Emiel Hoogeboom

6 papers and 36 indexed citations i.

About

Emiel Hoogeboom is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Emiel Hoogeboom has authored 6 papers receiving a total of 36 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Emiel Hoogeboom’s work include Generative Adversarial Networks and Image Synthesis (3 papers), Music and Audio Processing (2 papers) and Neural Networks and Applications (1 paper). Emiel Hoogeboom is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Music and Audio Processing (2 papers) and Neural Networks and Applications (1 paper). Emiel Hoogeboom collaborates with scholars based in The Netherlands and Denmark. Emiel Hoogeboom's co-authors include Max Welling, Rianne van den Berg, Didrik Nielsen, Priyank Jaini, Ingmar Posner, Victor García Satorras, Fabian B. Fuchs, Patrick Forré, Jakub M. Tomczak and Ole Winther and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Emiel Hoogeboom i

Fields of papers citing papers by Emiel Hoogeboom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Emiel Hoogeboom

Since Specialization
Citations

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