Philippe Laban

68 total papers · 684 total citations
28 papers, 293 citations indexed

About

Philippe Laban is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Philippe Laban has authored 28 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Philippe Laban's work include Topic Modeling (16 papers), Natural Language Processing Techniques (16 papers) and Text Readability and Simplification (4 papers). Philippe Laban is often cited by papers focused on Topic Modeling (16 papers), Natural Language Processing Techniques (16 papers) and Text Readability and Simplification (4 papers). Philippe Laban collaborates with scholars based in United States. Philippe Laban's co-authors include Marti A. Hearst, Paul N. Bennett, Tobias Schnabel, Chien-Sheng Wu, Caiming Xiong, Tuhin Chakrabarty, Smaranda Muresan, Wenhao Liu, Wojciech Kryściński and Greg Durrett and has published in prestigious journals such as ACM Transactions on Computer-Human Interaction and Transactions of the Association for Computational Linguistics.

In The Last Decade

Philippe Laban

24 papers receiving 286 citations

Author Peers

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

Author Last Decade Papers Cites
Philippe Laban 236 34 31 17 15 28 293
Dimitra Gkatzia 221 0.9× 32 0.9× 51 1.6× 12 0.7× 6 0.4× 34 271
Yitong Li 263 1.1× 51 1.5× 56 1.8× 11 0.6× 14 0.9× 42 325
Simone Conia 267 1.1× 13 0.4× 35 1.1× 17 1.0× 13 0.9× 25 343
Lu Wang 298 1.3× 37 1.1× 38 1.2× 44 2.6× 9 0.6× 23 356
Anna Rogers 296 1.3× 25 0.7× 67 2.2× 24 1.4× 13 0.9× 22 363
Abdulqader M. Almars 176 0.7× 40 1.2× 94 3.0× 43 2.5× 16 1.1× 26 365
Marc Franco-Salvador 315 1.3× 59 1.7× 16 0.5× 10 0.6× 4 0.3× 24 358
Caroline Lyon 211 0.9× 52 1.5× 18 0.6× 13 0.8× 6 0.4× 18 337
Xiaochuang Han 243 1.0× 26 0.8× 36 1.2× 20 1.2× 4 0.3× 18 316
Emmanuele Chersoni 219 0.9× 15 0.4× 17 0.5× 16 0.9× 30 2.0× 52 313

Countries citing papers authored by Philippe Laban

Since Specialization
Citations

This map shows the geographic impact of Philippe Laban'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 Philippe Laban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Laban more than expected).

Fields of papers citing papers by Philippe Laban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philippe Laban. 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 Philippe Laban. The network helps show where Philippe Laban may publish in the future.

Co-authorship network of co-authors of Philippe Laban

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Laban. A scholar is included among the top collaborators of Philippe Laban 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 Philippe Laban. Philippe Laban 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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