Michel Daydé

803 total citations
8 papers, 386 citations indexed

About

Michel Daydé is a scholar working on Computer Networks and Communications, Hardware and Architecture and Numerical Analysis. According to data from OpenAlex, Michel Daydé has authored 8 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Networks and Communications, 2 papers in Hardware and Architecture and 1 paper in Numerical Analysis. Recurrent topics in Michel Daydé's work include Parallel Computing and Optimization Techniques (2 papers), Advanced Data Storage Technologies (2 papers) and Distributed and Parallel Computing Systems (2 papers). Michel Daydé is often cited by papers focused on Parallel Computing and Optimization Techniques (2 papers), Advanced Data Storage Technologies (2 papers) and Distributed and Parallel Computing Systems (2 papers). Michel Daydé collaborates with scholars based in France, United States and Japan. Michel Daydé's co-authors include Raymond Namyst, Eddy Caron, Franck Cappello, Emmanuel Jeannot, Stéphane Lanteri, Frédéric Desprez, Pascale Vicat-Blanc Primet, Benjamin Quétier, Yvon Jégou and Olivier Richard and has published in prestigious journals such as Journal of Optimization Theory and Applications, Lecture notes in computer science and The International Journal of High Performance Computing Applications.

In The Last Decade

Michel Daydé

8 papers receiving 364 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michel Daydé France	6	289	159	110	38	37	8	386
Julien Leduc Switzerland	6	369 1.3×	181 1.1×	124 1.1×	54 1.4×	38 1.0×	20	463
Dennis Gannon United States	7	263 0.9×	83 0.5×	215 2.0×	28 0.7×	49 1.3×	22	406
Asim YarKhan United States	14	411 1.4×	174 1.1×	396 3.6×	52 1.4×	48 1.3×	35	567
R. Biswas United States	11	311 1.1×	121 0.8×	222 2.0×	20 0.5×	61 1.6×	32	434
Fengguang Song United States	11	306 1.1×	110 0.7×	258 2.3×	22 0.6×	44 1.2×	43	391
Hans-Werner Meuer Germany	4	325 1.1×	105 0.7×	283 2.6×	15 0.4×	34 0.9×	7	450
Helmar Burkhart Switzerland	8	202 0.7×	47 0.3×	237 2.2×	11 0.3×	67 1.8×	29	371
Christian Terboven Germany	9	179 0.6×	90 0.6×	155 1.4×	6 0.2×	48 1.3×	41	300
Ian Karlin United States	12	339 1.2×	120 0.8×	376 3.4×	13 0.3×	63 1.7×	39	518
Che–Rung Lee Taiwan	10	131 0.5×	81 0.5×	75 0.7×	9 0.2×	47 1.3×	54	298

Countries citing papers authored by Michel Daydé

Since Specialization

Citations

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

Fields of papers citing papers by Michel Daydé

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Daydé

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Daydé. A scholar is included among the top collaborators of Michel Daydé 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 Michel Daydé. Michel Daydé is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Daydé, Michel, Osni Marques, & Kengo Nakajima. (2015). High Performance Computing for Computational Science -- VECPAR 2014. Lecture notes in computer science. 12 indexed citations

2.

Daydé, Michel, et al.. (2015). High performance computing for computational science - VECPAR 2014 : 11th International Conference, Eugene, OR, USA, June 30 - July 3, 2014 : revised selected papers. Medical Entomology and Zoology. 1 indexed citations

3.

Daydé, Michel, Osni Marques, & Kengo Nakajima. (2013). High Performance Computing for Computational Science - VECPAR 2012. Lecture notes in computer science. 18 indexed citations

4.

Daydé, Michel, et al.. (2007). High performance computing for computational science - VECPAR 2006 : 7th International Conference, Rio de Janeiro, Brazil, June 10-13, 2006 : revised selected and invited papers. Springer eBooks. 2 indexed citations

5.

Bolze, Raphaël, Franck Cappello, Eddy Caron, et al.. (2006). Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed. The International Journal of High Performance Computing Applications. 20(4). 481–494. 225 indexed citations

6.

Cappello, Franck, Eddy Caron, Michel Daydé, et al.. (2005). Grid'5000: a large scale and highly reconfigurable grid experimental testbed. 8 pp.–8 pp.. 117 indexed citations

7.

Daydé, Michel, et al.. (2005). High Performance Computing for Computational Science - VECPAR 2004. Lecture notes in computer science. 6 indexed citations

8.

Daydé, Michel. (1989). Parallel algorithms for nonlinear programming problems. Journal of Optimization Theory and Applications. 61(1). 23–46. 5 indexed citations

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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