Markus Brameier

3.8k citations
34 papers · 2.0k indexed · h-index 21
Topics
Evolutionary Algorithms and Applications (9 papers)T-cell and B-cell Immunology (7 papers)Metaheuristic Optimization Algorithms Research (6 papers)

In The Last Decade

Markus Brameier

34 papers receiving 2.0k citations

Peers

Markus Brameier
Comparison fields: 5 of 143
  • Molecular Biology 896
  • Artificial Intelligence 547
  • Social Psychology 251
  • Cancer Research 247
  • Genetics 182
Replace Alexander J. Hartemink with:
Alexander J. Hartemink United States
Ulrich Bodenhofer Austria
Rosane Minghim Brazil
James P. Balhoff United States
Ilan Gronau Israel
Thomas Mailund Denmark
Can Alkan United States
Lynn Kuo United States
Ze Cheng China
Markus Brameier relative to Alexander J. Hartemink United States Alexander J. Hartemink's profile →
Citations per field
00.5×8.1×
Alexander J. Hartemink · 1×
Citations per year

Countries citing papers authored by Markus Brameier

Since Specialization
Citations

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

Fields of papers citing papers by Markus Brameier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Brameier

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Brameier. A scholar is included among the top collaborators of Markus Brameier 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 Markus Brameier. Markus Brameier 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 12
2 55
3 25
4 21
5 51
6 143
7 6
8 15
9 13
10 23
11 104
12 27
13 26
14 245
15 30
16 47
17
Linear Genetic Programming (Genetic and Evolutionary Computation)
28
18 41
19 44
20 2

About Markus Brameier

Markus Brameier is a scholar working on Developmental Biology, Immunology and Social Psychology, having authored 34 papers that have together received 2.0k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (9 papers), T-cell and B-cell Immunology (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). The work is most often cited by research in Artificial Intelligence (547 citations), Developmental Biology (36 citations) and Cancer Research (247 citations). Markus Brameier has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Wolfgang Banzhaf, Robert M. MacCallum, Lutz Walter, Carsten Wiuf, Christian Roos, Richard Reinhardt, Jens Gruber, Astrid Herwig, Dietmar Zinner and Matthias Meyer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

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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