Rita I. Freimanis
- Molecular Biology
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Oncology
- Co-authors
- Yui Man LuiEdward A. LevineJennifer J. HuTasha SmithNancy D. PerrierGlenn O. AllenWen Liu‐MaresSteven A. Akman
- Topics
- AI in cancer detection (12 papers)Breast Lesions and Carcinomas (10 papers)Global Cancer Incidence and Screening (9 papers)
- Partner nations
- United StatesItalySouth Korea
In The Last Decade
Rita I. Freimanis
32 papers receiving 927 citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 304
- Artificial Intelligence 289
- Radiology, Nuclear Medicine and Imaging 283
- Pulmonary and Respiratory Medicine 233
- Oncology 200
Countries citing papers authored by Rita I. Freimanis
This map shows the geographic impact of Rita I. Freimanis'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 Rita I. Freimanis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita I. Freimanis more than expected).
Fields of papers citing papers by Rita I. Freimanis
This network shows the impact of papers produced by Rita I. Freimanis. 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 Rita I. Freimanis. The network helps show where Rita I. Freimanis may publish in the future.
Co-authorship network of co-authors of Rita I. Freimanis
This figure shows the co-authorship network connecting the top 25 collaborators of Rita I. Freimanis. A scholar is included among the top collaborators of Rita I. Freimanis 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 Rita I. Freimanis. Rita I. Freimanis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 28 | |
| 6 | 8 | |
| 7 | 14 | |
| 8 | 8 | |
| 9 | 140 | |
| 10 | 20 | |
| 11 | 12 | |
| 12 | 49 | |
| 13 | 18 | |
| 14 | 56 | |
| 15 | 72 | |
| 16 | 20 | |
| 17 | 23 | |
| 18 | 30 | |
| 19 | 145 | |
| 20 | 14 |
About Rita I. Freimanis
Rita I. Freimanis is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 34 papers that have together received 973 indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Breast Lesions and Carcinomas (10 papers) and Global Cancer Incidence and Screening (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (283 citations), Cancer Research (171 citations) and Pathology and Forensic Medicine (170 citations). Rita I. Freimanis has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Yui Man Lui, Edward A. Levine, Jennifer J. Hu, Tasha Smith, Nancy D. Perrier, Glenn O. Allen, Wen Liu‐Mares, Steven A. Akman, Kimberly Hoang and Bonnie N. Joe. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Cancer Research and Radiology.
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.