Julian Stander

43 papers and 1.3k indexed citations i.

About

Julian Stander is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Julian Stander has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 12 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Julian Stander’s work include Statistical Methods and Inference (8 papers), Medical Image Segmentation Techniques (5 papers) and Markov Chains and Monte Carlo Methods (4 papers). Julian Stander is often cited by papers focused on Statistical Methods and Inference (8 papers), Medical Image Segmentation Techniques (5 papers) and Markov Chains and Monte Carlo Methods (4 papers). Julian Stander collaborates with scholars based in United Kingdom, Italy and United States. Julian Stander's co-authors include Keming Yu, Zudi Lu, Yuzhi Cai, Jörn Östermann, R. Mech, Paul A. Thompson, David P. Farrington, Rana Moyeed, P. M. E. Altham and Arnoldo Frigessi and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and Nature Geoscience.

In The Last Decade

Co-authorship network of co-authors of Julian Stander i

Fields of papers citing papers by Julian Stander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Julian Stander

Since Specialization
Citations

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