Joseph Redmon

33.7k total citations · 2 hit papers
3 papers, 13.6k citations indexed

About

Joseph Redmon is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Neurology. According to data from OpenAlex, Joseph Redmon has authored 3 papers receiving a total of 13.6k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Control and Systems Engineering and 1 paper in Neurology. Recurrent topics in Joseph Redmon's work include Advanced Neural Network Applications (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Robot Manipulation and Learning (1 paper). Joseph Redmon is often cited by papers focused on Advanced Neural Network Applications (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Robot Manipulation and Learning (1 paper). Joseph Redmon collaborates with scholars based in United States. Joseph Redmon's co-authors include Ali Farhadi, Anelia Angelova, Mohammad Rastegari and Vicente Ordóñez and has published in prestigious journals such as Communications of the ACM.

In The Last Decade

Joseph Redmon

3 papers receiving 13.1k citations

Hit Papers

YOLO9000: Better, Faster, Stronger 2015 2026 2018 2022 2017 2015 4.0k 8.0k 12.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joseph Redmon United States 3 9.4k 2.1k 2.1k 1.7k 1.6k 3 13.6k
Hong-Yuan Mark Liao Taiwan 26 8.8k 0.9× 1.6k 0.7× 1.9k 0.9× 1.6k 1.0× 1.7k 1.1× 135 13.8k
Ali Farhadi United States 29 12.8k 1.4× 4.8k 2.2× 2.2k 1.0× 1.8k 1.1× 1.6k 1.0× 98 17.8k
Chien-Yao Wang Taiwan 12 6.4k 0.7× 1.1k 0.5× 1.8k 0.8× 1.2k 0.7× 1.7k 1.1× 43 11.0k
Hengshuang Zhao Hong Kong 28 11.1k 1.2× 4.3k 2.0× 1.5k 0.7× 2.6k 1.6× 858 0.6× 66 18.5k
Mark Everingham United Kingdom 22 16.1k 1.7× 5.8k 2.7× 2.0k 0.9× 1.9k 1.1× 1.0k 0.6× 35 20.3k
Jifeng Dai China 26 9.2k 1.0× 2.7k 1.3× 1.3k 0.6× 1.5k 0.9× 723 0.5× 53 12.0k
Ping Luo China 60 15.8k 1.7× 5.0k 2.3× 1.2k 0.6× 1.8k 1.1× 780 0.5× 237 21.6k
Evan Shelhamer United States 8 10.7k 1.1× 4.4k 2.1× 1.1k 0.5× 2.1k 1.3× 655 0.4× 12 17.3k
Mohammed Bennamoun Australia 58 8.9k 0.9× 3.0k 1.4× 2.5k 1.2× 1.2k 0.7× 640 0.4× 476 15.8k
Qi Tian China 64 15.6k 1.7× 6.3k 2.9× 1.9k 0.9× 1.8k 1.1× 927 0.6× 432 21.3k

Countries citing papers authored by Joseph Redmon

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Redmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Redmon

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Redmon. A scholar is included among the top collaborators of Joseph Redmon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joseph Redmon. Joseph Redmon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
Rastegari, Mohammad, Vicente Ordóñez, Joseph Redmon, & Ali Farhadi. (2020). Enabling AI at the edge with XNOR-networks. Communications of the ACM. 63(12). 83–90. 7 indexed citations
2.
Redmon, Joseph & Ali Farhadi. (2017). YOLO9000: Better, Faster, Stronger. 6517–6525. 13002 indexed citations breakdown →
3.
Redmon, Joseph & Anelia Angelova. (2015). Real-time grasp detection using convolutional neural networks. 1316–1322. 571 indexed citations breakdown →

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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