Lamia Tounsi

36 total papers · 793 total citations
17 papers, 443 citations indexed

About

Lamia Tounsi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Pathology and Forensic Medicine. According to data from OpenAlex, Lamia Tounsi has authored 17 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Lamia Tounsi's work include Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Text Readability and Simplification (4 papers). Lamia Tounsi is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Text Readability and Simplification (4 papers). Lamia Tounsi collaborates with scholars based in Ireland, United States and Germany. Lamia Tounsi's co-authors include Jennifer Foster, Josef van Genabith, Mohammed Attia, Dasha Bogdanova, Joachim Wagner, Piyush Arora, Santiago Cortés, Antonio Toral, Mark Hughes and Pavel Pecina and has published in prestigious journals such as Language Resources and Evaluation, Studies in health technology and informatics and Journal Français d Ophtalmologie.

In The Last Decade

Lamia Tounsi

17 papers receiving 387 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lamia Tounsi 417 43 25 24 23 17 443
Nina Tahmasebi 315 0.8× 43 1.0× 23 0.9× 22 0.9× 13 0.6× 42 390
Or Biran 352 0.8× 47 1.1× 22 0.9× 26 1.1× 22 1.0× 18 417
Mladen Karan 358 0.9× 71 1.7× 22 0.9× 26 1.1× 22 1.0× 27 414
Jagadeesh Jagarlamudi 391 0.9× 61 1.4× 52 2.1× 21 0.9× 17 0.7× 17 447
Younes Samih 382 0.9× 43 1.0× 35 1.4× 14 0.6× 11 0.5× 34 405
Renfen Hu 330 0.8× 54 1.3× 32 1.3× 26 1.1× 5 0.2× 19 404
Stephan Gouws 449 1.1× 43 1.0× 70 2.8× 12 0.5× 10 0.4× 9 484
Quan Ze Chen 371 0.9× 42 1.0× 18 0.7× 46 1.9× 34 1.5× 11 459
El Moatez Billah Nagoudi 399 1.0× 66 1.5× 34 1.4× 41 1.7× 9 0.4× 27 464
Bin Lu 258 0.6× 44 1.0× 26 1.0× 35 1.5× 7 0.3× 26 374

Countries citing papers authored by Lamia Tounsi

Since Specialization
Citations

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).

Fields of papers citing papers by Lamia Tounsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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