Stål Aanderaa

534 citations
10 papers · 244 · h-index 6

Impact in

Papers in

    • Computability, Logic, AI Algorithms 5
    • semigroups and automata theory 4
    • Advanced Algebra and Logic 3
    • Cellular Automata and Applications 1
    • Logic, programming, and type systems 2
    • Logic, Reasoning, and Knowledge 1
    • Algorithms and Data Compression 1

Stål Aanderaa

9 papers receiving 209 citations

Peers

Stål Aanderaa
Comparison fields: 5 of 39
  • Computational Mathematics 8
  • Computational Theory and Mathematics 126
  • Artificial Intelligence 145
  • Information Systems 95
  • Theoretical Computer Science 4
Replace Robert T. Moenck with:
Robert T. Moenck Canada
Gudmund Skovbjerg Frandsen Denmark
Loïc Pottier United States
Truong United States
Emmanuel Thomé France
Murat Cenk Türkiye
Daniel S. Roche United States
Stephen J. Garland United States
Jonathan Sorenson United States
Axel Poigné Germany
Stål Aanderaa relative to Robert T. Moenck Canada Robert T. Moenck's profile →
Citations per field
00.5×
Robert T. Moenck · 1×
Citations per year

Countries citing papers authored by Stål Aanderaa

Since Specialization
Citations

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

Fields of papers citing papers by Stål Aanderaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Stål Aanderaa, 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 Stål Aanderaa Line = papers co-authored together Stål Aanderaa links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1969161
2 196936
3 196312
4 196711
5 19748
6 19717
7 19735
8 19642
9 19741
10 20171

About Stål Aanderaa

Stål Aanderaa is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition and Spectroscopy, having authored 10 papers that have together received 244 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (5 papers), semigroups and automata theory (4 papers), Advanced Algebra and Logic (3 papers), Logic, programming, and type systems (2 papers), Cellular Automata and Applications (1 paper), Chaos-based Image/Signal Encryption (1 paper), Logic, Reasoning, and Knowledge (1 paper) and Algorithms and Data Compression (1 paper). The work is most often cited by research in Computational Mathematics (8 citations), Computational Theory and Mathematics (126 citations), Artificial Intelligence (145 citations), Information Systems (95 citations) and Theoretical Computer Science (4 citations). Stål Aanderaa has collaborated with scholars based in Norway and United States. Frequent co-authors include Stephen Cook, Harry R. Lewis, Patrick C. Fischer, Burton Dreben, Peter B. Andrews, Warren Goldfarb and Lars Kristiansen. Their work appears in journals such as Journal of Symbolic Logic, Transactions of the American Mathematical Society, Bulletin of the American Mathematical Society, Journal of the ACM and Mathematics of Computation.

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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