Daniel Hewlett

9 papers and 170 indexed citations i.

About

Daniel Hewlett is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Daniel Hewlett has authored 9 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. Recurrent topics in Daniel Hewlett’s work include Multimodal Machine Learning Applications (6 papers), Natural Language Processing Techniques (6 papers) and Topic Modeling (5 papers). Daniel Hewlett is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Natural Language Processing Techniques (6 papers) and Topic Modeling (5 papers). Daniel Hewlett collaborates with scholars based in United States, The Netherlands and Israel. Daniel Hewlett's co-authors include Alexandre Lacoste, Illia Polosukhin, Llion Jones, Eunsol Choi, Jonathan Berant, Jakob Uszkoreit, Matthew Kelcey, David Berthelot, Jay J. Han and Paul R. Cohen and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Meeting of the Association for Computational Linguistics and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Daniel Hewlett i

Fields of papers citing papers by Daniel Hewlett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Hewlett

Since Specialization
Citations

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