte Deleuze, Miguel Dasilva, María V. Sánchez-Vives, Maurizio Mattia, Pablo Méndez, Gábor Szabó, Joana Lourenço and Lorena Perez-Mendez and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Brain Research.

In The Last Decade

Antonio Pazienti

12 papers receiving 301 citations

Author Peers

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

Author						Papers	Cites
Antonio Pazienti	249	182	36	32	20	13	307
Daniela Bianchi	211 0.8×	151 0.8×	51 1.4×	31 1.0×	20 1.0×	8	355
Julia Berzhanskaya	270 1.1×	130 0.7×	42 1.2×	15 0.5×	18 0.9×	12	313
Christian G. Fink	154 0.6×	198 1.1×	100 2.8×	46 1.4×	22 1.1×	22	347
Homeira Moradi Chameh	183 0.7×	213 1.2×	47 1.3×	21 0.7×	11 0.6×	17	280
Jacob Duijnhouwer	217 0.9×	151 0.8×	43 1.2×	24 0.8×	34 1.7×	16	301
Andreas Herzog	120 0.5×	162 0.9×	86 2.4×	30 0.9×	10 0.5×	26	336
Daniel Jercog	243 1.0×	150 0.8×	44 1.2×	23 0.7×	13 0.7×	8	321
Tahra L. Eissa	204 0.8×	131 0.7×	58 1.6×	13 0.4×	33 1.6×	11	298
Ke Wei	148 0.6×	173 1.0×	94 2.6×	48 1.5×	22 1.1×	18	363
Craig V. Stewart	172 0.7×	124 0.7×	51 1.4×	38 1.2×	12 0.6×	8	267

Countries citing papers authored by Antonio Pazienti

Since Specialization

Citations

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

Fields of papers citing papers by Antonio Pazienti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Pazienti

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