Éric Gaussier

8.8k total citations
70 papers, 1.8k citations indexed

About

Éric Gaussier is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Éric Gaussier has authored 70 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 14 papers in Information Systems and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Éric Gaussier's work include Natural Language Processing Techniques (31 papers), Topic Modeling (29 papers) and Text and Document Classification Technologies (11 papers). Éric Gaussier is often cited by papers focused on Natural Language Processing Techniques (31 papers), Topic Modeling (29 papers) and Text and Document Classification Technologies (11 papers). Éric Gaussier collaborates with scholars based in France, United States and Australia. Éric Gaussier's co-authors include Cyril Goutte, Dan Jurafsky, Thibaut Thonet, Béatrice Daille, Jean-Marc Langé, Nicola Cancedda, Hervé Déjean, Théo Trouillon, Christopher R. Dance and Sebastian Riedel and has published in prestigious journals such as Bioinformatics, Entrepreneurship Theory and Practice and Neurocomputing.

In The Last Decade

Éric Gaussier

66 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Éric Gaussier France 21 1.3k 266 251 199 142 70 1.8k
Marco Turchi Italy 26 2.4k 1.8× 372 1.4× 260 1.0× 126 0.6× 157 1.1× 136 2.8k
Keith Hall United States 19 1.9k 1.5× 289 1.1× 226 0.9× 100 0.5× 125 0.9× 72 2.3k
Adiwijaya Adiwijaya Indonesia 23 1.1k 0.8× 230 0.9× 725 2.9× 205 1.0× 92 0.6× 242 2.1k
Joseph Turian United States 7 1.7k 1.3× 444 1.7× 181 0.7× 178 0.9× 169 1.2× 11 2.2k
Gideon Mann United States 19 1.4k 1.0× 219 0.8× 294 1.2× 105 0.5× 116 0.8× 30 1.7k
Deyi Xiong China 24 2.1k 1.6× 648 2.4× 179 0.7× 147 0.7× 61 0.4× 180 2.4k
Krista Lagus Finland 21 2.0k 1.5× 598 2.2× 464 1.8× 116 0.6× 301 2.1× 61 2.6k
Holger Schwenk France 26 3.5k 2.6× 816 3.1× 264 1.1× 142 0.7× 317 2.2× 93 3.8k
Shay B. Cohen United Kingdom 22 2.0k 1.5× 263 1.0× 159 0.6× 148 0.7× 92 0.6× 120 2.4k
Zuhair Bandar United Kingdom 16 1.4k 1.1× 106 0.4× 436 1.7× 179 0.9× 78 0.5× 59 1.8k

Countries citing papers authored by Éric Gaussier

Since Specialization
Citations

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

Fields of papers citing papers by Éric Gaussier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éric Gaussier

This figure shows the co-authorship network connecting the top 25 collaborators of Éric Gaussier. A scholar is included among the top collaborators of Éric Gaussier 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 Éric Gaussier. Éric Gaussier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Minghan, et al.. (2022). The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. ACM Transactions on Information Systems. 41(3). 1–35. 8 indexed citations
2.
Gaussier, Éric, et al.. (2021). Globalizing BERT-based Transformer Architectures for Long Document Summarization. 1792–1810. 26 indexed citations
3.
Gaussier, Éric, et al.. (2020). Supervised Categorical Metric Learning with Schatten p-Norms. arXiv (Cornell University). 2 indexed citations
4.
Colombo, Paolo, et al.. (2020). Heavy-tailed Representations, Text Polarity Classification & Data Augmentation. arXiv (Cornell University). 4 indexed citations
5.
Thonet, Thibaut, et al.. (2018). Deep $k$-Means: Jointly clustering with $k$-Means and learning\n representations. arXiv (Cornell University). 149 indexed citations
6.
Gaussier, Éric, et al.. (2017). Time Series Forecasting using RNNs: an Extended Attention Mechanism to Model Periods and Handle Missing Values.. arXiv (Cornell University). 8 indexed citations
7.
Trouillon, Théo, Christopher R. Dance, Éric Gaussier, et al.. (2017). Knowledge graph completion via complex tensor factorization. arXiv (Cornell University). 18(1). 4735–4772. 131 indexed citations
8.
Li, Bo, Éric Gaussier, & Dan Yang. (2017). The Dilution/Concentration conditions for cross-language information retrieval models. Information Processing & Management. 54(2). 291–302. 3 indexed citations
9.
Goyal, Raghav, Marc Dymetman, & Éric Gaussier. (2016). Natural Language Generation through Character-based RNNs with Finite-state Prior Knowledge. International Conference on Computational Linguistics. 1083–1092. 7 indexed citations
10.
Douzal-Chouakria, Ahlame, et al.. (2015). Progressive and Iterative Approaches for Time Series Averaging. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
11.
Gaussier, Éric, et al.. (2013). On Flat versus Hierarchical Classification in Large-Scale Taxonomies. HAL (Le Centre pour la Communication Scientifique Directe). 9 indexed citations
12.
Tsatsaronis, George, Michael Schroeder, Γεώργιος Παλιούρας, et al.. (2012). BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering.. 43 indexed citations
13.
Clinchant, Stéphane & Éric Gaussier. (2008). The BNB distribution for text modeling. 150–161. 5 indexed citations
14.
Jurafsky, Dan & Éric Gaussier. (2006). Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing. Empirical Methods in Natural Language Processing. 170 indexed citations
15.
Déjean, Hervé, et al.. (2005). Automatic processing of multilingual medical terminology: applications to thesaurus enrichment and cross-language information retrieval. Artificial Intelligence in Medicine. 33(2). 111–124. 18 indexed citations
16.
Goutte, Cyril, et al.. (2004). Assisting medical annotation in Swiss-Prot using statistical classifiers. International Journal of Medical Informatics. 74(2-4). 317–324. 6 indexed citations
17.
Goutte, Cyril, Kenji Yamada, & Éric Gaussier. (2004). Aligning words using matrix factorisation. 502–es. 16 indexed citations
18.
Cancedda, Nicola, et al.. (2003). Word sequence kernels. Journal of Machine Learning Research. 3(6). 1059–1082. 111 indexed citations
19.
Gaussier, Éric & Nicola Cancedda. (2001). Probabilistic models for PP-attachment resolution and NP analysis. 7. 1–8. 5 indexed citations
20.
Gaussier, Éric. (1998). Flow network models for word alignment and terminology extraction from bilingual corpora. 1. 444–444. 20 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.

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