Geoff Hulten

About

Geoff Hulten is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Geoff Hulten has authored 7 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Signal Processing and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Geoff Hulten’s work include Time Series Analysis and Forecasting (2 papers), Bayesian Modeling and Causal Inference (2 papers) and Gaze Tracking and Assistive Technology (1 paper). Geoff Hulten is often cited by papers focused on Time Series Analysis and Forecasting (2 papers), Bayesian Modeling and Causal Inference (2 papers) and Gaze Tracking and Assistive Technology (1 paper). Geoff Hulten collaborates with scholars based in United States. Geoff Hulten's co-authors include Pedro Domingos, Fang Yu, Rina Panigrahy‎, Ivan Osipkov, Yinglian Xie, Kannan Achan, Zhengyou Zhang, Zicheng Liu, Javier Hernandez and David Heckerman and has published in prestigious journals such as ACM SIGCOMM Computer Communication Review, Journal of Computational and Graphical Statistics and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Geoff Hulten i

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Fields of papers citing papers by Geoff Hulten

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Geoff Hulten

Since Specialization

Citations

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