Nate Veldt

18 papers and 184 indexed citations i.

About

Nate Veldt is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computational Theory and Mathematics. According to data from OpenAlex, Nate Veldt has authored 18 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 12 papers in Statistical and Nonlinear Physics and 7 papers in Computational Theory and Mathematics. Recurrent topics in Nate Veldt’s work include Complex Network Analysis Techniques (12 papers), Advanced Clustering Algorithms Research (8 papers) and Advanced Graph Neural Networks (7 papers). Nate Veldt is often cited by papers focused on Complex Network Analysis Techniques (12 papers), Advanced Clustering Algorithms Research (8 papers) and Advanced Graph Neural Networks (7 papers). Nate Veldt collaborates with scholars based in United States and Australia. Nate Veldt's co-authors include Austin R. Benson, Philip S. Chodrow, Jon Kleinberg, David F. Gleich, Anthony Wirth, Meng Liu, Li Pan, Michael W. Mahoney, James Saunderson and Blair D. Sullivan and has published in prestigious journals such as Science Advances, SIAM Review and Minerva Access (University of Melbourne).

In The Last Decade

Co-authorship network of co-authors of Nate Veldt i

Fields of papers citing papers by Nate Veldt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nate Veldt

Since Specialization
Citations

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