Nathan Halko

2 papers and 2.2k indexed citations i.

About

Nathan Halko is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nathan Halko has authored 2 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computational Mechanics and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Nathan Halko’s work include Sparse and Compressive Sensing Techniques (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Tensor decomposition and applications (1 paper). Nathan Halko is often cited by papers focused on Sparse and Compressive Sensing Techniques (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Tensor decomposition and applications (1 paper). Nathan Halko collaborates with scholars based in United States. Nathan Halko's co-authors include Per‐Gunnar Martinsson, Joel A. Tropp, Yoel Shkolnisky and Mark Tygert and has published in prestigious journals such as SIAM Review and SIAM Journal on Scientific Computing.

In The Last Decade

Co-authorship network of co-authors of Nathan Halko i

Fields of papers citing papers by Nathan Halko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nathan Halko

Since Specialization
Citations

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