Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Noémie Elhadad
Since
Specialization
Citations
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).
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.
Ranganath, Rajesh, Adler Perotte, Noémie Elhadad, & David M. Blei. (2015). The survival filter: joint survival analysis with a latent time series. Uncertainty in Artificial Intelligence. 742–751.12 indexed citations
Walsh, Colin G. & Noémie Elhadad. (2014). Modeling clinical context: rediscovering the social history and evaluating language from the clinic to the wards.. Europe PMC (PubMed Central). 2014. 224–31.11 indexed citations
Jansche, Martin, et al.. (2010). A Comparison of Features for Automatic Readability Assessment. International Conference on Computational Linguistics. 276–284.147 indexed citations
18.
Elhadad, Noémie, et al.. (2010). Cancer Stage Prediction Based on Patient Online Discourse. Meeting of the Association for Computational Linguistics. 64–71.19 indexed citations
19.
Brody, Samuel & Noémie Elhadad. (2010). An Unsupervised Aspect-Sentiment Model for Online Reviews. North American Chapter of the Association for Computational Linguistics. 804–812.319 indexed citations
20.
Elhadad, Noémie. (2004). User-Sensitive Text Summarization.. National Conference on Artificial Intelligence. 987–988.4 indexed citations
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.