Jonathan Crabbé

480 total citations
3 papers, 8 citations indexed

About

Jonathan Crabbé is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Ocean Engineering. According to data from OpenAlex, Jonathan Crabbé has authored 3 papers receiving a total of 8 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Statistical and Nonlinear Physics and 1 paper in Ocean Engineering. Recurrent topics in Jonathan Crabbé's work include Geochemistry and Geologic Mapping (1 paper), Advanced Image Fusion Techniques (1 paper) and Neural Networks and Applications (1 paper). Jonathan Crabbé is often cited by papers focused on Geochemistry and Geologic Mapping (1 paper), Advanced Image Fusion Techniques (1 paper) and Neural Networks and Applications (1 paper). Jonathan Crabbé collaborates with scholars based in United Kingdom and United States. Jonathan Crabbé's co-authors include Fergus Imrie, Mihaela van der Schaar, Zhaozhi Qian, William R. Zame, Yao Zhang and Michal Shimoni and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Jonathan Crabbé

2 papers receiving 8 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jonathan Crabbé United Kingdom	2	8	2	1	1	1	3	8
Artidoro Pagnoni United States	2	6 0.8×	2 1.0×		1 1.0×	1 1.0×	4	10
Peter Bell United Kingdom	2	5 0.6×	3 1.5×				3	5
Sibt ul Hussain Pakistan	3	9 1.1×	1 0.5×		1 1.0×	1 1.0×	3	11
C. Luo China	3	7 0.9×					3	9
G. X. Sun China	2	7 0.9×	1 0.5×			1 1.0×	4	10
Tom Arodz United States	2	10 1.3×					2	12
Duligur Ibeling United States	2	10 1.3×					4	11
L. Zhao China	3	7 0.9×	1 0.5×		1 1.0×	1 1.0×	6	14
S. X. Du China	3	4 0.5×	2 1.0×			1 1.0×	15	11
Andrew Lee United States	2	6 0.8×					4	10

Countries citing papers authored by Jonathan Crabbé

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Crabbé

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Crabbé

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

All Works

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3 of 3 papers shown

1.

Crabbé, Jonathan, et al.. (2023). Explaining the Absorption Features of Deep Learning Hyperspectral Classification Models. 958–961.

2.

Crabbé, Jonathan, Zhaozhi Qian, Fergus Imrie, & Mihaela van der Schaar. (2021). Explaining Latent Representations with a Corpus of Examples. arXiv (Cornell University). 34. 7 indexed citations

3.

Crabbé, Jonathan, Yao Zhang, William R. Zame, & Mihaela van der Schaar. (2020). Learning outside the Black-Box: The pursuit of interpretable models. arXiv (Cornell University). 33. 17838–17849. 1 indexed citations

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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