Noémie Elhadad
- Artificial Intelligence top 0.1%
- Molecular Biology top 5%
- Health Information Management top 0.1%
- General Health Professions top 2%
- Information Systems top 2%
- Co-authors
- Samuel BrodyRegina BarzilayRimma PivovarovYin LouPaul KochRich CaruanaJohannes GehrkeShaodian Zhang
- Topics
- Topic Modeling (49 papers)Biomedical Text Mining and Ontologies (45 papers)Natural Language Processing Techniques (30 papers)
- Journals
- Nature MedicineSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Noémie Elhadad
135 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Artificial Intelligence 4.1k
- Molecular Biology 1.5k
- Health Information Management 722
- General Health Professions 503
- Information Systems 437
Countries citing papers authored by Noémie Elhadad
This map shows the geographic impact of Noémie Elhadad'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 Noémie Elhadad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noémie Elhadad more than expected).
Fields of papers citing papers by Noémie Elhadad
This network shows the impact of papers produced by Noémie Elhadad. 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 Noémie Elhadad. The network helps show where Noémie Elhadad may publish in the future.
Co-authorship network of co-authors of Noémie Elhadad
This figure shows the co-authorship network connecting the top 25 collaborators of Noémie Elhadad. A scholar is included among the top collaborators of Noémie Elhadad 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 Noémie Elhadad. Noémie Elhadad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 16 | |
| 8 | 1 | |
| 9 | 18 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 57 | |
| 15 | 50 | |
| 16 | Model Selection For EHR Laboratory Tests Preserving Healthcare Context and Underlying Physiology. | 2 |
| 17 | 152 | |
| 18 | Hierarchically Supervised Latent Dirichlet Allocation | 72 |
| 19 | An Unsupervised Aspect-Sentiment Model for Online Reviews | 319 |
| 20 | 40 |
About Noémie Elhadad
Noémie Elhadad is a scholar working on Health Informatics, Artificial Intelligence and Applied Psychology, having authored 144 papers that have together received 6.0k indexed citations. Recurring topics across this work include Topic Modeling (49 papers), Biomedical Text Mining and Ontologies (45 papers) and Natural Language Processing Techniques (30 papers). The work is most often cited by research in Health Informatics (335 citations), Health Information Management (722 citations) and Artificial Intelligence (4.1k citations). Noémie Elhadad has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Samuel Brody, Regina Barzilay, Rimma Pivovarov, Yin Lou, Paul Koch, Rich Caruana, Johannes Gehrke, Shaodian Zhang, Amélie Marian and Matt Huenerfauth. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.
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.