Daniel E. Worrall

9 papers and 433 indexed citations i.

About

Daniel E. Worrall is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Daniel E. Worrall has authored 9 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Daniel E. Worrall’s work include Advanced Neural Network Applications (3 papers), Advanced Vision and Imaging (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Daniel E. Worrall is often cited by papers focused on Advanced Neural Network Applications (3 papers), Advanced Vision and Imaging (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Daniel E. Worrall collaborates with scholars based in United Kingdom, The Netherlands and Italy. Daniel E. Worrall's co-authors include Gabriel Brostow, Stephan J. Garbin, Daniyar Turmukhambetov, Max Welling, Enrico Kaden, Alberto Bizzi, Stamatios N. Sotiropoulos, Francesco Grussu, Antonio Criminisi and Daniel C. Alexander and has published in prestigious journals such as NeuroImage, Scientific Reports and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Daniel E. Worrall i

Fields of papers citing papers by Daniel E. Worrall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Worrall. 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 Daniel E. Worrall. The network helps show where Daniel E. Worrall may publish in the future.

Countries citing papers authored by Daniel E. Worrall

Since Specialization
Citations

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