Jan Deriu

541 total citations
23 papers, 264 citations indexed

About

Jan Deriu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Jan Deriu has authored 23 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Management Science and Operations Research. Recurrent topics in Jan Deriu's work include Topic Modeling (18 papers), Natural Language Processing Techniques (11 papers) and Sentiment Analysis and Opinion Mining (7 papers). Jan Deriu is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (11 papers) and Sentiment Analysis and Opinion Mining (7 papers). Jan Deriu collaborates with scholars based in Switzerland, Italy and Germany. Jan Deriu's co-authors include Mark Cieliebak, Valéria De Luca, Martin Jaggi, Aurélien Lucchi, Thomas Hofmann, Aliaksei Severyn, Simon Müller, Peng Yan, Thilo Stadelmann and Martin Weilenmann and has published in prestigious journals such as Proceedings of the VLDB Endowment, Language Resources and Evaluation and Repository for Publications and Research Data (ETH Zurich).

In The Last Decade

Jan Deriu

20 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Deriu Switzerland 7 225 33 15 14 13 23 264
Grégoire Winterstein France 5 245 1.1× 36 1.1× 30 2.0× 5 0.4× 17 1.3× 21 310
Zhendong Dong China 4 291 1.3× 53 1.6× 8 0.5× 8 0.6× 18 1.4× 4 325
Yohei Seki Japan 9 334 1.5× 90 2.7× 22 1.5× 8 0.6× 6 0.5× 39 369
Nobuhiro Kaji Japan 10 428 1.9× 69 2.1× 21 1.4× 16 1.1× 8 0.6× 35 449
Sameer Maskey United States 11 418 1.9× 16 0.5× 10 0.7× 6 0.4× 6 0.5× 27 462
Marc Franco-Salvador Spain 12 314 1.4× 60 1.8× 10 0.7× 15 1.1× 13 1.0× 24 358
Lay-Ki Soon Malaysia 8 149 0.7× 54 1.6× 20 1.3× 28 2.0× 15 1.2× 43 208
Keith Cortis Germany 6 137 0.6× 20 0.6× 22 1.5× 11 0.8× 58 4.5× 10 166
Sophia Yat Mei Lee Hong Kong 13 480 2.1× 71 2.2× 11 0.7× 26 1.9× 34 2.6× 30 521
Patrick Paroubek France 11 333 1.5× 54 1.6× 15 1.0× 12 0.9× 14 1.1× 60 381

Countries citing papers authored by Jan Deriu

Since Specialization
Citations

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

Fields of papers citing papers by Jan Deriu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Deriu

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Deriu. A scholar is included among the top collaborators of Jan Deriu 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 Jan Deriu. Jan Deriu 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.
Deriu, Jan, et al.. (2024). Error-preserving Automatic Speech Recognition of Young English Learners’ Language. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 6444–6454.
2.
Deriu, Jan, et al.. (2023). Dialect Transfer for Swiss German Speech Translation. 15240–15254. 1 indexed citations
3.
Deriu, Jan, et al.. (2023). STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 1763–1772. 6 indexed citations
4.
Deriu, Jan, et al.. (2023). ScienceBenchmark: A Complex Real-World Benchmark for Evaluating Natural Language to SQL Systems. Proceedings of the VLDB Endowment. 17(4). 685–698. 8 indexed citations
5.
Deriu, Jan, et al.. (2023). From Concept to Implementation: The Data-Centric Development Process for AI in Industry. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 73–76. 8 indexed citations
6.
Deriu, Jan, et al.. (2022). On the Effectiveness of Automated Metrics for Text Generation Systems. 1503–1522. 1 indexed citations
7.
Deriu, Jan, et al.. (2022). Probing the Robustness of Trained Metrics for Conversational Dialogue Systems. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 750–761. 4 indexed citations
8.
Deriu, Jan, et al.. (2021). Are We Summarizing the Right Way? A Survey of Dialogue Summarization Data Sets. 107–118. 5 indexed citations
9.
Deriu, Jan, et al.. (2019). Fact-aware abstractive text summarization using a pointer-generator network. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 1 indexed citations
10.
Deriu, Jan, et al.. (2018). SB-CH : a Swiss German corpus with sentiment annotations. Language Resources and Evaluation. 2 indexed citations
11.
Deriu, Jan & Mark Cieliebak. (2018). Syntactic Manipulation for Generating more Diverse and Interesting Texts. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 22–34. 5 indexed citations
12.
Koç, Yusuf, et al.. (2017). Four different ways to build a chatbot about movies. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences).
13.
Deriu, Jan & Mark Cieliebak. (2017). SwissAlps at SemEval-2017 Task 3: Attention-based Convolutional Neural Network for Community Question Answering. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 334–338. 5 indexed citations
14.
Deriu, Jan, et al.. (2017). Potential and Limitations of Cross-Domain Sentiment Classification. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 17–24.
15.
Müller, Simon, et al.. (2017). TopicThunder at SemEval-2017 Task 4: Sentiment Classification Using a Convolutional Neural Network with Distant Supervision. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 766–770. 1 indexed citations
16.
Deriu, Jan & Mark Cieliebak. (2017). End-to-end trainable system for enhancing diversity in natural language generation. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 1 indexed citations
17.
Deriu, Jan, Aurélien Lucchi, Valéria De Luca, et al.. (2017). Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 1045–1052. 80 indexed citations
18.
Deriu, Jan & Mark Cieliebak. (2016). Sentiment Detection using Convolutional Neural Networks with Multi-Task Training and Distant Supervision.. 1 indexed citations
19.
Deriu, Jan, et al.. (2016). SwissCheese at SemEval-2016 Task 4: Sentiment Classification Using an Ensemble of Convolutional Neural Networks with Distant Supervision. Repository for Publications and Research Data (ETH Zurich). 81 indexed citations
20.
Deriu, Jan. (2016). Sentiment Analysis using Deep Convolutional Neural Networks with Distant Supervision. Repository for Publications and Research Data (ETH Zurich). 2 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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