Burkhard Morgenstern
- Molecular Biology top 0.5%
- Plant Science top 0.5%
- Genetics top 1%
- Ecology top 2%
- Cell Biology top 1%
- Co-authors
- Mario StankeStephan WaackIrfan GunduzO. KellerAshley HayesRalph SteinkampAndreas DressChris-André Leimeister
- Topics
- Genomics and Phylogenetic Studies (72 papers)RNA and protein synthesis mechanisms (38 papers)Algorithms and Data Compression (24 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Burkhard Morgenstern
88 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Molecular Biology 6.1k
- Plant Science 3.3k
- Genetics 1.5k
- Ecology 1.1k
- Cell Biology 842
Countries citing papers authored by Burkhard Morgenstern
This map shows the geographic impact of Burkhard Morgenstern'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 Burkhard Morgenstern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Burkhard Morgenstern more than expected).
Fields of papers citing papers by Burkhard Morgenstern
This network shows the impact of papers produced by Burkhard Morgenstern. 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 Burkhard Morgenstern. The network helps show where Burkhard Morgenstern may publish in the future.
Co-authorship network of co-authors of Burkhard Morgenstern
This figure shows the co-authorship network connecting the top 25 collaborators of Burkhard Morgenstern. A scholar is included among the top collaborators of Burkhard Morgenstern 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 Burkhard Morgenstern. Burkhard Morgenstern is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 13 | |
| 3 | 123 | |
| 4 | 15 | |
| 5 | 7 | |
| 6 | 22 | |
| 7 | 31 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 117 | |
| 11 | 38 | |
| 12 | 59 | |
| 13 | Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sourcesbreakdown → | 837 |
| 14 | Multiple sequence alignment with user-defined constraints | 4 |
| 15 | 5 | |
| 16 | 24 | |
| 17 | AUGUSTUS: a web server for gene finding in eukaryotesbreakdown → | 903 |
| 18 | 33 | |
| 19 | Gene prediction by comparative sequence analysis. | 1 |
| 20 | 2 |
About Burkhard Morgenstern
Burkhard Morgenstern is a scholar working on Virology, Molecular Biology and Artificial Intelligence, having authored 88 papers that have together received 9.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (72 papers), RNA and protein synthesis mechanisms (38 papers) and Algorithms and Data Compression (24 papers). The work is most often cited by research in Plant Science (3.3k citations), Molecular Biology (6.1k citations) and Virology (351 citations). Burkhard Morgenstern has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Mario Stanke, Stephan Waack, Irfan Gunduz, O. Keller, Ashley Hayes, Ralph Steinkamp, Andreas Dress, Chris-André Leimeister, Michael Kaufmann and A R Subramanian. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Biotechnology.
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.