Marcin Moczulski

About

Marcin Moczulski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Marcin Moczulski has authored 6 papers receiving a total of 44 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Mechanics. Recurrent topics in Marcin Moczulski’s work include Stochastic Gradient Optimization Techniques (2 papers), Sparse and Compressive Sensing Techniques (2 papers) and Reinforcement Learning in Robotics (2 papers). Marcin Moczulski is often cited by papers focused on Stochastic Gradient Optimization Techniques (2 papers), Sparse and Compressive Sensing Techniques (2 papers) and Reinforcement Learning in Robotics (2 papers). Marcin Moczulski collaborates with scholars based in Canada, United Kingdom and Italy. Marcin Moczulski's co-authors include Misha Denil, Nando de Freitas, Yoshua Bengio, Çağlar Gülçehre, Mohammad Norouzi, Jose Sotelo, Yijie Guo, Junhyuk Oh, Jongwook Choi and Honglak Lee and has published in prestigious journals such as arXiv (Cornell University), International Conference on Learning Representations and 2022 International Joint Conference on Neural Networks (IJCNN).

In The Last Decade

Co-authorship network of co-authors of Marcin Moczulski i

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Fields of papers citing papers by Marcin Moczulski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marcin Moczulski

Since Specialization

Citations

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