Lora G. Weiss

23 papers and 342 indexed citations i.

About

Lora G. Weiss is a scholar working on Computer Vision and Pattern Recognition, Oceanography and Artificial Intelligence. According to data from OpenAlex, Lora G. Weiss has authored 23 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Oceanography and 5 papers in Artificial Intelligence. Recurrent topics in Lora G. Weiss’s work include Underwater Acoustics Research (7 papers), Image and Signal Denoising Methods (6 papers) and Ultrasonics and Acoustic Wave Propagation (4 papers). Lora G. Weiss is often cited by papers focused on Underwater Acoustics Research (7 papers), Image and Signal Denoising Methods (6 papers) and Ultrasonics and Acoustic Wave Propagation (4 papers). Lora G. Weiss collaborates with scholars based in United States. Lora G. Weiss's co-authors include B. W. Turnbull, Henrik I. Christensen, Leon H. Sibul, Randy K. Young, Charles L. Isbell, Karthik Narayan, Adrian S. Lewis and Erica Briscoe and has published in prestigious journals such as Biometrics, The Journal of the Acoustical Society of America and IEEE Signal Processing Magazine.

In The Last Decade

Co-authorship network of co-authors of Lora G. Weiss i

Fields of papers citing papers by Lora G. Weiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lora G. Weiss

Since Specialization
Citations

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