D. J. Cox
- Artificial Intelligence
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Management Science and Operations Research
- Computer Vision and Pattern Recognition
- Co-authors
- Nicolas PintoJames BergstraJohannes de Fine LichtAdrian M. CaulfieldDaniel LoDoug BurgerAlessandro ForinKen Eguro
- Topics
- Parallel Computing and Optimization Techniques (1 paper)Advanced Neural Network Applications (1 paper)Machine Learning and Data Classification (1 paper)
- Journals
- Proceedings of the ACM on Programming LanguagesProceedings of the Python in Science Conferences
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
D. J. Cox
2 papers receiving 69 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 31
- Electrical and Electronic Engineering 15
- Control and Systems Engineering 9
- Management Science and Operations Research 9
- Computer Vision and Pattern Recognition 8
Countries citing papers authored by D. J. Cox
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 73 |
About D. J. Cox
D. J. Cox is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 2 papers that have together received 74 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (1 paper), Advanced Neural Network Applications (1 paper) and Machine Learning and Data Classification (1 paper). The work is most often cited by research in Artificial Intelligence (31 citations), Health Informatics (1 citation) and Management Science and Operations Research (9 citations). D. J. Cox has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Nicolas Pinto, James Bergstra, Johannes de Fine Licht, Adrian M. Caulfield, Daniel Lo, Doug Burger, Alessandro Forin and Ken Eguro. Their work appears in journals such as Proceedings of the ACM on Programming Languages and Proceedings of the Python in Science Conferences.
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.