Citations per year, relative to Asma Ben Abacha Asma Ben Abacha (= 1×)
peers
裕二 池谷
Countries citing papers authored by Asma Ben Abacha
Since
Specialization
Citations
This map shows the geographic impact of Asma Ben Abacha'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 Asma Ben Abacha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asma Ben Abacha more than expected).
This network shows the impact of papers produced by Asma Ben Abacha. 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 Asma Ben Abacha. The network helps show where Asma Ben Abacha may publish in the future.
Co-authorship network of co-authors of Asma Ben Abacha
This figure shows the co-authorship network connecting the top 25 collaborators of Asma Ben Abacha.
A scholar is included among the top collaborators of Asma Ben Abacha 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 Asma Ben Abacha. Asma Ben Abacha is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pelka, Obioma, et al.. (2021). Overview of the ImageCLEFmed 2021 Concept & Caption Prediction Task.. ArODES (HES-SO (https://www.hes-so.ch/)). 1101–1112.7 indexed citations
6.
Sarrouti, Mourad, Deepak Gupta, Asma Ben Abacha, & Dina Demner‐Fushman. (2021). NLM at BioASQ Synergy 2021: Deep learning-based methods for biomedical semantic question answering about COVID-19. 2936. 335–350.3 indexed citations
Mrabet, Yassine, Mourad Sarrouti, Asma Ben Abacha, et al.. (2020). NLM at TREC 2020 Health Misinformation and Deep Learning Tracks.. Text REtrieval Conference.1 indexed citations
Abacha, Asma Ben, et al.. (2018). NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain.. CLEF (Working Notes).20 indexed citations
11.
Abacha, Asma Ben, et al.. (2017). NLM at ImageCLEF 2017 Caption Task.. CLEF (Working Notes).4 indexed citations
12.
Abacha, Asma Ben, Eugene Agichtein, Yuval Pinter, & Dina Demner‐Fushman. (2017). Overview of the Medical Question Answering Task at TREC 2017 LiveQA.. Text REtrieval Conference.20 indexed citations
13.
Abacha, Asma Ben & Dina Demner‐Fushman. (2016). Recognizing Question Entailment for Medical Question Answering.. PubMed. 2016. 310–318.42 indexed citations
14.
Abacha, Asma Ben, et al.. (2016). A Hybrid Approach to Generation of Missing Abstracts in Biomedical Literature. International Conference on Computational Linguistics. 1093–1100.1 indexed citations
15.
Abacha, Asma Ben. (2016). NLM NIH at TREC 2016 Clinical Decision Support Track.. Text REtrieval Conference.1 indexed citations
16.
Abacha, Asma Ben, et al.. (2015). LIST at TREC 2015 Clinical Decision Support Track: Question Analysis and Unsupervised Result Fusion. Text REtrieval Conference.6 indexed citations
17.
Abacha, Asma Ben & Pierre Zweigenbaum. (2014). MEANS : une approche sémantique pour la recherche de réponses aux questions médicales. 55. 71–104.2 indexed citations
18.
Abacha, Asma Ben, et al.. (2014). CRP Henri Tudor at TREC 2014: Combining Search Results for Clinical Decision Support. Text REtrieval Conference.4 indexed citations
19.
Abacha, Asma Ben, Marcos Da Silveira, & Cédric Pruski. (2013). Une approche pour la validation du contenu d'une ontologie par un système à base de questions/réponses. SPIRE - Sciences Po Institutional REpository.1 indexed citations
20.
Abacha, Asma Ben & Pierre Zweigenbaum. (2012). Analyse et transformation des questions médicales en requêtes SPARQL. 111–122.1 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.