This map shows the geographic impact of Lamia Tounsi'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 Lamia Tounsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lamia Tounsi more than expected).
This network shows the impact of papers produced by Lamia Tounsi. 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 Lamia Tounsi. The network helps show where Lamia Tounsi may publish in the future.
Co-authorship network of co-authors of Lamia Tounsi
This figure shows the co-authorship network connecting the top 25 collaborators of Lamia Tounsi.
A scholar is included among the top collaborators of Lamia Tounsi 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 Lamia Tounsi. Lamia Tounsi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
17 of 17 papers shown
1.
Graham, Yvette, et al.. (2016). Is all that Glitters in Machine Translation Quality Estimation really Gold. Radboud Repository (Radboud University). 3124–3134.8 indexed citations
Foster, Jennifer, et al.. (2013). Sentiment Analysis of Political Tweets: Towards an Accurate Classifier. Arrow@dit (Dublin Institute of Technology). 49–58.79 indexed citations
Attia, Mohammed, Khaled Shaalan, Lamia Tounsi, & Josef van Genabith. (2012). Automatic Extraction and Evaluation of Arabic LFG Resources. Language Resources and Evaluation. 1947–1954.1 indexed citations
7.
Attia, Mohammed, Pavel Pecina, Antonio Toral, Lamia Tounsi, & Josef van Genabith. (2011). An Open-Source Finite State Morphological Transducer for Modern Standard Arabic. 125–133.22 indexed citations
8.
Tounsi, Lamia, et al.. (2011). Morphological Features for Parsing Morphologically-rich Languages: A Case of Arabic. 12–21.9 indexed citations
9.
Attia, Mohammed, Pavel Pecina, Lamia Tounsi, Antonio Toral, & Josef van Genabith. (2011). Lexical Profiling for Arabic. 23–33.5 indexed citations
10.
Attia, Mohammed, Antonio Toral, Lamia Tounsi, Pavel Pecina, & Josef van Genabith. (2010). Automatic Extraction of Arabic Multiword Expressions. Arrow@dit (Dublin Institute of Technology). 19–27.33 indexed citations
11.
Attia, Mohammed, Antonio Toral, Lamia Tounsi, Monica Monachini, & Josef van Genabith. (2010). An Automatically Built Named Entity Lexicon for Arabic. Language Resources and Evaluation.24 indexed citations
12.
Tounsi, Lamia & Josef van Genabith. (2010). Arabic parsing using grammar transforms. Language Resources and Evaluation.5 indexed citations
13.
Tsarfaty, Reut, Yoav Goldberg, Sandra Kuebler, et al.. (2010). Statistical Parsing of Morphologically Rich Languages (SPMRL) What, How and Whither. Arrow@dit (Dublin Institute of Technology). 1–12.67 indexed citations
Tounsi, Lamia, Mohammed Attia, & Josef van Genabith. (2009). Parsing Arabic using treebank-based LFG resources. Arrow@dit (Dublin Institute of Technology).9 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.