Jascha Sohl‐Dickstein

64 papers and 2.3k indexed citations i.

About

Jascha Sohl‐Dickstein is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Jascha Sohl‐Dickstein has authored 64 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in Jascha Sohl‐Dickstein’s work include Neural Networks and Applications (16 papers), Gaussian Processes and Bayesian Inference (10 papers) and Machine Learning and Data Classification (10 papers). Jascha Sohl‐Dickstein is often cited by papers focused on Neural Networks and Applications (16 papers), Gaussian Processes and Bayesian Inference (10 papers) and Machine Learning and Data Classification (10 papers). Jascha Sohl‐Dickstein collaborates with scholars based in United States, United Kingdom and Canada. Jascha Sohl‐Dickstein's co-authors include Surya Ganguli, Ben Poole, Jeffrey Pennington, Yasaman Bahri, Luke Metz, David Pfau, J. F. Bell, Laurent Dinh, Samy Bengio and Leonidas Guibas and has published in prestigious journals such as Science, Physical Review Letters and Neuron.

In The Last Decade

Co-authorship network of co-authors of Jascha Sohl‐Dickstein i

Fields of papers citing papers by Jascha Sohl‐Dickstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jascha Sohl‐Dickstein. 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 Jascha Sohl‐Dickstein. The network helps show where Jascha Sohl‐Dickstein may publish in the future.

Countries citing papers authored by Jascha Sohl‐Dickstein

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025