Laura Reden

8 papers and 336 indexed citations i.

About

Laura Reden is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Laura Reden has authored 8 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Biomedical Engineering and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Laura Reden’s work include Medical Image Segmentation Techniques (7 papers), Medical Imaging and Analysis (3 papers) and Brain Tumor Detection and Classification (3 papers). Laura Reden is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Medical Imaging and Analysis (3 papers) and Brain Tumor Detection and Classification (3 papers). Laura Reden collaborates with scholars based in United States, United Kingdom and Finland. Laura Reden's co-authors include S. Laxminarayan, Kecheng Liu, Jasjit S. Suri, Sameer Singh, Xiaolan Zeng, Jasjit S. Suri, Dee Wu, Swamy Laxminarayan and Jianbo Gao and has published in prestigious journals such as Pattern Analysis and Applications, International Journal of Image and Graphics and IEEE Transactions on Information Technology in Biomedicine.

In The Last Decade

Co-authorship network of co-authors of Laura Reden i

Fields of papers citing papers by Laura Reden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laura Reden

Since Specialization
Citations

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