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".
David M. Groppe
Orcid: 0000-0002-3282-2514
According to our database1,
David M. Groppe
authored at least 14 papers
between 2009 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
2020
IEEE Trans. Signal Inf. Process. over Networks, 2020
2019
Adaptively Clock-Boosted Auto-Ranging Responsive Neurostimulator for Emerging Neuromodulation Applications.
, , , , , , , , , ,
Proceedings of the IEEE International Solid- State Circuits Conference, 2019
2018
NURIP: Neural Interface Processor for Brain-State Classification and Programmable-Waveform Neurostimulation.
IEEE J. Solid State Circuits, 2018
A recursive-memory brain-state classifier with 32-channel track-and-zoom Δ<sup>2</sup> Σ ADCs and Charge-Balanced Programmable Waveform Neurostimulators.
, , , , , ,
Proceedings of the 2018 IEEE International Solid-State Circuits Conference, 2018
, , , , , ,
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018
2017
Evaluation of cortical local field potential diffusion in stereotactic electro-encephalography recordings: A glimpse on white matter signal.
, , , , , ,
NeuroImage, 2017
The Hippocampus and Amygdala Are Integrators of Neocortical Influence: A CorticoCortical Evoked Potential Study.
, , , , , , ,
Brain Connect., 2017
, , , , ,
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017
2016
Combining task-evoked and spontaneous activity to improve pre-operative brain mapping with fMRI.
, , , , , , , , , ,
NeuroImage, 2016
2013
Dominant frequencies of resting human brain activity as measured by the electrocorticogram.
, , , , , ,
NeuroImage, 2013
2009
NeuroImage, 2009