Linda G. Shapiro

199 papers and 7.2k indexed citations i.

About

Linda G. Shapiro is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Linda G. Shapiro has authored 199 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Computer Vision and Pattern Recognition, 52 papers in Artificial Intelligence and 32 papers in Molecular Biology. Recurrent topics in Linda G. Shapiro’s work include AI in cancer detection (33 papers), Image Retrieval and Classification Techniques (30 papers) and Advanced Image and Video Retrieval Techniques (29 papers). Linda G. Shapiro is often cited by papers focused on AI in cancer detection (33 papers), Image Retrieval and Classification Techniques (30 papers) and Advanced Image and Video Retrieval Techniques (29 papers). Linda G. Shapiro collaborates with scholars based in United States, Türkiye and Iran. Linda G. Shapiro's co-authors include Robert M. Haralick, Robert M. Haralick, Sachin Mehta, Joann G. Elmore, Donald L. Weaver, Hannaneh Hajishirzi, Mohammad Rastegari, Ezgi Mercan, R.M. Haralick and Selim Aksoy and has published in prestigious journals such as PLoS ONE, NeuroImage and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Linda G. Shapiro i

Fields of papers citing papers by Linda G. Shapiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda G. Shapiro. 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 Linda G. Shapiro. The network helps show where Linda G. Shapiro may publish in the future.

Countries citing papers authored by Linda G. Shapiro

Since Specialization
Citations

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