Per Austrin

About

Per Austrin is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Per Austrin has authored 30 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Theory and Mathematics, 13 papers in Artificial Intelligence and 4 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Per Austrin’s work include Combinatorial Optimization and Complexity Theory (20 papers), Advanced Graph Theory Research (15 papers) and Machine Learning and Algorithms (4 papers). Per Austrin is often cited by papers focused on Combinatorial Optimization and Complexity Theory (20 papers), Advanced Graph Theory Research (15 papers) and Machine Learning and Algorithms (4 papers). Per Austrin collaborates with scholars based in Sweden, United States and Finland. Per Austrin's co-authors include Johan H̊astad, Elchanan Mossel, Subhash Khot, Konstantinos Georgiou, Muli Safra, Venkatesan Guruswami, Siavosh Benabbas, Jesper Nederlof, Mikko Koivisto and Mark Braverman and has published in prestigious journals such as IEEE Transactions on Information Theory, SIAM Journal on Computing and Journal of Artificial Intelligence Research.

In The Last Decade

Co-authorship network of co-authors of Per Austrin i

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Fields of papers citing papers by Per Austrin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Per Austrin

Since Specialization

Citations

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