Rita Noumeir
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Philippe JouvetWassim BouachirSandrine EssouriJean‐Marc LinaG.E. MaillouxGeorges KaddoumMichaël SauthierJung Ho Kim
- Topics
- Medical Imaging Techniques and Applications (11 papers)Non-Invasive Vital Sign Monitoring (10 papers)Electronic Health Records Systems (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- CanadaFranceUnited States
In The Last Decade
Rita Noumeir
76 papers receiving 817 citations
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 313
- Biomedical Engineering 219
- Artificial Intelligence 166
- Radiology, Nuclear Medicine and Imaging 155
- Pulmonary and Respiratory Medicine 122
Countries citing papers authored by Rita Noumeir
This map shows the geographic impact of Rita Noumeir'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 Noumeir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Noumeir more than expected).
Fields of papers citing papers by Rita Noumeir
This network shows the impact of papers produced by Rita Noumeir. 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 Noumeir. The network helps show where Rita Noumeir may publish in the future.
Co-authorship network of co-authors of Rita Noumeir
This figure shows the co-authorship network connecting the top 25 collaborators of Rita Noumeir. A scholar is included among the top collaborators of Rita Noumeir 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 Noumeir. Rita Noumeir 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 31 | |
| 10 | 5 | |
| 11 | 29 | |
| 12 | 13 | |
| 13 | 26 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 23 | |
| 19 | 13 | |
| 20 | 7 |
About Rita Noumeir
Rita Noumeir is a scholar working on Health Information Management, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 81 papers that have together received 848 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (11 papers), Non-Invasive Vital Sign Monitoring (10 papers) and Electronic Health Records Systems (7 papers). The work is most often cited by research in Health Informatics (27 citations), Computer Vision and Pattern Recognition (313 citations) and Health Information Management (49 citations). Rita Noumeir has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Philippe Jouvet, Wassim Bouachir, Sandrine Essouri, Jean‐Marc Lina, G.E. Mailloux, Georges Kaddoum, Michaël Sauthier, Jung Ho Kim, Ho Min Kim and Ji Hyung Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Geoscience and Remote Sensing.
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.