Tanya Schmah

24 papers and 566 indexed citations i.

About

Tanya Schmah is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Tanya Schmah has authored 24 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Tanya Schmah’s work include Neural Networks and Applications (4 papers), Medical Image Segmentation Techniques (4 papers) and Medical Imaging Techniques and Applications (3 papers). Tanya Schmah is often cited by papers focused on Neural Networks and Applications (4 papers), Medical Image Segmentation Techniques (4 papers) and Medical Imaging Techniques and Applications (3 papers). Tanya Schmah collaborates with scholars based in Canada, United States and Australia. Tanya Schmah's co-authors include Paul E. Rapp, A. M. Albano, Lawrence A. Farwell, Cristina Stoica, David Ellis, Darryl D. Holm, Steven L. Small, Stephen C. Strother, Grigori Yourganov and Geoffrey E. Hinton and has published in prestigious journals such as NeuroImage, IEEE Access and Medical Physics.

In The Last Decade

Co-authorship network of co-authors of Tanya Schmah i

Fields of papers citing papers by Tanya Schmah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tanya Schmah

Since Specialization
Citations

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