Roland Memisevic

About

Roland Memisevic is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Roland Memisevic has authored 35 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Roland Memisevic’s work include Generative Adversarial Networks and Image Synthesis (10 papers), Neural Networks and Applications (8 papers) and Human Pose and Action Recognition (8 papers). Roland Memisevic is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (10 papers), Neural Networks and Applications (8 papers) and Human Pose and Action Recognition (8 papers). Roland Memisevic collaborates with scholars based in Canada, Germany and United States. Roland Memisevic's co-authors include Geoffrey E. Hinton, Yoshua Bengio, Sébastien Jean, Kyunghyun Cho, Vincent Michalski, Kishore Konda, Samira Ebrahimi Kahou, Florian Hoppe, Christian Thurau and Ingo Fruend and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Computation and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Roland Memisevic i

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Fields of papers citing papers by Roland Memisevic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Roland Memisevic

Since Specialization

Citations

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