Philippe Laban
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text Readability and Simplification
- Speech and dialogue systems
- Machine Learning in Healthcare
Papers in
-
- Natural Language Processing Techniques 16
- Topic Modeling 16
- Text Readability and Simplification 4
- Advanced Text Analysis Techniques 3
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- Software Engineering Research 2
- Co-authors
- Marti A. Hearst (5 shared papers)Paul N. Bennett (2 shared papers)Tobias Schnabel (2 shared papers)Chien-Sheng Wu (20 shared papers)Caiming Xiong (16 shared papers)Tuhin Chakrabarty (2 shared papers)Smaranda Muresan (1 shared paper)Wenhao Liu (4 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)ACM Transactions on Computer-Human Interaction (1 paper)
- Partner nations
- United States
In The Last Decade
Philippe Laban
25 papers receiving 300 citations
Philippe Laban's Hit Papers
Peers
Comparison fields: 5 of 51
- Health Informatics 11
- Artificial Intelligence 242
- Family Practice 5
- Human-Computer Interaction 10
- General Social Sciences 5
Countries citing papers authored by Philippe Laban
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
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-authors
The 25 scholars most cited alongside Philippe Laban, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 90 | |
| 2 | Art or Artifice? Large Language Models and the False Promise of Creativity Hit paper breakdown → | 2024 | 45 |
| 3 | 2021 | 25 | |
| 4 | 2023 | 21 | |
| 5 | 2022 | 21 | |
| 6 | 2017 | 19 | |
| 7 | 2023 | 12 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 12 | |
| 10 | 2024 | 8 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2025 | 2 |
About Philippe Laban
Philippe Laban is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Communication and Sociology and Political Science, having authored 28 papers that have together received 310 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (16 papers), Topic Modeling (16 papers), Text Readability and Simplification (4 papers), Multimodal Machine Learning Applications (3 papers), Advanced Text Analysis Techniques (3 papers), Wikis in Education and Collaboration (3 papers), Software Engineering Research (2 papers) and Categorization, perception, and language (1 paper). The work is most often cited by research in Health Informatics (11 citations), Artificial Intelligence (242 citations), Family Practice (5 citations), Human-Computer Interaction (10 citations) and General Social Sciences (5 citations). Philippe Laban has collaborated with scholars based in United States. Frequent 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. Their work appears in journals such as Transactions of the Association for Computational Linguistics and ACM Transactions on Computer-Human Interaction.
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.