German Tischler

1.2k total citations
21 papers, 486 citations indexed

About

German Tischler is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, German Tischler has authored 21 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Artificial Intelligence and 8 papers in Computational Theory and Mathematics. Recurrent topics in German Tischler's work include Algorithms and Data Compression (11 papers), semigroups and automata theory (6 papers) and Genomics and Phylogenetic Studies (6 papers). German Tischler is often cited by papers focused on Algorithms and Data Compression (11 papers), semigroups and automata theory (6 papers) and Genomics and Phylogenetic Studies (6 papers). German Tischler collaborates with scholars based in United Kingdom, Germany and France. German Tischler's co-authors include Steven Leonard, Zemin Ning, Joseph Henson, Maxime Crochemore, Costas S. Iliopoulos, Solon P. Pissis, Robert M. Davies, Paul Coupland, James Bonfield and Thomas Keane and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and ACM Computing Surveys.

In The Last Decade

German Tischler

19 papers receiving 472 citations

Peers

German Tischler
Comparison fields: 5 of 104
  • Molecular Biology 271
  • Genetics 96
  • Plant Science 84
  • Artificial Intelligence 79
  • Cancer Research 48
Replace Niko Välimäki with:
Niko Välimäki Finland
Gianluca Della Vedova Italy
Karin Remington United States
Nadia Pisanti Italy
Sayed Mohammad Ebrahim Sahraeian United States
Gilles Didier France
Chun-Hsi Huang United States
Marcel Turcotte Canada
Rune B. Lyngsø United Kingdom
Michal Ziv-Ukelson Israel
Niko Välimäki Finland View profile →
Citations per field, relative to German Tischler
German Tischler · 1×
Citations per year, relative to German Tischler
German Tischler · 1×

Countries citing papers authored by German Tischler

Since Specialization
Citations

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

Fields of papers citing papers by German Tischler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of German Tischler

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 103
2 1
3 16
4 0
5 131
6 6
7 2
8 2
9 18
10 14
11 5
12 5
13
Computing Longest Previous non-overlapping Factors
1
14
Information Technology and Applications in Biomedicine (ITAB), 2010 10th IEEE International Conference
10
15 20
16 18
17 12
18 0
19 36
20 1

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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