CsAuthors.net database
Most of the data is coming from the
DBLP Computer Science Bibliography
and the rest is coming from CsAuthors.net own database.
We are working hard to keep everything up-to-date. However, we know that there are many papers not yet included in our dataset.
If something is wrong or missing, feel free to write me at
We are working hard to keep everything up-to-date. However, we know that there are many papers not yet included in our dataset.
If something is wrong or missing, feel free to write me at
my email address
.
The "Dijkstra number"
The Dijkstra number describes the collaborative distance between an author and
Edsger W. Dijkstra.
In our dataset 90.3% of authors are connected to Edsger W. Dijkstra and the average Dijkstra number among them is 5.08.
These kind of number/metrics are quite famous and already well defined in other fields.
In our dataset 90.3% of authors are connected to Edsger W. Dijkstra and the average Dijkstra number among them is 5.08.
These kind of number/metrics are quite famous and already well defined in other fields.
- The "Erdős number" expresses the collaborative distance with Paul Erdős, the famous Hungarian mathematician.
- The "Bacon number" expresses the co-acting distance with Kevin Bacon.
The "Erdős number"
The Erdős number describes the collaborative distance between an author and
Paul Erdős.
In our dataset 90.3% of authors are connected to Paul Erdős and the average Erdős number among them is 4.68.
Find more on Wikipedia with an article on the"Erdős number".
In our dataset 90.3% of authors are connected to Paul Erdős and the average Erdős number among them is 4.68.
Find more on Wikipedia with an article on the"Erdős number".
Pierre Rioux
According to our database1,
Pierre Rioux
authored at least 16 papers
between 2014 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
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Dataset, September, 2025
2024
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Dataset, September, 2024
2023
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Dataset, November, 2023
Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN.
, , , , , , , , ,
Frontiers Neuroinformatics, March, 2023
2021
A Simulation Toolkit for Testing the Sensitivity and Accuracy of Corticometry Pipelines.
, , , , , , , , , , , , ,
Frontiers Neuroinformatics, 2021
2020
, , , , , ,
Int. J. High Perform. Comput. Appl., 2020
Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020
2019
Comparing Perturbation Models for Evaluating Stability of Post-Processing Pipelines in Neuroimaging.
, , , , , ,
CoRR, 2019
2018
Integration of "omics" Data and Phenotypic Data Within a Unified Extensible Multimodal Framework.
, , , , , , , , , , , , , , , , ,
Frontiers Neuroinformatics, 2018
2017
, , , , , , , , , , , , ,
Future Gener. Comput. Syst., 2017
Boutiques: a flexible framework for automated application integration in computing platforms.
, , , , , , , , , , , , , , , , , , ,
CoRR, 2017
2016
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NeuroImage, 2016
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Frontiers Neuroinformatics, 2016
2015
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Frontiers Neuroinformatics, 2015
2014
CBRAIN: a web-based, distributed computing platform for collaborative neuroimaging research.
, , , , , , , ,
Frontiers Neuroinformatics, 2014
Controlling the Deployment of Virtual Machines on Clusters and Clouds for Scientific Computing in CBRAIN.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014