Justin Joseph

685 total citations
36 papers, 472 citations indexed

About

Justin Joseph is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biomedical Engineering. According to data from OpenAlex, Justin Joseph has authored 36 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 12 papers in Media Technology and 5 papers in Biomedical Engineering. Recurrent topics in Justin Joseph's work include Image and Signal Denoising Methods (17 papers), Advanced Image Fusion Techniques (11 papers) and Advanced Image Processing Techniques (10 papers). Justin Joseph is often cited by papers focused on Image and Signal Denoising Methods (17 papers), Advanced Image Fusion Techniques (11 papers) and Advanced Image Processing Techniques (10 papers). Justin Joseph collaborates with scholars based in India, United States and Australia. Justin Joseph's co-authors include R. Periyasamy, J. Sivaraman, Damodar Reddy Edla, Vipin Venugopal, Malaya Kumar Nath, Venkatanareshbabu Kuppili, Woo Soo Kim, Tahmina Akter, Dinesh Goyal and Manish Kumar and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Neuroscience.

In The Last Decade

Justin Joseph

35 papers receiving 448 citations

Peers

Justin Joseph

CVPR

RNMI

NEURO

Anas M. Ali Saudi Arabia

Sergey Kosov Germany

Jeremiah Neubert United States

Tianbao Zhou China

Jieru Mei United States

Shakhnoza Muksimova South Korea

Jachih Fu Taiwan

Abdolvahab Ehsani Rad Malaysia

Fátima N. S. de Medeiros Brazil

Anas M. Ali Saudi Arabia

Justin Joseph

165 ×0.6

CVPR

89 ×0.7

90 ×1.2

53 ×0.9

RNMI

41 ×0.9

NEURO

Citations per year, relative to Justin Joseph Justin Joseph (= 1×) peers Anas M. Ali

Countries citing papers authored by Justin Joseph

Since Specialization

Citations

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

Fields of papers citing papers by Justin Joseph

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Joseph

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Joseph. A scholar is included among the top collaborators of Justin Joseph 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 Justin Joseph. Justin Joseph 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

Joseph, Justin, et al.. (2025). Complexity of olfactory-evoked EEG as an evidence-based marker of Alzheimer’s disease. Neuroscience. 594. 224–239.

Venugopal, Vipin, et al.. (2024). A deep learning-based illumination transform for devignetting photographs of dermatological lesions. Image and Vision Computing. 142. 104909–104909. 8 indexed citations

Aktürk, Tuba, et al.. (2024). EEG biomarkers in Alzheimer’s and prodromal Alzheimer’s: a comprehensive analysis of spectral and connectivity features. Alzheimer s Research & Therapy. 16(1). 236–236. 10 indexed citations

Joseph, Justin, et al.. (2024). Heart Rate and its Variability From Short-Term ECG Recordings as Potential Biomarkers for Detecting Mild Cognitive Impairment. American Journal of Alzheimer s Disease & Other Dementias®. 39. 260668759–260668759. 2 indexed citations

Adaikkan, Chinnakkaruppan, Justin Joseph, Georgios Foustoukos, et al.. (2024). Silencing CA1 pyramidal cells output reveals the role of feedback inhibition in hippocampal oscillations. Nature Communications. 15(1). 2190–2190. 7 indexed citations

Joseph, Justin, et al.. (2023). Influence of Mechanical Properties on the Characteristics of Jute/Kevlar-based Epoxy Hybrid Composites. International Journal of Vehicle Structures and Systems. 15(2). 1 indexed citations

Edla, Damodar Reddy, et al.. (2022). A Noise-robust and Overshoot-free Alternative to Unsharp Masking for Enhancing the Acuity of MR Images. Journal of Digital Imaging. 35(4). 1041–1060. 4 indexed citations

Venugopal, Vipin, et al.. (2022). DTP-Net: A convolutional neural network model to predict threshold for localizing the lesions on dermatological macro-images. Computers in Biology and Medicine. 148. 105852–105852. 30 indexed citations

Edla, Damodar Reddy, et al.. (2022). A customized acutance metric for quality control applications in MRI. Medical & Biological Engineering & Computing. 60(5). 1511–1525. 1 indexed citations

10.

Venugopal, Vipin, et al.. (2022). An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesions. Computer Methods and Programs in Biomedicine. 222. 106935–106935. 33 indexed citations

11.

Edla, Damodar Reddy, et al.. (2021). An objective measure for assessing the quality of contrast enhancement on magnetic resonance images. Journal of King Saud University - Computer and Information Sciences. 34(10). 9732–9744. 6 indexed citations

12.

Andrianopoulos, Alex, et al.. (2019). In Vitro Susceptibility of Berberine Combined with Antifungal Agents Against the Yeast Form of Talaromyces marneffei. Mycopathologia. 184(2). 295–301. 10 indexed citations

13.

Joseph, Justin, et al.. (2018). A prospective case study of high boost, high frequency emphasis and two-way diffusion filters on MR images of glioblastoma multiforme. Australasian Physical & Engineering Sciences in Medicine. 41(2). 415–427. 11 indexed citations

14.

Joseph, Justin, et al.. (2018). A customized nonlocal restoration schemes with adaptive strength of smoothening for magnetic resonance images. Biomedical Signal Processing and Control. 49. 160–172. 18 indexed citations

15.

Joseph, Justin & R. Periyasamy. (2018). Nonlinear sharpening of MR images using a locally adaptive sharpness gain and a noise reduction parameter. Pattern Analysis and Applications. 22(1). 273–283. 7 indexed citations

16.

Joseph, Justin, et al.. (2017). An investigation on the statistical significance of spectral signatures of lung sounds. Biomedical Research-tokyo. 28(6). 2801–2810. 9 indexed citations

17.

Joseph, Justin & R. Periyasamy. (2017). A fully customized enhancement scheme for controlling brightness error and contrast in magnetic resonance images. Biomedical Signal Processing and Control. 39. 271–283. 41 indexed citations

18.

Joseph, Justin, et al.. (2016). Noise Based Computation of Decay Control Parameter in Nonlocal Means Filter for MRI Restoration. Journal of Medical Imaging and Health Informatics. 6(4). 1027–1037. 10 indexed citations

19.

Joseph, Justin, et al.. (2016). An Edge Preservation Index for Evaluating Nonlinear Spatial Restoration in MR Images. Current Medical Imaging Formerly Current Medical Imaging Reviews. 13(1). 58–65. 24 indexed citations

20.

Akter, Tahmina, Justin Joseph, & Woo Soo Kim. (2012). Fabrication of Sensitivity Tunable Flexible Force Sensor via Spray Coating of Graphite Ink. IEEE Electron Device Letters. 33(6). 902–904. 17 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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