Matthias Bernt
- Insect Science top 0.5%
- Ecology top 1%
- Genetics top 1%
- Genome Rearrangement Algorithms 17
- Genetic diversity and population structure 4
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies 32
- Machine Learning in Bioinformatics 6
- RNA and protein synthesis mechanisms 5
- Identification and Quantification in Food 4
-
- Algorithms and Data Compression 11
-
- Chromosomal and Genetic Variations 8
- Co-authors
- Peter F. StadlerMartin MiddendorfAlexander DonathFrank JühlingGuido FritzschJoern PützCatherine FlorentzBernd Schierwater
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Matthias Bernt
42 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Insect Science 958
- Ecology 1.7k
- Ecology, Evolution, Behavior and Systematics 1.1k
- Genetics 1.6k
- Molecular Biology 3.3k
Countries citing papers authored by Matthias Bernt
This map shows the geographic impact of Matthias Bernt'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 Matthias Bernt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Bernt more than expected).
Fields of papers citing papers by Matthias Bernt
This network shows the impact of papers produced by Matthias Bernt. 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 Matthias Bernt. The network helps show where Matthias Bernt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthias Bernt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 5 | |
| 7 | Improved annotation of protein-coding genes boundaries in metazoan mitochondrial genomesbreakdown → | 2019 | 423 |
| 8 | 2018 | 5 | |
| 9 | 2017 | 6 | |
| 10 | 2016 | 30 | |
| 11 | 2016 | 9 | |
| 12 | 2015 | 24 | |
| 13 | 2012 | 32 | |
| 14 | 2012 | 25 | |
| 15 | 2012 | 188 | |
| 16 | 2011 | 20 | |
| 17 | 2011 | 28 | |
| 18 | 2008 | 65 | |
| 19 | 2008 | 5 | |
| 20 | 2006 | 6 |
About Matthias Bernt
Matthias Bernt is a scholar working on Genetics, Molecular Biology and Information Systems and Management, having authored 45 papers that have together received 5.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (32 papers), Genome Rearrangement Algorithms (17 papers), Algorithms and Data Compression (11 papers), Chromosomal and Genetic Variations (8 papers), Machine Learning in Bioinformatics (6 papers), RNA and protein synthesis mechanisms (5 papers), Identification and Quantification in Food (4 papers) and Genetic diversity and population structure (4 papers). The work is most often cited by research in Insect Science (958 citations), Ecology (1.7k citations) and Ecology, Evolution, Behavior and Systematics (1.1k citations). Matthias Bernt has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Peter F. Stadler, Martin Middendorf, Alexander Donath, Frank Jühling, Guido Fritzsch, Joern Pütz, Catherine Florentz, Bernd Schierwater, Franziska Reinhardt and Stephan Wolf. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.
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.