Kristen Grauman

169 papers and 11.3k indexed citations i.

About

Kristen Grauman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Kristen Grauman has authored 169 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 148 papers in Computer Vision and Pattern Recognition, 57 papers in Artificial Intelligence and 23 papers in Signal Processing. Recurrent topics in Kristen Grauman’s work include Advanced Image and Video Retrieval Techniques (64 papers), Multimodal Machine Learning Applications (50 papers) and Domain Adaptation and Few-Shot Learning (38 papers). Kristen Grauman is often cited by papers focused on Advanced Image and Video Retrieval Techniques (64 papers), Multimodal Machine Learning Applications (50 papers) and Domain Adaptation and Few-Shot Learning (38 papers). Kristen Grauman collaborates with scholars based in United States, Israel and India. Kristen Grauman's co-authors include Trevor Darrell, Fei Sha, Boqing Gong, Yong Jae Lee, Jaechul Kim, Devi Parikh, Yuan Shi, Sudheendra Vijayanarasimhan, Brian Kulis and Dinesh Jayaraman and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and Tourism Management.

In The Last Decade

Co-authorship network of co-authors of Kristen Grauman i

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Fields of papers citing papers by Kristen Grauman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kristen Grauman

Since Specialization

Citations

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