Didrik Nielsen

5 papers and 35 indexed citations i.

About

Didrik Nielsen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Didrik Nielsen has authored 5 papers receiving a total of 35 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Statistics and Probability. Recurrent topics in Didrik Nielsen’s work include Generative Adversarial Networks and Image Synthesis (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Gaussian Processes and Bayesian Inference (2 papers). Didrik Nielsen is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Gaussian Processes and Bayesian Inference (2 papers). Didrik Nielsen collaborates with scholars based in Denmark, Japan and Germany. Didrik Nielsen's co-authors include Mohammad Emtiyaz Khan, Emiel Hoogeboom, Max Welling, Priyank Jaini, Patrick Forré, Mark Schmidt and Ole Winther and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Didrik Nielsen i

Fields of papers citing papers by Didrik Nielsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Didrik Nielsen

Since Specialization
Citations

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

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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