Ulrich Bodenhofer

65 papers receiving 2.6k citations

Hit Papers

msa: an R package for multiple sequence alignment20152026201820222015100200300400

Peers

Ulrich Bodenhofer
Comparison fields: 5 of 182
  • Molecular Biology 993
  • Artificial Intelligence 555
  • Computational Theory and Mathematics 545
  • Management Science and Operations Research 434
  • Genetics 324
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Countries citing papers authored by Ulrich Bodenhofer

Since Specialization
Citations

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

Fields of papers citing papers by Ulrich Bodenhofer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrich Bodenhofer

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Bodenhofer. A scholar is included among the top collaborators of Ulrich Bodenhofer 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 Bodenhofer. Ulrich Bodenhofer 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
#WorkIndexed citations
1 2
2 0
3 1
4 6
5 5
6 29
7 5
8 14
9 78
10
Modeling Position Specificity in Sequence Kernels by Fuzzy Equivalence Relations
3
11
Towards a Robust Rank Correlation Measure for Numerical Observations on the Basis of Fuzzy Orderings.
1
12 3
13
Strict Fuzzy Orderings in a Similarity-Based Setting
7
14
Interpretability of linguistic variables : A formal account
17
15 25
16 19
17
Enriching vague queries by fuzzy orderings.
5
18
Representations and constructions of strongly linear fuzzy orderings.
2
19
The Construction of Ordering-Based Modifiers
8
20
A New Approach to Fuzzy Orderings
9

About Ulrich Bodenhofer

Ulrich Bodenhofer is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Statistics and Probability, having authored 66 papers that have together received 2.7k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (19 papers), Fuzzy Logic and Control Systems (19 papers) and Advanced Algebra and Logic (18 papers). The work is most often cited by research in Management Science and Operations Research (434 citations), Computational Theory and Mathematics (545 citations) and Statistics and Probability (157 citations). Ulrich Bodenhofer has collaborated with scholars based in Austria, Germany and Czechia. Frequent co-authors include Sepp Hochreiter, Johannes Kepler, Andreas Mitterecker, Andreas Mayr, Djork-Arné Clevert, Karin Schwarzbauer, Günter Klambauer, Susanne Saminger‐Platz, Radko Mesiar and Frank Klawonn. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and The Journal of Immunology.

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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