Heiko A. Schmidt
Impact in
- Paleontology top 0.2%
-
- Plant and animal studies
Papers in
- Paleontology 14
- Evolution and Paleontology Studies 8
- Marine Invertebrate Physiology and Ecology 6
- Genetics 11
- Genetic diversity and population structure 11
- Co-authors
- Arndt von HaeselerBùi Quang MinhRobert LanfearDominik SchrempfMichael D. WoodhamsOlga ChernomorMartin VingronKorbinian Strimmer
- Journals
- Molecular Biology and Evolution (5 papers)Bioinformatics (2 papers)Nature (2 papers)Developmental Biology (2 papers)Current Protocols in Bioinformatics (2 papers)
- Partner nations
- AustriaGermanyUnited Kingdom
In The Last Decade
Heiko A. Schmidt
31 papers receiving 28.0k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Paleontology 2.0k
- Ecology, Evolution, Behavior and Systematics 5.2k
- Ecology 6.5k
- Endocrinology 1.1k
- Genetics 5.5k
Countries citing papers authored by Heiko A. Schmidt
This map shows the geographic impact of Heiko A. Schmidt'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 Heiko A. Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heiko A. Schmidt more than expected).
Fields of papers citing papers by Heiko A. Schmidt
This network shows the impact of papers produced by Heiko A. Schmidt. 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 Heiko A. Schmidt. The network helps show where Heiko A. Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Heiko A. Schmidt, 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 | 2025 | 0 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 17 | |
| 5 | 2021 | 58 | |
| 6 | 2020 | 18 | |
| 7 | IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era Hit paper breakdown → | 2020 | 7881 |
| 8 | 2020 | 13 | |
| 9 | 2019 | 53 | |
| 10 | 2016 | 21 | |
| 11 | 2015 | 47 | |
| 12 | IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies Hit paper breakdown → | 2014 | 16443 |
| 13 | 2010 | 166 | |
| 14 | 2009 | 78 | |
| 15 | 2009 | 226 | |
| 16 | 2008 | 50 | |
| 17 | 2008 | 19 | |
| 18 | 2005 | 465 | |
| 19 | 2005 | 59 | |
| 20 | TREE-PUZZLE: maximum likelihood phylogenetic analysis using quartets and parallel computing Hit paper breakdown → | 2002 | 2200 |
About Heiko A. Schmidt
Heiko A. Schmidt is a scholar working on Paleontology, Genetics, Molecular Biology, Software and Cell Biology, having authored 33 papers that have together received 28.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 papers), Genetic diversity and population structure (11 papers), Evolution and Paleontology Studies (8 papers), Marine Invertebrate Physiology and Ecology (6 papers), Marine Ecology and Invasive Species (4 papers), Algorithms and Data Compression (3 papers), Formal Methods in Verification (3 papers) and Protist diversity and phylogeny (2 papers). The work is most often cited by research in Paleontology (2.0k citations), Ecology, Evolution, Behavior and Systematics (5.2k citations), Ecology (6.5k citations), Endocrinology (1.1k citations) and Genetics (5.5k citations). Heiko A. Schmidt has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Arndt von Haeseler, Bùi Quang Minh, Robert Lanfear, Dominik Schrempf, Michael D. Woodhams, Olga Chernomor, Martin Vingron, Korbinian Strimmer, Thomas W. Holstein and Bert Hobmayer. Their work appears in journals such as Molecular Biology and Evolution, Bioinformatics, Nature, Developmental Biology and Current Protocols in 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.