Johanna Hardin
- Molecular Biology
- Hematology top 5%
- Statistics and Probability top 1%
- Artificial Intelligence top 5%
- Oncology
- Co-authors
- David M. RockeNicholas J. HortonStephen C. AdolphFenghuang ZhanJohn D. ShaughnessyBart BarlogieElias AnaissieAthanasios Fassas
- Topics
- Statistics Education and Methodologies (7 papers)Gene expression and cancer classification (7 papers)Bioinformatics and Genomic Networks (6 papers)
- 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
- Molecular Biology 597
- Hematology 343
- Statistics and Probability 287
- Artificial Intelligence 259
- Oncology 163
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 of co-authors of Johanna Hardin
This figure shows the co-authorship network connecting the top 25 collaborators of Johanna Hardin. A scholar is included among the top collaborators of Johanna Hardin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Johanna Hardin. Johanna Hardin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | A Unified Framework for Random Forest Prediction Error Estimation | 14 |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 19 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 66 | |
| 12 | 4 | |
| 13 | Resistant Sparse Multiple Canonical Correlation | 1 |
| 14 | Robust Sparse Canonical Correlation Analysis and PITCHf/x | 1 |
| 15 | 34 | |
| 16 | 25 | |
| 17 | 38 | |
| 18 | 61 | |
| 19 | 2 | |
| 20 | 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) and Bioinformatics and Genomic Networks (6 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.