Spencer Whitehead

11 papers and 1.8k indexed citations i.

About

Spencer Whitehead is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Spencer Whitehead has authored 11 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Spencer Whitehead’s work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Multimodal Machine Learning Applications (4 papers). Spencer Whitehead is often cited by papers focused on Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Multimodal Machine Learning Applications (4 papers). Spencer Whitehead collaborates with scholars based in United States, China and New Zealand. Spencer Whitehead's co-authors include Alexander M. Kirillov, Wan‐Yen Lo, Nikhila Ravi, Eric Mintun, Piotr Dollár, Ross Girshick, Laura Gustafson, Alexander C. Berg, Tete Xiao and Hanzi Mao and has published in prestigious journals such as Theory and applications of categories, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Spencer Whitehead i

Fields of papers citing papers by Spencer Whitehead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Spencer Whitehead

Since Specialization
Citations

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