Nils Reimers
- Artificial Intelligence top 0.1%
- Information Systems top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Sociology and Political Science top 5%
- Management Science and Operations Research top 2%
- Co-authors
- Iryna GurevychNiklas MuennighoffLoïc MagneKexin WangRainer BurgkartMauricio ReyesPhilippe BüchlerNandan Thakur
- Topics
- Natural Language Processing Techniques (10 papers)Topic Modeling (9 papers)Advanced Text Analysis Techniques (4 papers)
- Journals
- Clinical Orthopaedics and Related ResearchMedical Image AnalysisTransactions of the Association for Computational Linguistics
- Partner nations
- GermanySwitzerlandAustralia
In The Last Decade
Nils Reimers
24 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Artificial Intelligence 4.1k
- Information Systems 1.0k
- Computer Vision and Pattern Recognition 920
- Sociology and Political Science 437
- Management Science and Operations Research 266
Countries citing papers authored by Nils Reimers
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | MTEB: Massive Text Embedding Benchmarkbreakdown → | 121 |
| 3 | 0 | |
| 4 | 34 | |
| 5 | 2 | |
| 6 | 31 | |
| 7 | 58 | |
| 8 | Breaking the Subtopic Barrier in Cross-Document Event Coreference Resolution | 6 |
| 9 | Sentence-BERT: Sentence Embeddings using Siamese BERT-Networksbreakdown → | 5203 |
| 10 | 12 | |
| 11 | Task-Oriented Intrinsic Evaluation of Semantic Textual Similarity | 27 |
| 12 | 2 | |
| 13 | 25 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 34 | |
| 17 | 6 | |
| 18 | GermEval-2014: Nested Named Entity Recognition with Neural Networks | 26 |
| 19 | 13 | |
| 20 | 66 |
About Nils Reimers
Nils Reimers is a scholar working on Orthopedics and Sports Medicine, Oral Surgery and Artificial Intelligence, having authored 27 papers that have together received 5.7k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (4.1k citations), General Social Sciences (159 citations) and Information Systems (1.0k citations). Nils Reimers has collaborated with scholars based in Germany, Switzerland and Australia. Frequent co-authors include Iryna Gurevych, Niklas Muennighoff, Loïc Magne, Kexin Wang, Rainer Burgkart, Mauricio Reyes, Philippe Büchler, Nandan Thakur, Stefan Weber and Miguel Á. González Ballester. Their work appears in journals such as Clinical Orthopaedics and Related Research, Medical Image Analysis and Transactions of the Association for Computational Linguistics.
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.