Anne Denton
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Endocrinology top 10%
Papers in
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- Genomics and Phylogenetic Studies 7
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- Anomaly Detection Techniques and Applications 6
- Co-authors
- David W. Franzen (10 shared papers)Rahul Gomes (7 shared papers)Lakesh K. Sharma (5 shared papers)Mostofa Ahsan (4 shared papers)Birgit M. Prüß (3 shared papers)Alan J. Wolfe (2 shared papers)Ryan G. Carlson (1 shared paper)Hyunsook Do (1 shared paper)
- Journals
- Knowledge and Information Systems (5 papers)Agronomy Journal (3 papers)The Plant Genome (2 papers)Functional & Integrative Genomics (2 papers)BMC Genomics (2 papers)
- Partner nations
- United StatesNew ZealandCzechia
In The Last Decade
Anne Denton
63 papers receiving 919 citations
Peers
Comparison fields: 5 of 126
- Software 80
- Endocrinology 69
- Signal Processing 119
- Ecology 192
- Plant Science 234
Countries citing papers authored by Anne Denton
This map shows the geographic impact of Anne Denton'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 Anne Denton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Denton more than expected).
Fields of papers citing papers by Anne Denton
This network shows the impact of papers produced by Anne Denton. 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 Anne Denton. The network helps show where Anne Denton may publish in the future.
Co-authors
The 25 scholars most cited alongside Anne Denton, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 142 | |
| 2 | 2015 | 91 | |
| 3 | 2011 | 83 | |
| 4 | 2019 | 65 | |
| 5 | 2016 | 50 | |
| 6 | 2018 | 44 | |
| 7 | 2010 | 40 | |
| 8 | 2016 | 36 | |
| 9 | 2018 | 35 | |
| 10 | 2012 | 31 | |
| 11 | 2008 | 26 | |
| 12 | 2015 | 24 | |
| 13 | 2008 | 24 | |
| 14 | 2006 | 22 | |
| 15 | 2015 | 20 | |
| 16 | 2013 | 18 | |
| 17 | Density-based clustering of time series subsequences | 2004 | 16 |
| 18 | 2014 | 13 | |
| 19 | 2016 | 11 | |
| 20 | Differential association rule mining for the study of protein-protein interaction networks | 2004 | 11 |
About Anne Denton
Anne Denton is a scholar working on Molecular Biology, Artificial Intelligence, Signal Processing, Plant Science and Information Systems, having authored 65 papers that have together received 966 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (12 papers), Data Management and Algorithms (9 papers), Chromosomal and Genetic Variations (9 papers), Remote Sensing in Agriculture (8 papers), Genomics and Phylogenetic Studies (7 papers), Time Series Analysis and Forecasting (7 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Anomaly Detection Techniques and Applications (6 papers). The work is most often cited by research in Software (80 citations), Endocrinology (69 citations), Signal Processing (119 citations), Ecology (192 citations) and Plant Science (234 citations). Anne Denton has collaborated with scholars based in United States, New Zealand and Czechia. Frequent co-authors include David W. Franzen, Rahul Gomes, Lakesh K. Sharma, Mostofa Ahsan, Birgit M. Prüß, Alan J. Wolfe, Ryan G. Carlson, Hyunsook Do, Jianfei Wu and Shahryar F. Kianian. Their work appears in journals such as Knowledge and Information Systems, Agronomy Journal, The Plant Genome, Functional & Integrative Genomics and BMC Genomics.
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.