David Degras

474 total citations
17 papers, 244 citations indexed

About

David Degras is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, David Degras has authored 17 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in David Degras's work include Statistical Methods and Inference (7 papers), Bayesian Methods and Mixture Models (4 papers) and Statistical Methods and Bayesian Inference (3 papers). David Degras is often cited by papers focused on Statistical Methods and Inference (7 papers), Bayesian Methods and Mixture Models (4 papers) and Statistical Methods and Bayesian Inference (3 papers). David Degras collaborates with scholars based in United States, France and Saudi Arabia. David Degras's co-authors include Hervé Cardot, Sanjay Srivastava, Ulrich Mayr, William T. Harbaugh, Martin A. Lindquist, Wei Biao Wu, Kourosh Zarringhalam, Ting Zhang, Zhiwei Xu and Daniel Ziemek and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and NeuroImage.

In The Last Decade

David Degras

16 papers receiving 238 citations

Peers

David Degras
Comparison fields: 5 of 97
  • Artificial Intelligence 51
  • Statistics and Probability 50
  • Cognitive Neuroscience 38
  • Social Psychology 30
  • Sociology and Political Science 23
Replace Ulf K. Mertens with:
Ulf K. Mertens Germany
Matthew J. Vowels United Kingdom
John O. Willis United States
Amin Mousavi Canada
Byungjoon Kim South Korea
Tuan Anh Tran Vietnam
Bruno Lecoutre France
Vincent Brault France
Paul Cooper United Kingdom
Michael Glass United States
Ulf K. Mertens Germany View profile →
Citations per field, relative to David Degras
David Degras · 1×
Citations per year, relative to David Degras
David Degras · 1×

Countries citing papers authored by David Degras

Since Specialization
Citations

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

Fields of papers citing papers by David Degras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Degras

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 1
2 4
3 0
4 8
5 2
6 5
7 15
8 23
9 70
10 58
11 20
12 7
13 2
14 15
15 3
16 9
17 2

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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