Jan Reimann

417 total citations
14 papers, 119 citations indexed

About

Jan Reimann is a scholar working on Computational Theory and Mathematics, Geometry and Topology and Mathematical Physics. According to data from OpenAlex, Jan Reimann has authored 14 papers receiving a total of 119 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 6 papers in Geometry and Topology and 3 papers in Mathematical Physics. Recurrent topics in Jan Reimann's work include Computability, Logic, AI Algorithms (11 papers), Advanced Topology and Set Theory (6 papers) and semigroups and automata theory (2 papers). Jan Reimann is often cited by papers focused on Computability, Logic, AI Algorithms (11 papers), Advanced Topology and Set Theory (6 papers) and semigroups and automata theory (2 papers). Jan Reimann collaborates with scholars based in Germany, United States and New Zealand. Jan Reimann's co-authors include Frank Stephan, Wolfgang Merkle, Theodore A. Slaman, André Nies, Joseph S. Miller, Klaus Ambos‐Spies, Rodney G. Downey and Sebastiaan A. Terwijn and has published in prestigious journals such as Transactions of the American Mathematical Society, Theoretical Computer Science and Theory of Computing Systems.

In The Last Decade

Jan Reimann

13 papers receiving 108 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jan Reimann Germany	7	107	42	41	18	17	14	119
Guido Gherardi Italy	7	132 1.2×	22 0.5×	47 1.1×	14 0.8×	42 2.5×	16	142
Laurent Bienvenu France	8	153 1.4×	56 1.3×	58 1.4×	32 1.8×	39 2.3×	36	161
Xizhong Zheng Germany	6	128 1.2×	51 1.2×	37 0.9×	16 0.9×	29 1.7×	26	138
Marc Thurley United States	5	65 0.6×	79 1.9×	30 0.7×	27 1.5×	11 0.6×	6	109
Ekaterina Fokina Austria	9	197 1.8×	32 0.8×	48 1.2×	9 0.5×	67 3.9×	25	204
Antonín Kučera Czechia	8	191 1.8×	77 1.8×	66 1.6×	11 0.6×	42 2.5×	16	197
Nikolay Bazhenov Russia	8	209 2.0×	34 0.8×	58 1.4×	18 1.0×	48 2.8×	65	221
Reed Solomon United States	10	262 2.4×	50 1.2×	44 1.1×	33 1.8×	134 7.9×	29	281
Wesley Calvert United States	9	184 1.7×	32 0.8×	45 1.1×	11 0.6×	88 5.2×	26	189
Emil L. Post	2	154 1.4×	16 0.4×	66 1.6×	10 0.6×	46 2.7×	2	166

Countries citing papers authored by Jan Reimann

Since Specialization

Citations

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

Fields of papers citing papers by Jan Reimann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Reimann

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Reimann. A scholar is included among the top collaborators of Jan Reimann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Reimann. Jan Reimann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

1.

Reimann, Jan, et al.. (2018). An Introduction to Ramsey Theory. 9 indexed citations

2.

Reimann, Jan, et al.. (2018). An Introduction to Ramsey Theory: Fast Functions, Infinity, and Metamathematics. CERN Document Server (European Organization for Nuclear Research). 4 indexed citations

3.

Reimann, Jan & Theodore A. Slaman. (2015). Measures and their random reals. Transactions of the American Mathematical Society. 367(7). 5081–5097. 11 indexed citations

4.

Reimann, Jan, et al.. (2014). Independence, Relative Randomness, and PA Degrees. Notre Dame Journal of Formal Logic. 55(1). 1 indexed citations

5.

Reimann, Jan. (2010). Generisches Modellrefactoring für EMFText. Qucosa (Saxon State and University Library Dresden). 1 indexed citations

6.

Reimann, Jan. (2008). Effectively closed sets of measures and randomness. Annals of Pure and Applied Logic. 156(1). 170–182. 18 indexed citations

7.

Downey, Rodney G. & Jan Reimann. (2007). Algorithmic randomness. Scholarpedia. 2(10). 2574–2574. 6 indexed citations

8.

Reimann, Jan & Frank Stephan. (2006). HIERARCHIES OF RANDOMNESS TESTS. 215–232. 16 indexed citations

9.

Downey, Rodney G., Wolfgang Merkle, & Jan Reimann. (2006). Schnorr dimension. Mathematical Structures in Computer Science. 16(5). 789–811. 2 indexed citations

10.

Merkle, Wolfgang, Joseph S. Miller, André Nies, Jan Reimann, & Frank Stephan. (2005). Kolmogorov–Loveland randomness and stochasticity. Annals of Pure and Applied Logic. 138(1-3). 183–210. 28 indexed citations

11.

Merkle, Wolfgang & Jan Reimann. (2005). Selection Functions that Do Not Preserve Normality. Theory of Computing Systems. 39(5). 685–697. 9 indexed citations

12.

Ambos‐Spies, Klaus, Wolfgang Merkle, Jan Reimann, & Sebastiaan A. Terwijn. (2003). Almost complete sets. Theoretical Computer Science. 306(1-3). 177–194. 1 indexed citations

13.

Ambos‐Spies, Klaus, Wolfgang Merkle, Jan Reimann, & Frank Stephan. (2002). Hausdorff dimension in exponential time. 22. 210–217. 11 indexed citations

14.

Ambos‐Spies, Klaus & Jan Reimann. (1998). Effective Baire Category Concepts. 13–29. 2 indexed citations

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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