Countries citing papers authored by Anders Søgaard
Since
Specialization
Citations
This map shows the geographic impact of Anders Søgaard'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 Anders Søgaard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anders Søgaard more than expected).
This network shows the impact of papers produced by Anders Søgaard. 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 Anders Søgaard. The network helps show where Anders Søgaard may publish in the future.
Co-authorship network of co-authors of Anders Søgaard
This figure shows the co-authorship network connecting the top 25 collaborators of Anders Søgaard.
A scholar is included among the top collaborators of Anders Søgaard 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 Anders Søgaard. Anders Søgaard is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Søgaard, Anders. (2022). Shortcomings of Interpretability Taxonomies for Deep Neural Networks. Research at the University of Copenhagen (University of Copenhagen).1 indexed citations
8.
Barrett, Maria, et al.. (2022). The Sensitivity of Annotator Bias to Task Definitions in Argument Mining. IT University Of Copenhagen (IT University of Copenhagen).3 indexed citations
9.
Hershcovich, Daniel, Stella Frank, Miryam de Lhoneux, et al.. (2022). Challenges and Strategies in Cross-Cultural NLP. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 6997–7013.52 indexed citations
Søgaard, Anders, et al.. (2020). The Reverse Turing Test for Evaluating Interpretability Methods on Unknown Tasks. Research at the University of Copenhagen (University of Copenhagen).1 indexed citations
13.
Barrett, Maria, et al.. (2020). DaNE: A Named Entity Resource for Danish.. Language Resources and Evaluation. 4597–4604.5 indexed citations
14.
Hill, Felix, et al.. (2019). Research at the University of Copenhagen (University of Copenhagen).4 indexed citations
15.
Augenstein, Isabelle, Sebastian Ruder, & Anders Søgaard. (2018). . arXiv (Cornell University).39 indexed citations
16.
Braud, Chloé, Barbara Plank, & Anders Søgaard. (2016). Research at the University of Copenhagen (University of Copenhagen).25 indexed citations
17.
Braud, Chloé, Barbara Plank, & Anders Søgaard. (2016). The 26th International Conference on Computational Linguistics (COLING).11 indexed citations
Søgaard, Anders. (2010). Simple Semi-Supervised Training of Part-Of-Speech Taggers. Meeting of the Association for Computational Linguistics. 205–208.43 indexed citations
20.
Søgaard, Anders. (2008). Range Concatenation Grammars for Translation. International Conference on Computational Linguistics. 103–106.11 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.