Cécile Germain

2.0k citations
27 papers · 630 · h-index 9

Impact in

Papers in

Cécile Germain

24 papers receiving 591 citations

Peers

Cécile Germain
Comparison fields: 5 of 71
  • Hardware and Architecture 227
  • Computer Networks and Communications 483
  • Information Systems and Management 55
  • Information Systems 178
  • Artificial Intelligence 102
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Citations per field
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Citations per year

Countries citing papers authored by Cécile Germain

Since Specialization
Citations

This map shows the geographic impact of Cécile Germain'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 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 more than expected).

Fields of papers citing papers by Cécile Germain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cécile Germain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cécile Germain Line = papers co-authored together Cécile Germain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002206
2 2002171
3 201971
4 200266
5 200518
6 201917
7 200216
8 201515
9 200713
10 20196
11 20174
12
Proceedings of the 2014 International Conference on High-Energy Physics and Machine Learning - Volume 42
20144
13 20193
14 19953
15 20153
16 19933
17 19942
18
The TrackML challenge
20182
19 20132
20 20121

About Cécile Germain

Cécile Germain is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Information Systems and Nuclear and High Energy Physics, having authored 27 papers that have together received 630 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Interconnection Networks and Systems (7 papers), Distributed and Parallel Computing Systems (6 papers), Advanced Data Storage Technologies (4 papers), Distributed systems and fault tolerance (3 papers), Particle physics theoretical and experimental studies (3 papers), Particle Detector Development and Performance (3 papers) and Wikis in Education and Collaboration (2 papers). The work is most often cited by research in Hardware and Architecture (227 citations), Computer Networks and Communications (483 citations), Information Systems and Management (55 citations), Information Systems (178 citations) and Artificial Intelligence (102 citations). Cécile Germain has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Franck Cappello, Vincent Néri, Gilles Fedak, F. Magniette, George Bosilca, Thomas Hérault, Pierre Lemarinier, Oleg Lodygensky, Aurélien Bouteiller and M. Pierini. Their work appears in journals such as Future Generation Computer Systems, ACM Transactions on Autonomous and Adaptive Systems, Journal of Clinical Monitoring and Computing, Scientific Programming and Parallel Processing Letters.

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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