Johanna Hardin
- Statistics and Probability top 1%
- Statistics Education and Methodologies 7
- Advanced Statistical Methods and Models 3
- Statistical Methods and Inference 3
- Hematology top 5%
- Aging top 10%
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- Gene expression and cancer classification 7
- Bioinformatics and Genomic Networks 6
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- Data Analysis with R 6
- Bayesian Methods and Mixture Models 3
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- Genetic Mapping and Diversity in Plants and Animals 3
- Co-authors
- David M. RockeNicholas J. HortonStephen C. AdolphFenghuang ZhanJohn D. ShaughnessyBart BarlogieElias AnaissieAthanasios Fassas
- Journals
- SHILAP Revista de lepidopterología (2 papers)Blood (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Johanna Hardin
44 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Statistics and Probability 287
- Hematology 343
- Statistics, Probability and Uncertainty 97
- Aging 19
- Molecular Biology 597
Countries citing papers authored by Johanna Hardin
This map shows the geographic impact of Johanna Hardin'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 Johanna Hardin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johanna Hardin more than expected).
Fields of papers citing papers by Johanna Hardin
This network shows the impact of papers produced by Johanna Hardin. 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 Johanna Hardin. The network helps show where Johanna Hardin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Johanna Hardin, 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 | 2023 | 5 | |
| 2 | 2022 | 3 | |
| 3 | 2022 | 7 | |
| 4 | A Unified Framework for Random Forest Prediction Error Estimation | 2021 | 14 |
| 5 | 2020 | 9 | |
| 6 | 2020 | 2 | |
| 7 | 2020 | 8 | |
| 8 | 2018 | 19 | |
| 9 | 2018 | 10 | |
| 10 | 2018 | 1 | |
| 11 | 2017 | 66 | |
| 12 | 2017 | 4 | |
| 13 | Resistant Sparse Multiple Canonical Correlation | 2014 | 1 |
| 14 | Robust Sparse Canonical Correlation Analysis and PITCHf/x | 2013 | 1 |
| 15 | 2011 | 34 | |
| 16 | 2009 | 25 | |
| 17 | 2008 | 38 | |
| 18 | 2007 | 61 | |
| 19 | 2006 | 2 | |
| 20 | 2003 | 153 |
About Johanna Hardin
Johanna Hardin is a scholar working on Statistics and Probability, Aging and Statistics, Probability and Uncertainty, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistics Education and Methodologies (7 papers), Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (6 papers), Data Analysis with R (6 papers), Bayesian Methods and Mixture Models (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Advanced Statistical Methods and Models (3 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Statistics and Probability (287 citations), Hematology (343 citations) and Statistics, Probability and Uncertainty (97 citations). Johanna Hardin has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include David M. Rocke, Nicholas J. Horton, Stephen C. Adolph, Fenghuang Zhan, John D. Shaughnessy, Bart Barlogie, Elias Anaissie, Athanasios Fassas, Erming Tian and Christopher Morris. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.
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.