Nick Erickson

3 papers and 9 indexed citations i.

About

Nick Erickson is a scholar working on Artificial Intelligence, Materials Chemistry and Industrial relations. According to data from OpenAlex, Nick Erickson has authored 3 papers receiving a total of 9 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Materials Chemistry and 0 papers in Industrial relations. Recurrent topics in Nick Erickson’s work include Machine Learning and Data Classification (2 papers), Explainable Artificial Intelligence (XAI) (1 paper) and Topic Modeling (1 paper). Nick Erickson is often cited by papers focused on Machine Learning and Data Classification (2 papers), Explainable Artificial Intelligence (XAI) (1 paper) and Topic Modeling (1 paper). Nick Erickson collaborates with scholars based in United States. Nick Erickson's co-authors include Alexander J. Smola, James Sharpnack, Pratik Chaudhari, Xingjian Shi, Jonas Mueller, Mu Li and Alex Smola and has published in prestigious journals such as Neural Information Processing Systems, International Conference on Machine Learning and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

In The Last Decade

Co-authorship network of co-authors of Nick Erickson i

Fields of papers citing papers by Nick Erickson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nick Erickson

Since Specialization
Citations

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