Amy H. Klym
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Oncology
- Computer Vision and Pattern Recognition
- Co-authors
- David GurJules H. SumkinBin ZhengJill L. KingJoseph K. LeaderJiantao PuAndriy I. BandosMarie A. Ganott
- Topics
- AI in cancer detection (13 papers)Global Cancer Incidence and Screening (8 papers)Digital Radiography and Breast Imaging (7 papers)
- Partner nations
- United States
In The Last Decade
Amy H. Klym
21 papers receiving 383 citations
Peers
Comparison fields: 5 of 65
- Pulmonary and Respiratory Medicine 194
- Radiology, Nuclear Medicine and Imaging 171
- Artificial Intelligence 148
- Oncology 136
- Computer Vision and Pattern Recognition 45
Countries citing papers authored by Amy H. Klym
This map shows the geographic impact of Amy H. Klym'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 Amy H. Klym with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy H. Klym more than expected).
Fields of papers citing papers by Amy H. Klym
This network shows the impact of papers produced by Amy H. Klym. 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 Amy H. Klym. The network helps show where Amy H. Klym may publish in the future.
Co-authorship network of co-authors of Amy H. Klym
This figure shows the co-authorship network connecting the top 25 collaborators of Amy H. Klym. A scholar is included among the top collaborators of Amy H. Klym 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 Amy H. Klym. Amy H. Klym is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 58 | |
| 3 | 17 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 17 | |
| 7 | 73 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | DETECTING OUTLIERS AND INFLUENTIAL DATA POINTS IN RECEIVER OPERATING CHARACTERISTIC (ROC) ANALYSIS | 0 |
| 11 | 10 | |
| 12 | 42 | |
| 13 | 48 | |
| 14 | 32 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | 27 | |
| 20 | 18 |
About Amy H. Klym
Amy H. Klym is a scholar working on Artificial Intelligence, Biophysics and Oncology, having authored 23 papers that have together received 392 indexed citations. Recurring topics across this work include AI in cancer detection (13 papers), Global Cancer Incidence and Screening (8 papers) and Digital Radiography and Breast Imaging (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (171 citations), Pulmonary and Respiratory Medicine (194 citations) and Oncology (136 citations). Amy H. Klym has collaborated with scholars based in United States. Frequent co-authors include David Gur, Jules H. Sumkin, Bin Zheng, Jill L. King, Joseph K. Leader, Jiantao Pu, Andriy I. Bandos, Marie A. Ganott, Howard E. Rockette and Friedrich Knollmann. Their work appears in journals such as Radiology, IEEE Transactions on Medical Imaging and American Journal of Roentgenology.
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.