Pontus Stenetorp

6.6k total citations · 4 hit papers
49 papers, 3.4k citations indexed

About

Pontus Stenetorp is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pontus Stenetorp has authored 49 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 10 papers in Molecular Biology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pontus Stenetorp's work include Topic Modeling (31 papers), Natural Language Processing Techniques (30 papers) and Biomedical Text Mining and Ontologies (10 papers). Pontus Stenetorp is often cited by papers focused on Topic Modeling (31 papers), Natural Language Processing Techniques (30 papers) and Biomedical Text Mining and Ontologies (10 papers). Pontus Stenetorp collaborates with scholars based in United Kingdom, Japan and United States. Pontus Stenetorp's co-authors include Sebastian Riedel, Pasquale Minervini, Tim Dettmers, Sampo Pyysalo, Jun’ichi Tsujii, Goran Topić, Tomoko Ohta, Sophia Ananiadou, Johannes Welbl and Max Bartolo and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Journal of Biomedical Semantics and Research Explorer (The University of Manchester).

In The Last Decade

Pontus Stenetorp

46 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Convolutional 2D Knowledge Graph Embeddings

2018 1.4k citations Pasquale Minervini, Pontus Stenetorp et al. profile →
brat: a Web-based Tool for NLP-Assisted Text Annotation

2012 588 citations Pontus Stenetorp, Sampo Pyysalo et al. Conference of the European Chapter of the Association for Computational Linguistics profile →
Convolutional 2D Knowledge Graph Embeddings

2017 325 citations Pasquale Minervini, Pontus Stenetorp et al. Zenodo (CERN European Organization for Nuclear Research) profile →
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

2022 248 citations Yao Lu, Max Bartolo et al. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pontus Stenetorp United Kingdom	18	3.0k	509	426	407	339	49	3.4k
Maximilian Nickel United States	12	2.1k 0.7×	302 0.6×	300 0.7×	470 1.2×	325 1.0×	21	2.4k
Jianwen Zhang China	12	2.5k 0.8×	388 0.8×	227 0.5×	496 1.2×	515 1.5×	36	2.8k
Heng Ji United States	32	2.9k 1.0×	546 1.1×	271 0.6×	356 0.9×	454 1.3×	186	3.5k
Jamie Taylor	2	2.6k 0.8×	344 0.7×	196 0.5×	550 1.4×	500 1.5×	3	2.8k
Colin Evans United States	4	2.7k 0.9×	351 0.7×	209 0.5×	560 1.4×	537 1.6×	4	2.9k
Shizhu He China	12	2.0k 0.7×	235 0.5×	168 0.4×	389 1.0×	421 1.2×	28	2.2k
Rion Snow United States	10	3.3k 1.1×	313 0.6×	365 0.9×	398 1.0×	624 1.8×	10	3.9k
Muhao Chen United States	22	1.7k 0.6×	223 0.4×	354 0.8×	594 1.5×	203 0.6×	116	2.1k
Antoine Bordes Israel	16	3.1k 1.0×	812 1.6×	157 0.4×	222 0.5×	442 1.3×	23	3.3k

Countries citing papers authored by Pontus Stenetorp

Since Specialization

Citations

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

Fields of papers citing papers by Pontus Stenetorp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pontus Stenetorp

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

He, Xuanli, Jun Wang, Qiongkai Xu, et al.. (2025). TUBA: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning. 16504–16544. 2 indexed citations

Ogueji, Kelechi, et al.. (2025). AfroBench: How Good are Large Language Models on African Languages?. 19048–19095.

Sánchez, Eduardo, Pierre Andrews, Pontus Stenetorp, Mikel Artetxe, & Marta R. Costa‐jussà. (2024). Gender-specific Machine Translation with Large Language Models. 148–158. 2 indexed citations

He, Xuanli, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, & Pontus Stenetorp. (2024). Using Natural Language Explanations to Improve Robustness of In-context Learning. 13477–13499. 2 indexed citations

Fuchs, Norbert E., et al.. (2024). Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models. 9647–9665. 1 indexed citations

Stenetorp, Pontus, et al.. (2024). Quantifying Generative Media Bias with a Corpus of Real-world and Generated News Articles. 4420–4445. 1 indexed citations

Wu, Yuxiang, Yu Zhao, Baotian Hu, et al.. (2022). An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks. 5184–5196. 16 indexed citations

Lu, Yao, Max Bartolo, Alastair Moore, Sebastian Riedel, & Pontus Stenetorp. (2022). Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 8086–8098. 248 indexed citations breakdown →

Bartolo, Max, Tristan Thrush, Robin Jia, et al.. (2021). Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation. arXiv (Cornell University). 43 indexed citations

10.

Bartolo, Max, et al.. (2020). Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension. Empirical Methods in Natural Language Processing. 1 indexed citations

11.

Stenetorp, Pontus, et al.. (2019). Towards machine-assisted meta-studies: the Hubble constant. Monthly Notices of the Royal Astronomical Society. 492(3). 3217–3228. 4 indexed citations

12.

Stenetorp, Pontus, et al.. (2018). Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection. UCL Discovery (University College London). 37 indexed citations

13.

Welbl, Johannes, Pontus Stenetorp, & Sebastian Riedel. (2018). QAngaroo (MedHop + WikiHop) - Constructing Datasets for Multi-hop Reading Comprehension Across Documents. Zenodo (CERN European Organization for Nuclear Research). 216 indexed citations

14.

Neumann, Mark E, Pontus Stenetorp, & Sebastian Riedel. (2016). Learning to Reason with Adaptive Computation. UCL Discovery (University College London). 1 indexed citations

15.

Stenetorp, Pontus, Sampo Pyysalo, Sophia Ananiadou, & Jun’ichi Tsujii. (2014). Generalising semantic category disambiguation with large lexical resources for fun and profit. Journal of Biomedical Semantics. 5(1). 26–26. 1 indexed citations

16.

Stenetorp, Pontus, Akiko Aizawa, Sampo Pyysalo, Sophia Ananiadou, & Goran Topić. (2012). Normalisation with the BRAT rapid annotation tool. 87–90. 3 indexed citations

17.

Stenetorp, Pontus, Sampo Pyysalo, Goran Topić, et al.. (2012). brat: a Web-based Tool for NLP-Assisted Text Annotation. Conference of the European Chapter of the Association for Computational Linguistics. 25(8). 102–107. 588 indexed citations breakdown →

18.

Stenetorp, Pontus, Goran Topić, Sampo Pyysalo, et al.. (2011). BioNLP Shared Task 2011: Supporting Resources. Meeting of the Association for Computational Linguistics. 112–103. 37 indexed citations

19.

Stenetorp, Pontus, Sampo Pyysalo, & Jun’ichi Tsujii. (2011). SimSem: Fast Approximate String Matching in Relation to Semantic Category Disambiguation. Meeting of the Association for Computational Linguistics. 136–145. 4 indexed citations

20.

Stenetorp, Pontus, Sampo Pyysalo, Sophia Ananiadou, & J Tsujii. (2011). Almost Total Recall: Semantic Category Disambiguation Using Large Lexical Resources and Approximate String Matching. Research Explorer (The University of Manchester). 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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