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 90.2% 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 90.2% 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 90.2% of authors are connected to Paul Erdős and the average Erdős number among them is 4.67.
Find more on Wikipedia with an article on the"Erdős number".
In our dataset 90.2% of authors are connected to Paul Erdős and the average Erdős number among them is 4.67.
Find more on Wikipedia with an article on the"Erdős number".
Nicolas Gensollen
Orcid: 0000-0001-7199-9753
According to our database1,
Nicolas Gensollen
authored at least 19 papers
between 2013 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
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Dataset, January, 2025
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Dataset, January, 2025
2024
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Dataset, December, 2024
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Dataset, December, 2024
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Dataset, December, 2024
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Dataset, April, 2024
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Dataset, January, 2024
Continuous evaluation of denoising strategies in resting-state fMRI connectivity using fMRIPrep and Nilearn.
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PLoS Comput. Biol., 2024
2023
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Dataset, October, 2023
A reproducible benchmark of resting-state fMRI denoising strategies using fMRIPrep and Nilearn.
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Dataset, June, 2023
A reproducible benchmark of resting-state fMRI denoising strategies using fMRIPrep and Nilearn.
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Dataset, June, 2023
2020
Do you trade with your friends or become friends with your trading partners? A case study in the $\breve {G}1$ cryptocurrency.
Appl. Netw. Sci., 2020
2019
Do you trade with your friends or become friends with your trading partners? A case study in the G1 cryptocurrency.
CoRR, 2019
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019
2018
Stability and Performance of Coalitions of Prosumers Through Diversification in the Smart Grid.
IEEE Trans. Smart Grid, 2018
2016
Modeling and optimizing a distributed power network : a complex system approach of the "prosumer" management in the smart grid. (Modéliser et optimiser un réseau électrique distribué : une approche des systèmes complexes des "prosumers" dans le smart grid).
PhD thesis, 2016
Proceedings of the 2016 IEEE International Conference on Smart Grid Communications, 2016
2015
Proceedings of the 2015 IEEE International Conference on Communications, 2015
2013
Modeling and optimizing a distributed power network : A complex system approach of the prosumer management in the smart grid
CoRR, 2013