Joseph P. Robinson

41 total papers · 792 total citations
22 papers, 375 citations indexed

About

Joseph P. Robinson is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Joseph P. Robinson has authored 22 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 3 papers in Artificial Intelligence. Recurrent topics in Joseph P. Robinson's work include Face recognition and analysis (17 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Biometric Identification and Security (4 papers). Joseph P. Robinson is often cited by papers focused on Face recognition and analysis (17 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Biometric Identification and Security (4 papers). Joseph P. Robinson collaborates with scholars based in United States, Mexico and Bangladesh. Joseph P. Robinson's co-authors include Yun Fu, Ming Shao, Yue Wu, Yu Yin, Hongfu Liu, Shuyang Wang, Yun Fu, Songyao Jiang, Yulun Zhang and Handong Zhao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Multimedia.

In The Last Decade

Joseph P. Robinson

22 papers receiving 360 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Joseph P. Robinson 331 114 31 30 26 22 375
Elhocine Boutellaa 270 0.8× 110 1.0× 29 0.9× 12 0.4× 6 0.2× 34 335
Enrique Ortiz 295 0.9× 90 0.8× 83 2.7× 9 0.3× 9 0.3× 24 405
Gaurav Jaswal 226 0.7× 247 2.2× 23 0.7× 54 1.8× 13 0.5× 35 413
Ordway Hilton 217 0.7× 15 0.1× 57 1.8× 9 0.3× 51 2.0× 53 389
Andrey Makrushin 334 1.0× 247 2.2× 45 1.5× 12 0.4× 7 0.3× 35 384
Sunpreet S. Arora 161 0.5× 335 2.9× 84 2.7× 83 2.8× 7 0.3× 21 443
Sungjoo Suh 287 0.9× 118 1.0× 24 0.8× 2 0.1× 9 0.3× 24 353
Manvjeet Kaur 128 0.4× 174 1.5× 19 0.6× 28 0.9× 6 0.2× 26 342
Maneet Singh 312 0.9× 194 1.7× 56 1.8× 8 0.3× 2 0.1× 26 414
Soweon Yoon 174 0.5× 302 2.6× 21 0.7× 71 2.4× 8 0.3× 9 355

Countries citing papers authored by Joseph P. Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Joseph P. Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph P. Robinson

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph P. Robinson. A scholar is included among the top collaborators of Joseph P. Robinson 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 P. Robinson. Joseph P. Robinson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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