D. J. Cox

8.2k total citations
2 papers, 74 citations indexed

About

D. J. Cox is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, D. J. Cox has authored 2 papers receiving a total of 74 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Networks and Communications, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Hardware and Architecture. Recurrent topics in D. J. Cox's work include Parallel Computing and Optimization Techniques (1 paper), Advanced Neural Network Applications (1 paper) and Machine Learning and Data Classification (1 paper). D. J. Cox is often cited by papers focused on Parallel Computing and Optimization Techniques (1 paper), Advanced Neural Network Applications (1 paper) and Machine Learning and Data Classification (1 paper). D. J. Cox collaborates with scholars based in United States, Switzerland and Canada. D. J. Cox's co-authors include Nicolas Pinto, James Bergstra, Johannes de Fine Licht, Adrian M. Caulfield, Daniel Lo, Doug Burger, Alessandro Forin and Ken Eguro and has published in prestigious journals such as Proceedings of the ACM on Programming Languages and Proceedings of the Python in Science Conferences.

In The Last Decade

D. J. Cox

2 papers receiving 69 citations

Peers

Countries citing papers authored by D. J. Cox

Since Specialization

Citations

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

Fields of papers citing papers by D. J. Cox

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. J. Cox. 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 D. J. Cox. The network helps show where D. J. Cox may publish in the future.

Co-authorship network of co-authors of D. J. Cox

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

All Works

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2 of 2 papers shown

#	Title	Journal	Authors	Indexed citations
1	Wavefront Threading Enables Effective High-Level Synthesis	Proceedings of the ACM on Programming Languages	Ken Eguro, Daniel Lo et al.	1
2	SkData: Data Sets and Algorithm Evaluation Protocols in Python	Proceedings of the Python in Science Conferences	James Bergstra, Nicolas Pinto et al.	73

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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