Maggie Wigness

About

Maggie Wigness is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Maggie Wigness has authored 14 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Maggie Wigness’s work include Advanced Image and Video Retrieval Techniques (4 papers), Multimodal Machine Learning Applications (3 papers) and Image Retrieval and Classification Techniques (3 papers). Maggie Wigness is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Multimodal Machine Learning Applications (3 papers) and Image Retrieval and Classification Techniques (3 papers). Maggie Wigness collaborates with scholars based in United States, China and Singapore. Maggie Wigness's co-authors include John G. Rogers, Sungmin Eum, David K. Han, Heesung Kwon, J. Ross Beveridge, Bruce A. Draper, Shengzhong Liu, Tarek Abdelzaher, Hao Zhang and Philip David and has published in prestigious journals such as International Journal of Computer Vision, The International Journal of Robotics Research and Real-Time Systems.

In The Last Decade

Co-authorship network of co-authors of Maggie Wigness i

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Fields of papers citing papers by Maggie Wigness

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maggie Wigness

Since Specialization

Citations

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