Konrad Jacobs

3.7k citations
31 papers · 390 · h-index 8

Impact in

    • Mathematical Dynamics and Fractals
    • advanced mathematical theories
    • Advanced Banach Space Theory
    • Spectral Theory in Mathematical Physics
    • semigroups and automata theory
    • Cellular Automata and Applications
    • Computability, Logic, AI Algorithms

Papers in

Konrad Jacobs

26 papers receiving 275 citations

Peers

Konrad Jacobs
Comparison fields: 5 of 52
  • Mathematical Physics 182
  • Computational Theory and Mathematics 136
  • Geometry and Topology 64
  • Algebra and Number Theory 30
  • Applied Mathematics 62
Replace D. Newton with:
D. Newton United Kingdom
Nathaniel A. Friedman United States
Roy O. Davies United Kingdom
Fritz Schweiger Austria
J. R. Baxter United States
Christian Grillenberger Germany
Donald L. Cohn United States
Arunava Mukherjea United States
Harvey B. Keynes United States
Karma Dajani Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Konrad Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Konrad Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Konrad Jacobs, 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 Konrad Jacobs Line = papers co-authored together Konrad Jacobs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196984
2 196075
3
Lecture notes on ergodic theory
196365
4
Measure and integral
197840
5 195622
6 195918
7 195713
8 196212
9 19866
10 19576
11 19545
12 19625
13 19834
14 19674
15 19584
16 19924
17 19574
18 19703
19 19803
20 19833

About Konrad Jacobs

Konrad Jacobs is a scholar working on Geometry and Topology, Mathematical Physics, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Computational Mechanics, having authored 31 papers that have together received 390 indexed citations. Recurring topics across this work include semigroups and automata theory (3 papers), Medical and Biological Sciences (2 papers), Graph theory and applications (2 papers), Quantum chaos and dynamical systems (2 papers), advanced mathematical theories (2 papers), Mathematical Dynamics and Fractals (2 papers), Petri Nets in System Modeling (1 paper) and Probability and Statistical Research (1 paper). The work is most often cited by research in Mathematical Physics (182 citations), Computational Theory and Mathematics (136 citations), Geometry and Topology (64 citations), Algebra and Number Theory (30 citations) and Applied Mathematics (62 citations). Konrad Jacobs has collaborated with scholars based in Germany and United States. Frequent co-authors include Michaël Keane, Hans Freudenthal, Anatole Beck, Dieter Jungnickel and Manfred Denker. Their work appears in journals such as Mathematische Zeitschrift, Mathematische Annalen, Probability Theory and Related Fields, Die Naturwissenschaften and Educational Studies in Mathematics.

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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