Mark Sandler

6 papers and 5.2k indexed citations i.

About

Mark Sandler is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Mark Sandler has authored 6 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Mark Sandler’s work include Advanced Neural Network Applications (4 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Mark Sandler is often cited by papers focused on Advanced Neural Network Applications (4 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Mark Sandler collaborates with scholars based in United States. Mark Sandler's co-authors include Andrew Howard, Ruoming Pang, Mingxing Tan, Bo Chen, Vijay Vasudevan, Quoc V. Le, Liang-Chieh Chen, Yukun Zhu, Weijun Wang and Grace Chu and has published in prestigious journals such as Pattern Recognition, 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 Mark Sandler i

Fields of papers citing papers by Mark Sandler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mark Sandler

Since Specialization
Citations

This map shows the geographic impact of Mark Sandler'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 Mark Sandler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Sandler 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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2025