Christiane M. Hakim
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- Radiology practices and education 7
- Radiomics and Machine Learning in Medical Imaging 6
- Medical Imaging Techniques and Applications 6
- Artificial Intelligence top 1%
- AI in cancer detection 35
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- Digital Radiography and Breast Imaging 25
- Health Informatics top 5%
- Oncology top 5%
- Global Cancer Incidence and Screening 14
- Colorectal Cancer Screening and Detection 6
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- Pelvic and Acetabular Injuries 4
- Co-authors
- David GurMarie A. GanottJules H. SumkinDenise M. ChoughMargarita L. ZuleyLara A. HardestyAndriy I. BandosRatan Shah
- Cited by
- Radiology, Nuclear Medicine and ImagingArtificial IntelligencePulmonary and Respiratory Medicine
- Journals
- Academic Radiology (12 papers)Radiology (7 papers)American Journal of Roentgenology (6 papers)
- Partner nations
- United StatesTaiwanCanada
In The Last Decade
Christiane M. Hakim
45 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 88
- Radiology, Nuclear Medicine and Imaging 1.2k
- Artificial Intelligence 1.4k
- Pulmonary and Respiratory Medicine 1.3k
- Health Informatics 32
- Oncology 544
Countries citing papers authored by Christiane M. Hakim
This map shows the geographic impact of Christiane M. Hakim'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 Christiane M. Hakim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christiane M. Hakim more than expected).
Fields of papers citing papers by Christiane M. Hakim
This network shows the impact of papers produced by Christiane M. Hakim. 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 Christiane M. Hakim. The network helps show where Christiane M. Hakim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christiane M. Hakim, 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 | 2025 | 1 | |
| 2 | 2024 | 12 | |
| 3 | 2019 | 67 | |
| 4 | 2019 | 25 | |
| 5 | 2015 | 17 | |
| 6 | 2015 | 22 | |
| 7 | 2013 | 8 | |
| 8 | 2010 | 13 | |
| 9 | 2009 | 45 | |
| 10 | 2008 | 32 | |
| 11 | 2008 | 38 | |
| 12 | 2007 | 12 | |
| 13 | 2006 | 11 | |
| 14 | 2004 | 222 | |
| 15 | 2004 | 51 | |
| 16 | 2003 | 5 | |
| 17 | 2002 | 25 | |
| 18 | 2001 | 24 | |
| 19 | 2001 | 78 | |
| 20 | 1997 | 17 |
About Christiane M. Hakim
Christiane M. Hakim is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology and Rheumatology, having authored 46 papers that have together received 2.1k indexed citations. Recurring topics across this work include AI in cancer detection (35 papers), Digital Radiography and Breast Imaging (25 papers), Global Cancer Incidence and Screening (14 papers), Radiology practices and education (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (6 papers), Colorectal Cancer Screening and Detection (6 papers) and Pelvic and Acetabular Injuries (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Artificial Intelligence (1.4k citations), Pulmonary and Respiratory Medicine (1.3k citations), Health Informatics (32 citations) and Oncology (544 citations). Christiane M. Hakim has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include David Gur, Marie A. Ganott, Jules H. Sumkin, Denise M. Chough, Margarita L. Zuley, Lara A. Hardesty, Andriy I. Bandos, Ratan Shah, Luisa P. Wallace and Howard E. Rockette. Their work appears in journals such as Academic Radiology, Radiology, American Journal of Roentgenology, Medical Physics and Cancer.
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.