Cécile Germain‐Renaud

461 citations
21 papers · 296 indexed · h-index 11
Topics
Distributed and Parallel Computing Systems (16 papers)Parallel Computing and Optimization Techniques (5 papers)Scientific Computing and Data Management (5 papers)

In The Last Decade

Cécile Germain‐Renaud

21 papers receiving 277 citations

Peers

Cécile Germain‐Renaud
Comparison fields: 5 of 82
  • Computer Networks and Communications 138
  • Artificial Intelligence 118
  • Information Systems 98
  • Hardware and Architecture 35
  • Information Systems and Management 31
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Citations per year

Countries citing papers authored by Cécile Germain‐Renaud

Since Specialization
Citations

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

Fields of papers citing papers by Cécile Germain‐Renaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cécile Germain‐Renaud. 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 Cécile Germain‐Renaud. The network helps show where Cécile Germain‐Renaud may publish in the future.

Co-authorship network of co-authors of Cécile Germain‐Renaud

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 51
2 73
3 4
4
The Green Computing Observatory: a data curation approach for green IT
1
5 3
6 4
7 12
8
Proceedings of the 6th international conference industry session on Grids meets autonomic computing
1
9 3
10 17
11 18
12 14
13 11
14 6
15 31
16
Grid scheduling for interactive analysis.
2
17 10
18 7
19 2
20 13

About Cécile Germain‐Renaud

Cécile Germain‐Renaud is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems and Management, having authored 21 papers that have together received 296 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (16 papers), Parallel Computing and Optimization Techniques (5 papers) and Scientific Computing and Data Management (5 papers). The work is most often cited by research in Computer Networks and Communications (138 citations), Hardware and Architecture (35 citations) and Information Systems and Management (31 citations). Cécile Germain‐Renaud has collaborated with scholars based in France, United Kingdom and Switzerland. Frequent co-authors include Michèle Sébag, Xiangliang Zhang, Cyril Furtlehner, Charles Loomis, Julien Pérez, Carole Adam, B. Kégl, Isabelle Guyon, G. Cowan and Omer Rana. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Applied Soft Computing and IEEE Internet Computing.

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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