Jeremy Nixon

About

Jeremy Nixon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Accounting. According to data from OpenAlex, Jeremy Nixon has authored 4 papers receiving a total of 23 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Accounting. Recurrent topics in Jeremy Nixon’s work include Advanced Neural Network Applications (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Machine Learning and Algorithms (1 paper). Jeremy Nixon is often cited by papers focused on Advanced Neural Network Applications (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Machine Learning and Algorithms (1 paper). Jeremy Nixon collaborates with scholars based in United States. Jeremy Nixon's co-authors include Dustin Tran, Michael W. Dusenberry, Ghassen Jerfel, Linchuan Zhang, Niru Maheswaranathan, C. Daniel Freeman, Jascha Sohl‐Dickstein and Luke Metz and has published in prestigious journals such as International Journal of Innovative Technology and Exploring Engineering, arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Jeremy Nixon i

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Fields of papers citing papers by Jeremy Nixon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jeremy Nixon

Since Specialization

Citations

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

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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