Marc A. Viredaz

29 total papers · 555 total citations
21 papers, 384 citations indexed

About

Marc A. Viredaz is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Marc A. Viredaz has authored 21 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hardware and Architecture, 11 papers in Electrical and Electronic Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Marc A. Viredaz's work include Parallel Computing and Optimization Techniques (10 papers), Neural Networks and Applications (8 papers) and Distributed and Parallel Computing Systems (5 papers). Marc A. Viredaz is often cited by papers focused on Parallel Computing and Optimization Techniques (10 papers), Neural Networks and Applications (8 papers) and Distributed and Parallel Computing Systems (5 papers). Marc A. Viredaz collaborates with scholars based in Switzerland, United States and Japan. Marc A. Viredaz's co-authors include Deborah A. Wallach, Lawrence S. Brakmo, Paolo Ienne, William R. Hamburgen, Carl A. Waldspurger, Christian Lehmann, Keith I. Farkas, Timothy Mann, Joel F. Bartlett and Marco Annaratone and has published in prestigious journals such as Physics Reports, Computer and IEEE Transactions on Computers.

In The Last Decade

Marc A. Viredaz

20 papers receiving 335 citations

Author Peers

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

Author						Papers	Cites
Marc A. Viredaz	184	156	146	86	70	21	384
Pasquale Davide Schiavone	245 1.3×	98 0.6×	183 1.3×	88 1.0×	85 1.2×	22	446
Marc Duranton	177 1.0×	110 0.7×	152 1.0×	93 1.1×	68 1.0×	36	375
David Johnson	234 1.3×	253 1.6×	72 0.5×	36 0.4×	55 0.8×	22	396
David Biancolin	172 0.9×	162 1.0×	280 1.9×	88 1.0×	28 0.4×	13	419
Amit Kulkarni	76 0.4×	210 1.3×	129 0.9×	98 1.1×	36 0.5×	30	389
Akshay Jain	163 0.9×	148 0.9×	71 0.5×	125 1.5×	87 1.2×	21	394
Darshika G. Perera	107 0.6×	82 0.5×	137 0.9×	104 1.2×	47 0.7×	37	357
Shau-Yin Tseng	69 0.4×	123 0.8×	151 1.0×	91 1.1×	178 2.5×	43	375
T. Kilburn	71 0.4×	176 1.1×	147 1.0×	83 1.0×	47 0.7×	26	419
Howard Mao	143 0.8×	155 1.0×	238 1.6×	90 1.0×	30 0.4×	11	398

Countries citing papers authored by Marc A. Viredaz

Since Specialization

Citations

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

Fields of papers citing papers by Marc A. Viredaz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc A. Viredaz. 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 Marc A. Viredaz. The network helps show where Marc A. Viredaz may publish in the future.

Co-authorship network of co-authors of Marc A. Viredaz

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