Chris Whidden
Impact in
- Paleontology top 10%
- Evolution and Paleontology Studies
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- Genetic diversity and population structure
- Genome Rearrangement Algorithms
Papers in
-
- Genomics and Phylogenetic Studies 8
- Identification and Quantification in Food 3
- DNA and Biological Computing 3
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- Algorithms and Data Compression 3
- Co-authors
- Robert G. Beiko (5 shared papers)Norbert Zeh (6 shared papers)F. A. Matsen (2 shared papers)Eva Boon (1 shared paper)Morgan G. I. Langille (1 shared paper)Conor J. Meehan (1 shared paper)Frank H. Smith (1 shared paper)Luı́s Torgo (2 shared papers)
- Journals
- Systematic Biology (2 papers)Frontiers in Marine Science (2 papers)Ecology and Evolution (1 paper)Algorithmica (1 paper)Bulletin of Mathematical Biology (1 paper)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Chris Whidden
17 papers receiving 487 citations
Peers
Comparison fields: 5 of 96
- Paleontology 47
- Genetics 144
- Molecular Biology 298
- Water Science and Technology 59
- Ecology 87
Countries citing papers authored by Chris Whidden
This map shows the geographic impact of Chris Whidden'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 Chris Whidden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Whidden more than expected).
Fields of papers citing papers by Chris Whidden
This network shows the impact of papers produced by Chris Whidden. 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 Chris Whidden. The network helps show where Chris Whidden may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Whidden, 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 | 2013 | 165 | |
| 2 | 2022 | 80 | |
| 3 | 2015 | 60 | |
| 4 | 2013 | 50 | |
| 5 | 2014 | 47 | |
| 6 | 2009 | 35 | |
| 7 | 2010 | 33 | |
| 8 | 2017 | 7 | |
| 9 | 2015 | 7 | |
| 10 | 2023 | 5 | |
| 11 | DalTREC 2005 QA System Jellyfish: Mark-and-Match Approach to Question Answering | 2005 | 3 |
| 12 | 2024 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2016 | 1 | |
| 16 | 2009 | 1 | |
| 17 | Efficient Computation and Application of Maximum Agreement Forests | 2013 | 1 |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2024 | 0 |
About Chris Whidden
Chris Whidden is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Water Science and Technology and Plant Science, having authored 20 papers that have together received 501 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Water Quality Monitoring Technologies (4 papers), Algorithms and Data Compression (3 papers), Chromosomal and Genetic Variations (3 papers), Identification and Quantification in Food (3 papers), DNA and Biological Computing (3 papers), Genetic diversity and population structure (3 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Paleontology (47 citations), Genetics (144 citations), Molecular Biology (298 citations), Water Science and Technology (59 citations) and Ecology (87 citations). Chris Whidden has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Robert G. Beiko, Norbert Zeh, F. A. Matsen, Eva Boon, Morgan G. I. Langille, Conor J. Meehan, Frank H. Smith, Luı́s Torgo, Alex Gavryushkin and Vlado Kešelj. Their work appears in journals such as Systematic Biology, Frontiers in Marine Science, Ecology and Evolution, Algorithmica and Bulletin of Mathematical Biology.
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.