Ulrich Hertrampf

13 papers receiving 182 citations

Peers

Ulrich Hertrampf
Comparison fields: 5 of 23
  • Computational Theory and Mathematics 189
  • Artificial Intelligence 118
  • Computer Networks and Communications 20
  • Electrical and Electronic Engineering 12
  • Discrete Mathematics and Combinatorics 7
Replace Clemens Lautemann with:
Clemens Lautemann Germany
Natacha Portier France
Michael Alekhnovich United States
Pavel Hrubeš United States
Srikanth Srinivasan India
Nathan Segerlind United States
Arkadev Chattopadhyay Canada
Stephen Fenner United States
Juan Luis Esteban Spain
Neil Thapen Czechia
Ulrich Hertrampf relative to Clemens Lautemann Germany Clemens Lautemann's profile →
Citations per field
00.5×2.9×
Clemens Lautemann · 1×
Citations per year

Countries citing papers authored by Ulrich Hertrampf

Since Specialization
Citations

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

Fields of papers citing papers by Ulrich Hertrampf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrich Hertrampf

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Hertrampf. A scholar is included among the top collaborators of Ulrich Hertrampf 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 Ulrich Hertrampf. Ulrich Hertrampf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 4
3 2
4 5
5 7
6 3
7 28
8 0
9
Regular Frequency Computations (Algebraic Systems, Formal Languages and Computations)
0
10 11
11 1
12 0
13 5
14 27
15 14
16 68
17 28

About Ulrich Hertrampf

Ulrich Hertrampf is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Discrete Mathematics and Combinatorics, having authored 17 papers that have together received 203 indexed citations. Recurring topics across this work include semigroups and automata theory (8 papers), Complexity and Algorithms in Graphs (7 papers) and Advanced Graph Theory Research (3 papers). The work is most often cited by research in Computational Theory and Mathematics (189 citations), Artificial Intelligence (118 citations) and Computational Mathematics (2 citations). Ulrich Hertrampf has collaborated with scholars based in Germany and United States. Frequent co-authors include Carsten Damm, Eric Allender, Christoph Meinel, Heribert Vollmer, Klaus W. Wagner, Thomas Schwentick, Clemens Lautemann, Steffen Reith, Richard Beigel and Steven Homer. Their work appears in journals such as Theoretical Computer Science, Information and Computation and Information Processing Letters.

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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