James Sharpnack

27 papers and 222 indexed citations
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About

James Sharpnack is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, James Sharpnack has authored 27 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Statistics and Probability and 5 papers in Molecular Biology. Recurrent topics in James Sharpnack’s work include Statistical Methods and Inference (8 papers), Bayesian Methods and Mixture Models (4 papers) and Image and Signal Denoising Methods (4 papers). James Sharpnack is often cited by papers focused on Statistical Methods and Inference (8 papers), Bayesian Methods and Mixture Models (4 papers) and Image and Signal Denoising Methods (4 papers). James Sharpnack collaborates with scholars based in United States, France and Canada. James Sharpnack's co-authors include Aarti Singh, Alessandro Rinaldo, Susan Handy, Dillon T. Fitch, Ryan J. Tibshirani, Akshay Krishnamurthy, Oscar Hernán Madrid Padilla, Kevin Lin, Alexander J. Smola and James G. Scott and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Co-authorship network of co-authors of James Sharpnack

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

Fields of papers citing papers by James Sharpnack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James Sharpnack

Since Specialization
Citations

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