Nadia Kreimer

4 papers and 238 indexed citations i.

About

Nadia Kreimer is a scholar working on Geophysics, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Nadia Kreimer has authored 4 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Geophysics, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Mechanics. Recurrent topics in Nadia Kreimer’s work include Seismic Imaging and Inversion Techniques (4 papers), Sparse and Compressive Sensing Techniques (2 papers) and Image and Signal Denoising Methods (2 papers). Nadia Kreimer is often cited by papers focused on Seismic Imaging and Inversion Techniques (4 papers), Sparse and Compressive Sensing Techniques (2 papers) and Image and Signal Denoising Methods (2 papers). Nadia Kreimer collaborates with scholars based in Canada. Nadia Kreimer's co-authors include Mauricio D. Sacchi and Aaron Stanton and has published in prestigious journals such as Geophysics, IEEE International Conference on Acoustics Speech and Signal Processing and Proceedings.

In The Last Decade

Co-authorship network of co-authors of Nadia Kreimer i

Fields of papers citing papers by Nadia Kreimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nadia Kreimer

Since Specialization
Citations

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