Dag Normann

982 citations
54 papers · 308 · h-index 10

Impact in

Papers in

Dag Normann

48 papers receiving 275 citations

Peers

Dag Normann
Comparison fields: 5 of 35
  • Computational Theory and Mathematics 248
  • Geometry and Topology 94
  • Mathematical Physics 82
  • Artificial Intelligence 203
  • Theoretical Computer Science 4
Replace Stanley S. Wainer with:
Stanley S. Wainer United Kingdom
Matthias Schröder Germany
Wilfried Buchholz Germany
Wolfram Pohlers Germany
Peter Cholak United States
Alberto Marcone Italy
Piergiorgio Odifreddi Italy
Douglas Cenzer United States
J. W. Addison United States
Victor Selivanov Russia
Dag Normann relative to Stanley S. Wainer United Kingdom Stanley S. Wainer's profile →
Citations per field
00.5×10×14×
Stanley S. Wainer · 1×
Citations per year

Countries citing papers authored by Dag Normann

Since Specialization
Citations

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

Fields of papers citing papers by Dag Normann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Dag Normann, 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 Dag Normann Line = papers co-authored together Dag Normann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198045
2 201529
3 200017
4 202015
5 197413
6 200612
7 202011
8 200010
9 19979
10 20079
11 20199
12 20209
13 19858
14
Categories of domains with totality
19978
15 19817
16 20117
17 20227
18 20095
19 20065
20
Wellfounded and non-wellfounded types of continuous functionals
19925

About Dag Normann

Dag Normann is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Geometry and Topology, Mathematical Physics and Statistics and Probability, having authored 54 papers that have together received 308 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (33 papers), Logic, Reasoning, and Knowledge (19 papers), Logic, programming, and type systems (16 papers), Advanced Topology and Set Theory (16 papers), Advanced Algebra and Logic (10 papers), Mathematical and Theoretical Analysis (8 papers), semigroups and automata theory (6 papers) and Benford’s Law and Fraud Detection (5 papers). The work is most often cited by research in Computational Theory and Mathematics (248 citations), Geometry and Topology (94 citations), Mathematical Physics (82 citations), Artificial Intelligence (203 citations) and Theoretical Computer Science (4 citations). Dag Normann has collaborated with scholars based in Norway, Germany and United Kingdom. Frequent co-authors include Sam Sanders, John Longley, Jens Erik Fenstad, Jean-Yves Girard, L. A. Kristiansen, Benedikt Löwe, Edward Griffor, Ludomir Newelski, John R. Steel and Erik Palmgren. Their work appears in journals such as Journal of Symbolic Logic, Archive for Mathematical Logic, Journal of Logic and Computation, Annals of Pure and Applied Logic and Logical Methods in Computer Science.

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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