Besnik Fetahu

1.2k total citations
41 papers, 566 citations indexed

About

Besnik Fetahu is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Besnik Fetahu has authored 41 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 17 papers in Information Systems and 9 papers in Computer Science Applications. Recurrent topics in Besnik Fetahu's work include Natural Language Processing Techniques (20 papers), Topic Modeling (15 papers) and Semantic Web and Ontologies (11 papers). Besnik Fetahu is often cited by papers focused on Natural Language Processing Techniques (20 papers), Topic Modeling (15 papers) and Semantic Web and Ontologies (11 papers). Besnik Fetahu collaborates with scholars based in Germany, United States and Italy. Besnik Fetahu's co-authors include Shervin Malmasi, Oleg Rokhlenko, Ujwal Gadiraju, Anjie Fang, Sudipta Kar, Stefan Dietze, Zhiyu Chen, Ricardo Kawase, Davide Taibi and Marco A. Casanova and has published in prestigious journals such as Journal of Medical Internet Research, British Journal of Educational Technology and ACM Transactions on Computer-Human Interaction.

In The Last Decade

Besnik Fetahu

37 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Besnik Fetahu Germany 13 450 110 86 80 60 41 566
Omar F. Zaidan United States 14 1.3k 3.0× 149 1.4× 38 0.4× 157 2.0× 41 0.7× 20 1.4k
Snigdha Chaturvedi United States 14 640 1.4× 74 0.7× 30 0.3× 85 1.1× 15 0.3× 52 802
Jonathan Bragg United States 13 258 0.6× 228 2.1× 85 1.0× 55 0.7× 9 0.1× 29 432
Justin Martineau United States 9 460 1.0× 62 0.6× 44 0.5× 163 2.0× 13 0.2× 17 571
Amal Zouaq Canada 13 359 0.8× 210 1.9× 24 0.3× 153 1.9× 43 0.7× 48 605
Andrés García-Silva Spain 6 586 1.3× 22 0.2× 115 1.3× 224 2.8× 78 1.3× 20 682
Praveen Chandar United States 10 239 0.5× 39 0.4× 79 0.9× 257 3.2× 15 0.3× 33 435
Mücahid Kutlu Türkiye 12 293 0.7× 71 0.6× 43 0.5× 117 1.5× 8 0.1× 44 409
Ricardo Kawase Germany 10 230 0.5× 274 2.5× 66 0.8× 130 1.6× 6 0.1× 38 480
Mahesh Joshi United States 12 334 0.7× 55 0.5× 14 0.2× 70 0.9× 57 0.9× 28 487

Countries citing papers authored by Besnik Fetahu

Since Specialization
Citations

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

Fields of papers citing papers by Besnik Fetahu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Besnik Fetahu

This figure shows the co-authorship network connecting the top 25 collaborators of Besnik Fetahu. A scholar is included among the top collaborators of Besnik Fetahu 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 Besnik Fetahu. Besnik Fetahu 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.
Chen, Zhiyu, et al.. (2024). Identifying High Consideration E-Commerce Search Queries. 563–572.
2.
3.
Fetahu, Besnik, Zhiyu Chen, Oleg Rokhlenko, & Shervin Malmasi. (2023). InstructPTS: Instruction-Tuning LLMs for Product Title Summarization. 663–674. 1 indexed citations
4.
Fetahu, Besnik, Sudipta Kar, Zhiyu Chen, Oleg Rokhlenko, & Shervin Malmasi. (2023). SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2). 2247–2265. 34 indexed citations
5.
Fetahu, Besnik, Zhiyu Chen, Sudipta Kar, Oleg Rokhlenko, & Shervin Malmasi. (2023). MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition. 2027–2051. 32 indexed citations
6.
Fang, Anjie, et al.. (2022). CycleKQR: Unsupervised Bidirectional Keyword-Question Rewriting. 11875–11886. 1 indexed citations
7.
Chen, Zhiyu, Jie Zhao, Anjie Fang, et al.. (2022). Reinforced Question Rewriting for Conversational Question Answering. 357–370. 13 indexed citations
8.
Fetahu, Besnik, Anjie Fang, Oleg Rokhlenko, & Shervin Malmasi. (2022). Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 13 indexed citations
9.
Malmasi, Shervin, Anjie Fang, Besnik Fetahu, Sudipta Kar, & Oleg Rokhlenko. (2022). SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER). 1412–1437. 87 indexed citations
10.
Fang, Anjie, et al.. (2022). CycleNER: An Unsupervised Training Approach for Named Entity Recognition. Proceedings of the ACM Web Conference 2022. 2916–2924. 12 indexed citations
11.
Fetahu, Besnik, et al.. (2022). Distilling Multilingual Transformers into CNNs for Scalable Intent Classification. 429–439. 1 indexed citations
12.
Holtz, Peter, Besnik Fetahu, & Joachim Kimmerle. (2018). Effects of Contributor Experience on the Quality of Health-Related Wikipedia Articles. Journal of Medical Internet Research. 20(5). e171–e171. 9 indexed citations
13.
Fetahu, Besnik, et al.. (2018). Detecting Biased Statements in Wikipedia. 1779–1786. 33 indexed citations
14.
Yu, Ran, Besnik Fetahu, Ujwal Gadiraju, & Stefan Dietze. (2016). A Survey on Challenges in Web Markup Data for Entity Retrieval.. International Semantic Web Conference. 3 indexed citations
15.
Taibi, Davide, et al.. (2015). Exploring TED talks as linked data for education. British Journal of Educational Technology. 46(5). 1092–1096. 24 indexed citations
16.
Taibi, Davide, Giovanni Fulantelli, Stefan Dietze, & Besnik Fetahu. (2015). Towards Analysing the Scope and Coverage of Educational Linked Data on the Web. 705–710. 2 indexed citations
17.
Taibi, Davide, Stefan Dietze, Besnik Fetahu, & Giovanni Fulantelli. (2014). Exploring type-specific topic profiles of datasets: a demo for educational linked data. International Semantic Web Conference. 353–356. 4 indexed citations
18.
Nunes, Bernardo Pereira, Besnik Fetahu, Stefan Dietze, & Marco A. Casanova. (2013). Cite4Me: a semantic search and retrieval web application for scientific publications. International Semantic Web Conference. 25–28. 5 indexed citations
19.
Nunes, Bernardo Pereira, et al.. (2013). Complex matching of RDF datatype properties. Lecture notes in computer science. 8055. 195–208. 1 indexed citations
20.
Nunes, Bernardo Pereira, Stefan Dietze, Marco A. Casanova, et al.. (2013). Combining a co-occurrence-based and a semantic measure for entity linking. Lecture notes in computer science. 7882. 548–562. 17 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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