Eric Nalisnick

15 papers and 79 indexed citations i.

About

Eric Nalisnick is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Eric Nalisnick has authored 15 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Eric Nalisnick’s work include Anomaly Detection Techniques and Applications (4 papers), Gaussian Processes and Bayesian Inference (4 papers) and Machine Learning and Algorithms (3 papers). Eric Nalisnick is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Gaussian Processes and Bayesian Inference (4 papers) and Machine Learning and Algorithms (3 papers). Eric Nalisnick collaborates with scholars based in United States, United Kingdom and The Netherlands. Eric Nalisnick's co-authors include Henry S. Baird, Padhraic Smyth, Yee Whye Teh, Balaji Lakshminarayanan, Akihiro Matsukawa, José Miguel Hernández-Lobato, Jonathan Gordon, Robert Pinsler, Dustin Tran and Antske Fokkens and has published in prestigious journals such as Annual Review of Statistics and Its Application, CiteSeer X (The Pennsylvania State University) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Eric Nalisnick i

Fields of papers citing papers by Eric Nalisnick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eric Nalisnick

Since Specialization
Citations

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