Christel Daniel
Impact in
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- Artificial Intelligence in Healthcare and Education
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- Electronic Health Records Systems
Papers in
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- AI in cancer detection 2
- Natural Language Processing Techniques 1
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- Biomedical Text Mining and Ontologies 3
- Co-authors
- Thomas Schräder (3 shared papers)Marcial García Rojo (2 shared papers)Vincenzo Della Mea (2 shared papers)Bruce A. Beckwith (2 shared papers)Dominique Hénin (1 shared paper)John R. Gilbertson (1 shared paper)Marcial García‐Rojo (2 shared papers)Arvydas Laurinavičius (2 shared papers)
In The Last Decade
Christel Daniel
10 papers receiving 87 citations
Peers
Comparison fields: 5 of 31
- Health Informatics 6
- Health Information Management 9
- Biophysics 10
- Artificial Intelligence 36
- Medical Laboratory Technology 1
Countries citing papers authored by Christel Daniel
This map shows the geographic impact of Christel Daniel'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 Christel Daniel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christel Daniel more than expected).
Fields of papers citing papers by Christel Daniel
This network shows the impact of papers produced by Christel Daniel. 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 Christel Daniel. The network helps show where Christel Daniel may publish in the future.
Co-authors
The 25 scholars most cited alongside Christel Daniel, 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 | 2009 | 30 | |
| 2 | 2021 | 14 | |
| 3 | Standards and specifications in pathology: image management, report management and terminology. | 2012 | 13 |
| 4 | 2012 | 10 | |
| 5 | SNOMED CT in pathology. | 2012 | 5 |
| 6 | Standard-based EHR-enabled applications for clinical research and patient safety: CDISC - IHE QRPH - EHR4CR & SALUS collaboration. | 2014 | 5 |
| 7 | 2023 | 4 | |
| 8 | 2022 | 3 | |
| 9 | 2017 | 2 | |
| 10 | 2018 | 1 | |
| 11 | 2021 | 0 |
About Christel Daniel
Christel Daniel is a scholar working on Artificial Intelligence, Molecular Biology, Health Information Management, Information Systems and Management and Infectious Diseases, having authored 11 papers that have together received 87 indexed citations. Recurring topics across this work include Electronic Health Records Systems (3 papers), Biomedical Text Mining and Ontologies (3 papers), Scientific Computing and Data Management (2 papers), AI in cancer detection (2 papers), Research Data Management Practices (1 paper), COVID-19 Clinical Research Studies (1 paper), Natural Language Processing Techniques (1 paper) and Ethics in Clinical Research (1 paper). The work is most often cited by research in Health Informatics (6 citations), Health Information Management (9 citations), Biophysics (10 citations), Artificial Intelligence (36 citations) and Medical Laboratory Technology (1 citation). Christel Daniel has collaborated with scholars based in France, Belgium and Spain. Frequent co-authors include Thomas Schräder, Marcial García Rojo, Vincenzo Della Mea, Bruce A. Beckwith, Dominique Hénin, John R. Gilbertson, Marcial García‐Rojo, Arvydas Laurinavičius, Dipak Kalra and Sopio Tatulashvili. Their work appears in journals such as Yearbook of Medical Informatics, Archives of Pathology & Laboratory Medicine, The Journal of Clinical Endocrinology & Metabolism, BMJ Health & Care Informatics and PubMed.
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.