Tammy Riklin Raviv

40 papers and 1.0k indexed citations i.

About

Tammy Riklin Raviv is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics. According to data from OpenAlex, Tammy Riklin Raviv has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 12 papers in Biophysics. Recurrent topics in Tammy Riklin Raviv’s work include Medical Image Segmentation Techniques (15 papers), Cell Image Analysis Techniques (12 papers) and AI in cancer detection (7 papers). Tammy Riklin Raviv is often cited by papers focused on Medical Image Segmentation Techniques (15 papers), Cell Image Analysis Techniques (12 papers) and AI in cancer detection (7 papers). Tammy Riklin Raviv collaborates with scholars based in Israel, United States and Canada. Tammy Riklin Raviv's co-authors include Amnon Shashua, Assaf Arbelle, Nahum Kiryati, Polina Golland, Nir Sochen, Anne E. Carpenter, Vebjorn Ljosa, Ronel Veksler, Frederick M. Ausubel and Annie L. Conery and has published in prestigious journals such as Bioinformatics, NeuroImage and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Tammy Riklin Raviv i

Fields of papers citing papers by Tammy Riklin Raviv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tammy Riklin Raviv. 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 Tammy Riklin Raviv. The network helps show where Tammy Riklin Raviv may publish in the future.

Countries citing papers authored by Tammy Riklin Raviv

Since Specialization
Citations

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