Nal Kalchbrenner

17 papers and 11.6k indexed citations i.

About

Nal Kalchbrenner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Developmental and Educational Psychology. According to data from OpenAlex, Nal Kalchbrenner has authored 17 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Developmental and Educational Psychology. Recurrent topics in Nal Kalchbrenner’s work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (3 papers). Nal Kalchbrenner is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (3 papers). Nal Kalchbrenner collaborates with scholars based in United States, United Kingdom and Iran. Nal Kalchbrenner's co-authors include Phil Blunsom, Edward Grefenstette, Koray Kavukcuoglu, Sander Dieleman, Laurent Sifre, Aja Huang, David Silver, Ilya Sutskever, Chris J. Maddison and Timothy Lillicrap and has published in prestigious journals such as Nature, Nature Communications and Proceedings of the IEEE.

In The Last Decade

Co-authorship network of co-authors of Nal Kalchbrenner i

Fields of papers citing papers by Nal Kalchbrenner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nal Kalchbrenner

Since Specialization
Citations

This map shows the geographic impact of Nal Kalchbrenner'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 Nal Kalchbrenner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nal Kalchbrenner 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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2025