Benjamin Villalonga

45 total papers · 1.7k total citations
5 papers, 65 citations indexed

About

Benjamin Villalonga is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Benjamin Villalonga has authored 5 papers receiving a total of 65 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 1 paper in Computer Networks and Communications. Recurrent topics in Benjamin Villalonga's work include Quantum Computing Algorithms and Architecture (4 papers), Quantum Information and Cryptography (3 papers) and Computability, Logic, AI Algorithms (1 paper). Benjamin Villalonga is often cited by papers focused on Quantum Computing Algorithms and Architecture (4 papers), Quantum Information and Cryptography (3 papers) and Computability, Logic, AI Algorithms (1 paper). Benjamin Villalonga collaborates with scholars based in United States and Switzerland. Benjamin Villalonga's co-authors include Sergio Boixo, Alexander Zlokapa, Daniel A. Lidar, Bryan K. Clark, Salvatore Mandrà, Xiao Mi, Sergei V. Isakov, Kostyantyn Kechedzhi, Vadim Smelyanskiy and Rupak Biswas and has published in prestigious journals such as Future Generation Computer Systems, npj Quantum Information and Physical Review Research.

In The Last Decade

Benjamin Villalonga

5 papers receiving 60 citations

Author Peers

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

Author						Papers	Cites
Benjamin Villalonga	56	37	9	6	5	5	65
Mitchell Matheny	50 0.9×	46 1.2×	10 1.1×	8 1.3×	8 1.6×	5	81
N. Ladizinsky	56 1.0×	50 1.4×	6 0.7×	5 0.8×	5 1.0×	2	66
Matthew Treinish	37 0.7×	17 0.5×	7 0.8×	5 0.8×	3 0.6×	3	52
Chong Ying	104 1.9×	80 2.2×	11 1.2×	6 1.0×	7 1.4×	4	122
Xiaotong Ni	59 1.1×	35 0.9×	8 0.9×	6 1.0×	5 1.0×	8	90
P. H. Beauchemin	37 0.7×	39 1.1×	3 0.3×	2 0.3×	3 0.6×	4	96
Kevin Krsulich	42 0.8×	21 0.6×	9 1.0×	5 0.8×		4	50
Angus Lowe	58 1.0×	40 1.1×	7 0.8×	13 2.2×	1 0.2×	4	71
Gabrielle Roberts	90 1.6×	81 2.2×	5 0.6×	6 1.0×	7 1.4×	3	105
Wojciech Mruczkiewicz	65 1.2×	57 1.5×	8 0.9×	6 1.0×	6 1.2×	6	91

Countries citing papers authored by Benjamin Villalonga

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin Villalonga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Villalonga

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