Yasemin Altün

26 papers and 2.7k indexed citations i.

About

Yasemin Altün is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Yasemin Altün has authored 26 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 2 papers in Cognitive Neuroscience. Recurrent topics in Yasemin Altün’s work include Natural Language Processing Techniques (12 papers), Topic Modeling (9 papers) and Multimodal Machine Learning Applications (4 papers). Yasemin Altün is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (9 papers) and Multimodal Machine Learning Applications (4 papers). Yasemin Altün collaborates with scholars based in United States, Germany and United Kingdom. Yasemin Altün's co-authors include Thomas Hofmann, Ioannis Tsochantaridis, Thorsten Joachims, Jan Peters, Katharina Mülling, Morteza Alamgir, Moritz Grosse‐Wentrup, Bernhard Schölkopf, Vinay Jayaram and Katja Filippova and has published in prestigious journals such as BMC Bioinformatics, Journal of Machine Learning Research and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Yasemin Altün i

Fields of papers citing papers by Yasemin Altün

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yasemin Altün

Since Specialization
Citations

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