Joseph P. Robinson

795 total citations
22 papers, 377 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 377 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 China. 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 Can Qin 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 362 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joseph P. Robinson United States	11	333	116	31	30	26	22	377
Pedro Tome Spain	10	324 1.0×	377 3.3×	23 0.7×	94 3.1×	20 0.8×	17	497
Shixing Chen United States	7	266 0.8×	54 0.5×	78 2.5×	10 0.3×	9 0.3×	13	316
Andrey Makrushin Germany	10	334 1.0×	248 2.1×	46 1.5×	12 0.4×	7 0.3×	35	385
Naman Kohli United States	12	357 1.1×	439 3.8×	39 1.3×	106 3.5×	5 0.2×	17	548
Soweon Yoon United States	7	173 0.5×	301 2.6×	21 0.7×	71 2.4×	8 0.3×	9	352
David Bolme United States	8	304 0.9×	169 1.5×	22 0.7×	6 0.2×	2 0.1×	16	352
Ulrich Scherhag Germany	11	530 1.6×	360 3.1×	82 2.6×	7 0.2×	12 0.5×	17	579
Youssef Chahir France	9	139 0.4×	91 0.8×	32 1.0×	15 0.5×	3 0.1×	26	203
Siliang Ma China	7	108 0.3×	82 0.7×	19 0.6×	45 1.5×	3 0.1×	16	204

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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20 of 20 papers shown

Robinson, Joseph P., et al.. (2023). Balancing Biases and Preserving Privacy on Balanced Faces in the Wild. IEEE Transactions on Image Processing. 32. 4365–4377. 13 indexed citations

Yin, Yu, Joseph P. Robinson, & Yun Fu. (2022). Multimodal In-bed Pose and Shape Estimation under the Blankets. Proceedings of the 30th ACM International Conference on Multimedia. 2411–2419. 12 indexed citations

Robinson, Joseph P., Can Qin, Ming Shao, et al.. (2021). The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces. 1–7. 3 indexed citations

Robinson, Joseph P., et al.. (2021). DNA-Net: Age and Gender Aware Kin Face Synthesizer. 1–6. 5 indexed citations

Yin, Yu, Joseph P. Robinson, Songyao Jiang, et al.. (2021). SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis. 1609–1617. 4 indexed citations

Robinson, Joseph P., Ming Shao, & Yun Fu. (2021). Survey on the Analysis and Modeling of Visual Kinship: A Decade in the Making. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(8). 1–1. 20 indexed citations

Robinson, Joseph P., Ming Shao, & Yun Fu. (2020). Visual Kinship Recognition: A Decade in the Making. arXiv (Cornell University). 2 indexed citations

Yin, Yu, Songyao Jiang, Joseph P. Robinson, & Yun Fu. (2020). Dual-Attention GAN for Large-Pose Face Frontalization. 249–256. 47 indexed citations

Robinson, Joseph P., Yu Yin, Ming Shao, et al.. (2020). Recognizing Families In the Wild (RFIW): The 4th Edition. arXiv (Cornell University). 857–862. 2 indexed citations

10.

Wang, Lichen, et al.. (2020). EV-Action: Electromyography-Vision Multi-Modal Action Dataset. 160–167. 14 indexed citations

11.

Robinson, Joseph P., Ming Shao, & Yun Fu. (2018). To Recognize Families In the Wild. 1. 2096–2097. 4 indexed citations

12.

Wu, Yue, Zhengming Ding, Hongfu Liu, Joseph P. Robinson, & Yun Fu. (2018). Kinship Classification through Latent Adaptive Subspace. 143–149. 16 indexed citations

13.

Robinson, Joseph P., et al.. (2018). Visual Kinship Recognition of Families in the Wild. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(11). 2624–2637. 77 indexed citations

14.

Robinson, Joseph P., et al.. (2017). RFIW. 1971–1973. 4 indexed citations

15.

Wang, Shuyang, Joseph P. Robinson, & Yun Fu. (2017). Kinship Verification on Families in the Wild with Marginalized Denoising Metric Learning. 216–221. 44 indexed citations

16.

Robinson, Joseph P., et al.. (2017). Recognizing Families In the Wild (RFIW). 5–12. 21 indexed citations

17.

Robinson, Joseph P., Ming Shao, Yue Wu, & Yun Fu. (2016). Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks. arXiv (Cornell University). 39 indexed citations

18.

Robinson, Joseph P. & Yun Fu. (2016). Pre-trained D-CNN models for detecting complex events in unconstrained videos. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9871. 98710O–98710O. 5 indexed citations

19.

Kerimo, Josef, et al.. (2012). Three-photon fluorescence imaging of melanin with a dual-wedge confocal scanning system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8226. 822637–822637. 4 indexed citations

20.

Swedish, Tristan, et al.. (2011). Computational model of optical scattering by elastin in lung. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7904. 79040H–79040H. 6 indexed citations

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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