Orphée De Clercq

107 total papers · 2.4k total citations
61 papers, 1.3k citations indexed

About

Orphée De Clercq is a scholar working on Artificial Intelligence, Language and Linguistics and Experimental and Cognitive Psychology. According to data from OpenAlex, Orphée De Clercq has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 6 papers in Language and Linguistics and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Orphée De Clercq's work include Topic Modeling (36 papers), Natural Language Processing Techniques (30 papers) and Sentiment Analysis and Opinion Mining (20 papers). Orphée De Clercq is often cited by papers focused on Topic Modeling (36 papers), Natural Language Processing Techniques (30 papers) and Sentiment Analysis and Opinion Mining (20 papers). Orphée De Clercq collaborates with scholars based in Belgium, Netherlands and Germany. Orphée De Clercq's co-authors include Véronique Hoste, Mohammad AL-Smadi, Gülşen Eryiğit, Haris Papageorgiou, Suresh Manandhar, Xavier Tannier, Dimitrios Galanis, Salud María Jiménez-Zafra, Núria Bel and Evgeny Kotelnikov and has published in prestigious journals such as Expert Systems with Applications, Computational Linguistics and Electronics.

In The Last Decade

Orphée De Clercq

59 papers receiving 1.2k citations

Hit Papers

SemEval-2016 Task 5: Aspe... 2016 2026 2019 2022 2016 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Orphée De Clercq 1.2k 117 87 73 59 61 1.3k
Rebecca Bruce 1.3k 1.1× 223 1.9× 83 1.0× 58 0.8× 31 0.5× 43 1.5k
Sara Tonelli 1.0k 0.9× 156 1.3× 51 0.6× 65 0.9× 44 0.7× 107 1.2k
Jan Šnajder 1.0k 0.9× 217 1.9× 69 0.8× 37 0.5× 80 1.4× 110 1.2k
Stan Śzpakowicz 1.3k 1.1× 206 1.8× 76 0.9× 83 1.1× 73 1.2× 85 1.5k
Thierry Declerck 1.0k 0.8× 144 1.2× 65 0.7× 139 1.9× 38 0.6× 119 1.3k
Jennifer Foster 1.1k 0.9× 133 1.1× 90 1.0× 49 0.7× 61 1.0× 107 1.5k
John Carroll 1.1k 0.9× 88 0.8× 80 0.9× 91 1.2× 25 0.4× 76 1.4k
Mark Dras 1.0k 0.9× 76 0.6× 23 0.3× 97 1.3× 51 0.9× 123 1.2k
Magnus Sahlgren 959 0.8× 132 1.1× 42 0.5× 53 0.7× 30 0.5× 68 1.2k
Núria Bel 1.2k 1.0× 151 1.3× 83 1.0× 112 1.5× 20 0.3× 71 1.3k

Countries citing papers authored by Orphée De Clercq

Since Specialization
Citations

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

Fields of papers citing papers by Orphée De Clercq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Orphée De Clercq. 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 Orphée De Clercq. The network helps show where Orphée De Clercq may publish in the future.

Co-authorship network of co-authors of Orphée De Clercq

This figure shows the co-authorship network connecting the top 25 collaborators of Orphée De Clercq. A scholar is included among the top collaborators of Orphée De Clercq 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 Orphée De Clercq. Orphée De Clercq 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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