Pablo Arrighi

135 total papers · 1.3k total citations
50 papers, 572 citations indexed

About

Pablo Arrighi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Pablo Arrighi has authored 50 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 27 papers in Computational Theory and Mathematics and 22 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Pablo Arrighi's work include Quantum Computing Algorithms and Architecture (29 papers), Cellular Automata and Applications (15 papers) and Quantum Information and Cryptography (14 papers). Pablo Arrighi is often cited by papers focused on Quantum Computing Algorithms and Architecture (29 papers), Cellular Automata and Applications (15 papers) and Quantum Information and Cryptography (14 papers). Pablo Arrighi collaborates with scholars based in France, Germany and Spain. Pablo Arrighi's co-authors include Louis Salvail, Stefano Facchini, Gilles Dowek, Giuseppe Di Molfetta, Vincent Nesme, Reinhard F. Werner, A. Pérez, Terry Farrelly, Simon Martiel and Cédric Bény and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Pablo Arrighi

45 papers receiving 562 citations

Author Peers

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

Author						Papers	Cites
Pablo Arrighi	458	357	225	52	17	50	572
Daniel Nagaj	513 1.1×	409 1.1×	123 0.5×	48 0.9×	9 0.5×	29	649
Martín Larocca	595 1.3×	309 0.9×	103 0.5×	37 0.7×	10 0.6×	24	692
Zhaokai Li	487 1.1×	370 1.0×	92 0.4×	29 0.6×	6 0.4×	28	639
Aleksander Kubica	452 1.0×	234 0.7×	203 0.9×	17 0.3×	31 1.8×	25	549
Crystal Noel	422 0.9×	427 1.2×	43 0.2×	57 1.1×	6 0.4×	17	567
Takayuki Miyadera	550 1.2×	594 1.7×	43 0.2×	220 4.2×	8 0.5×	42	681
Frank Gaitan	413 0.9×	314 0.9×	115 0.5×	33 0.6×	6 0.4×	41	597
Zbigniew Puchała	482 1.1×	458 1.3×	48 0.2×	152 2.9×	4 0.2×	49	610
Chris Heunen	318 0.7×	235 0.7×	206 0.9×	55 1.1×	5 0.3×	61	582
Jason Dominy	343 0.7×	331 0.9×	60 0.3×	50 1.0×	15 0.9×	20	497

Countries citing papers authored by Pablo Arrighi

Since Specialization

Citations

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

Fields of papers citing papers by Pablo Arrighi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Arrighi

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