Gabriel Bender

About

Gabriel Bender is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Gabriel Bender has authored 14 papers receiving a total of 443 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 6 papers in Computer Networks and Communications. Recurrent topics in Gabriel Bender’s work include Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Distributed systems and fault tolerance (4 papers). Gabriel Bender is often cited by papers focused on Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Distributed systems and fault tolerance (4 papers). Gabriel Bender collaborates with scholars based in United States, Switzerland and Australia. Gabriel Bender's co-authors include Quoc V. Le, Pieter-Jan Kindermans, Vijay Vasudevan, Barret Zoph, Hanxiao Liu, Brandon Yang, Jiquan Ngiam, Berkin Akin, Vikas Singh and Mingxing Tan and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM Transactions on Database Systems and IBM Systems Journal.

In The Last Decade

Co-authorship network of co-authors of Gabriel Bender i

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Fields of papers citing papers by Gabriel Bender

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gabriel Bender

Since Specialization

Citations

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