Tamara von Glehn

About

Tamara von Glehn is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Tamara von Glehn has authored 3 papers receiving a total of 20 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Tamara von Glehn’s work include Homotopy and Cohomology in Algebraic Topology (1 paper), Multimodal Machine Learning Applications (1 paper) and Logic, programming, and type systems (1 paper). Tamara von Glehn is often cited by papers focused on Homotopy and Cohomology in Algebraic Topology (1 paper), Multimodal Machine Learning Applications (1 paper) and Logic, programming, and type systems (1 paper). Tamara von Glehn collaborates with scholars based in United Kingdom, United States and Switzerland. Tamara von Glehn's co-authors include Felix Hill, Stephen Clark, Ohad Kammar and Jeremy Yallop and has published in prestigious journals such as Proceedings of the ACM on Programming Languages, Theory and applications of categories and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Tamara von Glehn i

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Fields of papers citing papers by Tamara von Glehn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamara von Glehn. 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 Tamara von Glehn. The network helps show where Tamara von Glehn may publish in the future.

Countries citing papers authored by Tamara von Glehn

Since Specialization

Citations

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