Manel Zarrouk

575 total citations
20 papers, 267 citations indexed

About

Manel Zarrouk is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Manel Zarrouk has authored 20 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Media Technology. Recurrent topics in Manel Zarrouk's work include Topic Modeling (11 papers), Natural Language Processing Techniques (11 papers) and Semantic Web and Ontologies (6 papers). Manel Zarrouk is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (11 papers) and Semantic Web and Ontologies (6 papers). Manel Zarrouk collaborates with scholars based in Ireland, France and Germany. Manel Zarrouk's co-authors include Brian Davis, Siegfried Handschuh, André Freitas, Keith Cortis, Alexandra Balahur, Mathieu Lafourcade, Nicolas Ballier, Ruba Priyadharshini, Mihael Arčan and Bharathi Raja Chakravarthi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Language Resources and Evaluation and ReCALL.

In The Last Decade

Manel Zarrouk

17 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manel Zarrouk Ireland 7 231 92 27 25 10 20 267
Yanyan Zou China 7 174 0.8× 89 1.0× 25 0.9× 24 1.0× 9 0.9× 13 202
Eraldo Rezende Fernandes Brazil 7 178 0.8× 49 0.5× 42 1.6× 7 0.3× 11 1.1× 18 235
Keith Cortis Germany 6 137 0.6× 58 0.6× 20 0.7× 4 0.2× 3 0.3× 10 166
Jingyun Xu China 9 302 1.3× 46 0.5× 53 2.0× 31 1.2× 1 0.1× 19 352
Anuj Mahajan India 5 63 0.3× 35 0.4× 21 0.8× 6 0.2× 6 0.6× 14 94
Paramita Mirza Germany 10 317 1.4× 59 0.6× 50 1.9× 17 0.7× 22 335
Samuel Broscheit Germany 9 182 0.8× 34 0.4× 15 0.6× 19 0.8× 4 0.4× 16 204
Martin Josifoski Switzerland 4 209 0.9× 32 0.3× 24 0.9× 31 1.2× 2 0.2× 8 231
Zhendong Dong China 4 291 1.3× 18 0.2× 53 2.0× 22 0.9× 5 0.5× 4 325
Varun Dogra India 6 78 0.3× 21 0.2× 29 1.1× 8 0.3× 3 0.3× 13 143

Countries citing papers authored by Manel Zarrouk

Since Specialization
Citations

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

Fields of papers citing papers by Manel Zarrouk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manel Zarrouk

This figure shows the co-authorship network connecting the top 25 collaborators of Manel Zarrouk. A scholar is included among the top collaborators of Manel Zarrouk 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 Manel Zarrouk. Manel Zarrouk 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.
Simpkin, Andrew J., et al.. (2021). Predicting CEFR levels in learners of English: The use of microsystem criterial features in a machine learning approach. ReCALL. 34(2). 130–146. 15 indexed citations
2.
Zarrouk, Manel, et al.. (2021). Do city dashboards make sense? Conceptualising user experiences and challenges in using city dashboards. A case study. ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway). 219–226. 2 indexed citations
3.
d’Aquin, Mathieu, et al.. (2020). Person-Independent Multimodal Emotion Detection for Children with High-Functioning Autism.. International Joint Conference on Artificial Intelligence. 14–20. 1 indexed citations
4.
Chakravarthi, Bharathi Raja, et al.. (2019). Multilingual multimodal machine translation for Dravidian languages utilizing phonetic transcription. Arrow@dit (Dublin Institute of Technology). 56–63. 18 indexed citations
5.
Zarrouk, Manel, et al.. (2019). CoSACT: A Collaborative Tool for Fine-Grained Sentiment Annotation and Consolidation of Text. 34–39. 1 indexed citations
6.
Davis, Brian, et al.. (2018). Sensemaking of complex sociotechnical systems. ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway). 1–2. 4 indexed citations
7.
Davis, Brian, et al.. (2018). SemR-11: a multi-lingual gold-standard for semantic similarity and relatedness for eleven languages. Language Resources and Evaluation. 10 indexed citations
8.
Davis, Brian, et al.. (2018). Engineering an Aligned Gold-Standard Corpus of Human to Machine Oriented Controlled Natural Language. ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway). 421–427. 1 indexed citations
9.
Zarrouk, Manel, et al.. (2018). Implicit and Explicit Aspect Extraction in Financial Microblogs. 11 indexed citations
10.
Handschuh, Siegfried, et al.. (2018). WWW'18 Open Challenge. ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway). 1941–1942. 80 indexed citations
11.
Cortis, Keith, et al.. (2017). SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News. ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway). 519–535. 102 indexed citations
12.
Chatzikyriakidis, Stergios, et al.. (2017). Type Theories and Lexical Networks: using Serious Games as the basis for Multi-Sorted Typed Systems. SHILAP Revista de lepidopterología. 5(2). 1 indexed citations
13.
Freitas, André, et al.. (2016). In Or Out? Real-Time Monitoring Of Brexit Sentiment On Twitter. Arrow@dit (Dublin Institute of Technology). 3 indexed citations
14.
Chatzikyriakidis, Stergios, et al.. (2015). Type Theories and Lexical Networks: Using Serious Games as the Basis for Multi-Sorted Typed Systems. SPIRE - Sciences Po Institutional REpository.
15.
Zarrouk, Manel & Mathieu Lafourcade. (2014). Relation Inference in Lexical Networks ... with Refinements. Language Resources and Evaluation. 2995–3000. 1 indexed citations
16.
Zarrouk, Manel & Mathieu Lafourcade. (2014). Inferring Knowledge with Word Refinements in a Crowdsourced Lexical-Semantic Network. International Conference on Computational Linguistics. 365–375. 1 indexed citations
17.
Lafourcade, Mathieu, et al.. (2014). About Inferences in a Crowdsourced Lexical-Semantic Network. 174–182. 8 indexed citations
18.
Zarrouk, Manel, et al.. (2013). Inductive and deductive inferences in a Crowdsourced Lexical-Semantic Network. Recent Advances in Natural Language Processing. 740–746. 2 indexed citations
19.
Zarrouk, Manel, et al.. (2013). Inference and Reconciliation in a Crowdsourced Lexical-Semantic Network. 17(2). 147–159. 5 indexed citations
20.
Zarrouk, Manel, et al.. (2013). Inférences déductives et réconciliation dans un réseau lexico-sémantique. HAL (Le Centre pour la Communication Scientifique Directe). 1 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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