Per Austrin

2.3k citations
48 papers · 1.6k · 1 hit paper · h-index 16

Impact in

Papers in

Per Austrin

44 papers receiving 1.5k citations

Per Austrin's Hit Papers

Towards Sharp Inapproximability For Any 2-CSP 2007 · 977 citations
9770+6+12Years since publication250500750

Peers

Per Austrin
Comparison fields: 5 of 39
  • Computational Theory and Mathematics 486
  • Artificial Intelligence 951
  • Discrete Mathematics and Combinatorics 34
  • Computer Networks and Communications 127
  • Management Science and Operations Research 81
Replace Stefan Szeider with:
Stefan Szeider Austria
Heribert Vollmer Germany
Peter Bro Miltersen Denmark
Pierre Castéran France
Thomas P. Hayes United States
Raymond Greenlaw United States
Justin Ward United Kingdom
Christopher Umans United States
Sergiu Rudeanu Romania
Danupon Nanongkai United States
Per Austrin relative to Stefan Szeider Austria Stefan Szeider's profile →
Citations per field
00.5×2×4×6×8.1×
Stefan Szeider · 1×
Citations per year

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).

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.

Co-authors

The 24 scholars most cited alongside Per Austrin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Per Austrin Line = papers co-authored together Per Austrin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Towards Sharp Inapproximability For Any 2-CSP
Hit paper breakdown →
2007977
2 200965
3 200741
4 200941
5 201736
6
201132
7 200829
8 201126
9 201425
10 201021
11 201320
12 201419
13 200717
14 201217
15
201316
16 201616
17 201915
18 201313
19 202213
20 200911

About Per Austrin

Per Austrin is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Discrete Mathematics and Combinatorics, Computer Networks and Communications and Management Science and Operations Research, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (39 papers), Advanced Graph Theory Research (12 papers), Cryptography and Data Security (6 papers), Constraint Satisfaction and Optimization (6 papers), Coding theory and cryptography (4 papers), Limits and Structures in Graph Theory (3 papers), Game Theory and Applications (2 papers) and Quantum Information and Cryptography (1 paper). The work is most often cited by research in Computational Theory and Mathematics (486 citations), Artificial Intelligence (951 citations), Discrete Mathematics and Combinatorics (34 citations), Computer Networks and Communications (127 citations) and Management Science and Operations Research (81 citations). Per Austrin has collaborated with scholars based in Sweden, United States and Canada. Frequent co-authors include Elchanan Mossel, Johan Håstad, Subhash Khot, Muli Safra, Venkatesan Guruswami, Toniann Pitassi, Siavosh Benabbas, Konstantinos Georgiou, Mikko Koivisto and Petteri Kaski. Their work appears in journals such as Theory of Computing, SIAM Journal on Computing, ACM Transactions on Computation Theory, IEEE Transactions on Information Theory and ACM Transactions on Algorithms.

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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