Daniel Barker
Impact in
-
- Plant and animal studies
- Animal Behavior and Reproduction
- Paleontology top 5%
- Evolution and Paleontology Studies
Papers in
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- Genomics and Phylogenetic Studies 13
- Genetics, Bioinformatics, and Biomedical Research 7
- Genetics 10
- Genetic diversity and population structure 5
- Evolution and Genetic Dynamics 3
- Co-authors
- Mark Pagel (9 shared papers)Andrew Meade (2 shared papers)Richard M. Sibly (5 shared papers)Jim Hone (4 shared papers)Michael C. Denham (3 shared papers)Michael G. Ritchie (5 shared papers)William Chester Jordan (2 shared papers)Anastasia Gardiner (2 shared papers)
- Journals
- Bioinformatics (4 papers)Science (3 papers)Systematic Biology (2 papers)BMC Bioinformatics (2 papers)Phytochemistry (2 papers)
- Partner nations
- United KingdomSpainAustralia
In The Last Decade
Daniel Barker
44 papers receiving 2.3k citations
Daniel Barker's Hit Papers
Peers
Comparison fields: 5 of 141
- Ecology, Evolution, Behavior and Systematics 750
- Paleontology 252
- Nature and Landscape Conservation 337
- Genetics 541
- Ecology 515
Countries citing papers authored by Daniel Barker
This map shows the geographic impact of Daniel Barker'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 Daniel Barker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Barker more than expected).
Fields of papers citing papers by Daniel Barker
This network shows the impact of papers produced by Daniel Barker. 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 Daniel Barker. The network helps show where Daniel Barker may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Barker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bayesian Estimation of Ancestral Character States on Phylogenies Hit paper breakdown → | 2004 | 1022 |
| 2 | 2005 | 345 | |
| 3 | 2005 | 132 | |
| 4 | 2006 | 127 | |
| 5 | 2008 | 93 | |
| 6 | 2007 | 77 | |
| 7 | 2012 | 70 | |
| 8 | 2006 | 67 | |
| 9 | 2006 | 44 | |
| 10 | 2011 | 40 | |
| 11 | 2016 | 36 | |
| 12 | 2012 | 31 | |
| 13 | 2006 | 27 | |
| 14 | 2004 | 23 | |
| 15 | 2014 | 19 | |
| 16 | 2013 | 18 | |
| 17 | 2008 | 15 | |
| 18 | 2011 | 15 | |
| 19 | 2008 | 12 | |
| 20 | 2021 | 10 |
About Daniel Barker
Daniel Barker is a scholar working on Molecular Biology, Genetics, Ecology, Ecology, Evolution, Behavior and Systematics and Plant Science, having authored 45 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 papers), Genetics, Bioinformatics, and Biomedical Research (7 papers), Animal Ecology and Behavior Studies (5 papers), Genetic diversity and population structure (5 papers), Evolution and Genetic Dynamics (3 papers), Ecosystem dynamics and resilience (3 papers), Lichen and fungal ecology (2 papers) and Music and Audio Processing (2 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (750 citations), Paleontology (252 citations), Nature and Landscape Conservation (337 citations), Genetics (541 citations) and Ecology (515 citations). Daniel Barker has collaborated with scholars based in United Kingdom, Spain and Australia. Frequent co-authors include Mark Pagel, Andrew Meade, Richard M. Sibly, Jim Hone, Michael C. Denham, Michael G. Ritchie, William Chester Jordan, Anastasia Gardiner, Roger K. Butlin and Jutta Buschbom. Their work appears in journals such as Bioinformatics, Science, Systematic Biology, BMC Bioinformatics and Phytochemistry.
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.