Marie‐Francine Moens

9.3k total citations
280 papers, 5.2k citations indexed

About

Marie‐Francine Moens is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Marie‐Francine Moens has authored 280 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 205 papers in Artificial Intelligence, 67 papers in Computer Vision and Pattern Recognition and 47 papers in Information Systems. Recurrent topics in Marie‐Francine Moens's work include Topic Modeling (118 papers), Natural Language Processing Techniques (117 papers) and Multimodal Machine Learning Applications (41 papers). Marie‐Francine Moens is often cited by papers focused on Topic Modeling (118 papers), Natural Language Processing Techniques (117 papers) and Multimodal Machine Learning Applications (41 papers). Marie‐Francine Moens collaborates with scholars based in Belgium, United States and Netherlands. Marie‐Francine Moens's co-authors include Ivan Vulić, Raquel Mochales Palau, Steven Bethard, Oleksandr Kolomiyets, Koen Deschacht, Parisa Kordjamshidi, Wim De Smet, Lise Manniche, Jos Dumortier and Artuur Leeuwenberg and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Marie‐Francine Moens

257 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marie‐Francine Moens Belgium	36	3.8k	1.1k	783	348	281	280	5.2k
Nils Reimers Germany	13	4.1k 1.1×	1.0k 0.9×	920 1.2×	437 1.3×	97 0.3×	27	5.7k
Hanna Wallach United States	26	3.0k 0.8×	748 0.7×	411 0.5×	578 1.7×	168 0.6×	67	4.9k
Steven Bird Australia	29	4.9k 1.3×	1.2k 1.1×	689 0.9×	553 1.6×	70 0.2×	134	6.8k
Jordan Boyd‐Graber United States	33	3.6k 0.9×	639 0.6×	548 0.7×	510 1.5×	113 0.4×	124	4.9k
Edward Loper United States	6	3.2k 0.8×	966 0.9×	485 0.6×	481 1.4×	58 0.2×	8	4.6k
Jenny Rose Finkel United States	14	6.0k 1.6×	1.3k 1.2×	804 1.0×	423 1.2×	77 0.3×	18	7.3k
Diyi Yang United States	35	4.7k 1.2×	1.1k 1.0×	692 0.9×	837 2.4×	144 0.5×	169	7.0k
Alexander M. Rush United States	36	4.6k 1.2×	487 0.4×	1.4k 1.8×	183 0.5×	60 0.2×	125	6.0k
Édouard Grave Israel	16	5.2k 1.4×	1.0k 0.9×	1.1k 1.4×	377 1.1×	59 0.2×	25	6.7k
Alan Ritter United States	28	4.4k 1.2×	880 0.8×	617 0.8×	324 0.9×	41 0.1×	71	5.2k

Countries citing papers authored by Marie‐Francine Moens

Since Specialization

Citations

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

Fields of papers citing papers by Marie‐Francine Moens

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie‐Francine Moens. 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 Marie‐Francine Moens. The network helps show where Marie‐Francine Moens may publish in the future.

Co-authorship network of co-authors of Marie‐Francine Moens

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

All Works

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20 of 20 papers shown

Tuytelaars, Tinne, et al.. (2024). Visually-Aware Context Modeling for News Image Captioning. 2927–2943. 2 indexed citations

Moens, Marie‐Francine, et al.. (2023). Bidirectional Representations for Low-Resource Spoken Language Understanding. Applied Sciences. 13(20). 11291–11291.

Yin, Wenpeng, et al.. (2022). Anti-Overestimation Dialogue Policy Learning for Task-Completion Dialogue System. Lirias (KU Leuven). 565–577. 2 indexed citations

Villa, Andrés, et al.. (2021). Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 3016–3022. 2 indexed citations

Vulić, Ivan, et al.. (2017). Bilingual Lexicon Induction by Learning to Combine Word-Level and Character-Level Representations. Lirias (KU Leuven). 1085–1095. 22 indexed citations

Farnadi, Golnoosh, et al.. (2014). Age and gender identification in social media. Ghent University Academic Bibliography (Ghent University). 1129–1136. 38 indexed citations

Glavaš, Goran, Jan Šnajder, Marie‐Francine Moens, & Parisa Kordjamshidi. (2014). HiEve: A Corpus for Extracting Event Hierarchies from News Stories. Language Resources and Evaluation. 3678–3683. 30 indexed citations

Kolomiyets, Oleksandr, Parisa Kordjamshidi, Marie‐Francine Moens, & Steven Bethard. (2013). SemEval-2013 Task 3: Spatial Role Labeling. Lirias (KU Leuven). 2. 255–262. 23 indexed citations

Kordjamshidi, Parisa, Steven Bethard, & Marie‐Francine Moens. (2012). SemEval-2012 Task 3: Spatial Role Labeling. Lirias (KU Leuven). 2. 365–373. 29 indexed citations

10.

Gyllstrom, Karl & Marie‐Francine Moens. (2011). Clash of the typings: finding controversies and children's topics within queries. Lecture notes in computer science. 6611. 80–91. 7 indexed citations

11.

Vulić, Ivan, Wim De Smet, & Marie‐Francine Moens. (2011). Identifying Word Translations from Comparable Corpora Using Latent Topic Models. Lirias (KU Leuven). 479–484. 58 indexed citations

12.

Smet, Wim De, et al.. (2011). Knowledge transfer across multilingual corpora via latent topics. Lecture notes in computer science. 6634. 549–560. 16 indexed citations

13.

Smet, Wim De & Marie‐Francine Moens. (2009). An aspect based document representation for event clustering. Lirias (KU Leuven). 11 indexed citations

14.

Bergholz, André, et al.. (2008). Detecting Known and New Salting Tricks in Unwanted Emails.. Lirias (KU Leuven). 6 indexed citations

15.

Moens, Marie‐Francine, et al.. (2008). Linking names and faces: seeing the problem in different ways. Lirias (KU Leuven). 68–81. 5 indexed citations

16.

Deschacht, Koen, et al.. (2007). Automatic Sentiment Analysis in On-line Text. Elpub digital library. 349–360. 101 indexed citations

17.

Moens, Marie‐Francine. (2007). Information Extraction: The Power of Words and Pictures. Journal of Computing and Information Technology. 15(4). 295–295. 1 indexed citations

18.

Moens, Marie‐Francine. (2006). Information Extraction: Algorithms and Prospects in a Retrieval Context (The Information Retrieval Series). Springer eBooks. 131(5). 427–8. 41 indexed citations

19.

Vanthienen, Jan, et al.. (2006). MULTI-CRITERIA EVALUATION OF INFORMATION RETRIEVAL TOOLS. International Conference on Enterprise Information Systems. 179. 150–155. 1 indexed citations

20.

Deschacht, Koen & Marie‐Francine Moens. (2006). Efficient Hierarchical Entity Classifier Using Conditional Random Fields. 33–40. 7 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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