Praful Gupta

719 total citations
15 papers, 469 citations indexed

About

Praful Gupta is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biomedical Engineering. According to data from OpenAlex, Praful Gupta has authored 15 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 3 papers in Biomedical Engineering. Recurrent topics in Praful Gupta's work include Image and Video Quality Assessment (8 papers), Image and Signal Denoising Methods (6 papers) and Advanced Image Fusion Techniques (5 papers). Praful Gupta is often cited by papers focused on Image and Video Quality Assessment (8 papers), Image and Signal Denoising Methods (6 papers) and Advanced Image Fusion Techniques (5 papers). Praful Gupta collaborates with scholars based in United States, India and Israel. Praful Gupta's co-authors include Alan C. Bovik, Christos G. Bampis, Deepti Ghadiyaram, Zhenqiang Ying, Dhruv Mahajan, Rajiv Soundararajan, Nicholas G. Paulter, Zhan Ma, Qiu Shen and Xun Cao and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Signal Processing Letters and Value in Health.

In The Last Decade

Praful Gupta

14 papers receiving 461 citations

Peers

Praful Gupta

CVPR

MT

SP

AMPO

RNMI

Jiheng Wang Canada

Shaolin Su China

Domonkos Varga Hungary

S. Alireza Golestaneh United States

Jingtao Xu China

Haiqing Du China

Balu Adsumilli United States

Qiqin Dai United States

Benny Lövström Sweden

Tianhe Wu United States

Jiheng Wang Canada

Praful Gupta

410 ×1.0

CVPR

234 ×1.2

MT

49 ×1.1

SP

20 ×1.0

AMPO

28 ×1.5

RNMI

Citations per year, relative to Praful Gupta Praful Gupta (= 1×) peers Jiheng Wang

Countries citing papers authored by Praful Gupta

Since Specialization

Citations

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

Fields of papers citing papers by Praful Gupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Praful Gupta

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

All Works

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15 of 15 papers shown

1.

Ray, Pallab, et al.. (2024). MT37 FDA-Approved Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices: An Updated Landscape from 1995 to 2023. Value in Health. 27(6). S288–S288. 1 indexed citations

2.

Saxena, Amit, et al.. (2022). High Performance Computing for Wireless Sensor Network Node. 760. 1–5. 1 indexed citations

3.

Gupta, Praful, et al.. (2022). Assessing the impact of image quality on object-detection algorithms. Electronic Imaging. 34(9). 334–1. 2 indexed citations

4.

Gupta, Praful, et al.. (2021). Study of Bomb Technician Threat Identification Performance on Degraded X-ray Images. 4(1). 10502–1. 2 indexed citations

5.

Hodges, James A., et al.. (2021). Forensic Analysis of Memetic Image Propagation: Introducing the SMOC BRISQUEt Method. Proceedings of the Association for Information Science and Technology. 58(1). 196–205.

6.

Ying, Zhenqiang, et al.. (2020). From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality. 3572–3582. 221 indexed citations

7.

Bampis, Christos G., et al.. (2019). Predicting the Quality of Images Compressed After Distortion in Two Steps. IEEE Transactions on Image Processing. 28(12). 5757–5770. 35 indexed citations

8.

Gupta, Praful, et al.. (2019). Predicting Detection Performance on Security X-Ray Images as a Function of Image Quality. IEEE Transactions on Image Processing. 28(7). 3328–3342. 15 indexed citations

9.

Gupta, Praful, et al.. (2018). Studying the Statistics of Natural X-ray Pictures. Journal of Testing and Evaluation. 46(4). 1478–1488. 9 indexed citations

10.

Gupta, Praful, et al.. (2018). Natural Scene Statistics for Noise Estimation. 85–88. 13 indexed citations

11.

Huang, Mingkai, Qiu Shen, Zhan Ma, et al.. (2018). Modeling the Perceptual Quality of Immersive Images Rendered on Head Mounted Displays: Resolution and Compression. IEEE Transactions on Image Processing. 27(12). 6039–6050. 37 indexed citations

12.

Gupta, Praful, Anush K. Moorthy, Rajiv Soundararajan, & Alan C. Bovik. (2018). Generalized Gaussian scale mixtures: A model for wavelet coefficients of natural images. Signal Processing Image Communication. 66. 87–94. 15 indexed citations

13.

Bampis, Christos G., et al.. (2018). Predicting the quality of images compressed after distortion in two steps. 48. 20–20. 4 indexed citations

14.

Gupta, Praful, et al.. (2018). Multivariate Statistical Approach to Image Quality Tasks. Journal of Imaging. 4(10). 117–117. 4 indexed citations

15.

Bampis, Christos G., Praful Gupta, Rajiv Soundararajan, & Alan C. Bovik. (2017). SpEED-QA: Spatial Efficient Entropic Differencing for Image and Video Quality. IEEE Signal Processing Letters. 24(9). 1333–1337. 110 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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