Nils Reimers

12.3k total citations · 2 hit papers
27 papers, 5.7k citations indexed

About

Nils Reimers is a scholar working on Artificial Intelligence, Surgery and Orthopedics and Sports Medicine. According to data from OpenAlex, Nils Reimers has authored 27 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Surgery and 6 papers in Orthopedics and Sports Medicine. Recurrent topics in Nils Reimers's work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Advanced Text Analysis Techniques (4 papers). Nils Reimers is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Advanced Text Analysis Techniques (4 papers). Nils Reimers collaborates with scholars based in Germany, Switzerland and Australia. Nils Reimers's co-authors include Iryna Gurevych, Niklas Muennighoff, Loïc Magne, Kexin Wang, Rainer Burgkart, Mauricio Reyes, Philippe Büchler, Stefan Weber, Miguel Á. González Ballester and Nandan Thakur and has published in prestigious journals such as Clinical Orthopaedics and Related Research, Medical Image Analysis and Transactions of the Association for Computational Linguistics.

In The Last Decade

Nils Reimers

24 papers receiving 5.4k citations

Hit Papers

Sentence-BERT: Sentence E... 2019 2026 2021 2023 2019 2023 1000 2.0k 3.0k 4.0k 5.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nils Reimers Germany 13 4.1k 1.0k 920 437 266 27 5.7k
Édouard Grave Israel 16 5.2k 1.3× 1.0k 1.0× 1.1k 1.2× 377 0.9× 272 1.0× 25 6.7k
Steven Bird Australia 29 4.9k 1.2× 1.2k 1.2× 689 0.7× 553 1.3× 179 0.7× 134 6.8k
Marie‐Francine Moens Belgium 36 3.8k 0.9× 1.1k 1.1× 783 0.9× 348 0.8× 168 0.6× 280 5.2k
Diyi Yang United States 35 4.7k 1.2× 1.1k 1.1× 692 0.8× 837 1.9× 283 1.1× 169 7.0k
Edward Loper United States 6 3.2k 0.8× 966 0.9× 485 0.5× 481 1.1× 154 0.6× 8 4.6k
Alan Ritter United States 28 4.4k 1.1× 880 0.9× 617 0.7× 324 0.7× 211 0.8× 71 5.2k
Minlie Huang China 43 6.3k 1.5× 1.1k 1.0× 891 1.0× 314 0.7× 335 1.3× 205 7.3k
Yoav Goldberg Israel 37 6.8k 1.7× 800 0.8× 1.0k 1.1× 258 0.6× 178 0.7× 133 8.2k
Xiaoyan Zhu China 38 5.1k 1.2× 1.3k 1.3× 669 0.7× 290 0.7× 342 1.3× 171 6.4k
Alexander Gelbukh Mexico 29 4.5k 1.1× 974 0.9× 497 0.5× 503 1.2× 219 0.8× 312 5.7k

Countries citing papers authored by Nils Reimers

Since Specialization
Citations

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

Fields of papers citing papers by Nils Reimers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nils Reimers

This figure shows the co-authorship network connecting the top 25 collaborators of Nils Reimers. A scholar is included among the top collaborators of Nils Reimers 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 Nils Reimers. Nils Reimers 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.
Wang, Kexin, Nils Reimers, & Iryna Gurevych. (2024). DAPR: A Benchmark on Document-Aware Passage Retrieval. TUbilio (Technical University of Darmstadt). 4313–4330.
2.
Muennighoff, Niklas, et al.. (2023). MTEB: Massive Text Embedding Benchmark. 2014–2037. 121 indexed citations breakdown →
3.
Reimers, Nils, et al.. (2023). The development, incidence and treatment trends of trochanteric fractures in Germany: a cohort study. Journal of Orthopaedic Surgery and Research. 18(1). 491–491.
4.
Wang, Kexin, Nandan Thakur, Nils Reimers, & Iryna Gurevych. (2022). GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2345–2360. 34 indexed citations
5.
Ribeiro, Leonardo F. R., et al.. (2022). Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking. 8988–9005. 2 indexed citations
6.
Wang, Kexin, Leonardo F. R. Ribeiro, Jonas Pfeiffer, et al.. (2022). UKP-SQUARE: An Online Platform for Question Answering Research. 9–22. 6 indexed citations
7.
Wang, Kexin, Nils Reimers, & Iryna Gurevych. (2021). TSDAE: Using Transformer-based Sequential Denoising Auto-Encoderfor Unsupervised Sentence Embedding Learning. 671–688. 58 indexed citations
8.
Reimers, Nils, et al.. (2020). Breaking the Subtopic Barrier in Cross-Document Event Coreference Resolution. TUbilio (Technical University of Darmstadt). 23–29. 6 indexed citations
9.
Reimers, Nils & Iryna Gurevych. (2019). Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. 3980–3990. 5203 indexed citations breakdown →
10.
Reimers, Nils, et al.. (2018). Event Time Extraction with a Decision Tree of Neural Classifiers. Transactions of the Association for Computational Linguistics. 6. 77–89. 12 indexed citations
11.
Reimers, Nils, et al.. (2016). Task-Oriented Intrinsic Evaluation of Semantic Textual Similarity. TUbilio (Technical University of Darmstadt). 87–96. 27 indexed citations
12.
Reimers, Nils, et al.. (2016). Temporal Anchoring of Events for the TimeBank Corpus. 2195–2204. 25 indexed citations
13.
Kienast, B., et al.. (2016). Biomechanical evaluation of novel ultrasound-activated bioresorbable pins for the treatment of osteochondral fractures compared to established methods. Biomedizinische Technik/Biomedical Engineering. 62(4). 365–373. 2 indexed citations
14.
Neumann, H., Stefan Breer, Nils Reimers, et al.. (2015). Osteosynthesis-screw augmentation by ultrasound-activated biopolymer - an ovine in vivo study assessing biocompatibility and bone-to-implant contact. Journal of Orthopaedic Surgery and Research. 10(1). 18–18. 1 indexed citations
15.
Reimers, Nils, et al.. (2014). Ultrasonically Assisted Anchoring of Biodegradable Implants for Chevron Osteotomies – Clinical Evaluation of a Novel Fixation Method. The Open Orthopaedics Journal. 8(1). 85–92. 6 indexed citations
16.
Reimers, Nils, et al.. (2014). GermEval-2014: Nested Named Entity Recognition with Neural Networks. TUbilio (Technical University of Darmstadt). 26 indexed citations
17.
Marintschev, Ivan, et al.. (2014). Sex-specific Differences of the Infraacetabular Corridor: A Biomorphometric CT-based Analysis on a Database of 523 Pelves. Clinical Orthopaedics and Related Research. 473(1). 361–369. 34 indexed citations
19.
Schulz, Arndt‐Peter, Nils Reimers, Michel B. Vallotton, et al.. (2012). Evidence Based Development of a Novel Lateral Fibula Plate (VariAx Fibula) Using a Real CT Bone Data Based Optimization Process During Device Development. The Open Orthopaedics Journal. 6(1). 1–7. 13 indexed citations
20.
Weber, Stefan, et al.. (2010). Optimisation of orthopaedic implant design using statistical shape space analysis based on level sets. Medical Image Analysis. 14(3). 265–275. 66 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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