Jagadeesh Pujari

1.1k total citations
53 papers, 753 citations indexed

About

Jagadeesh Pujari is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Plant Science. According to data from OpenAlex, Jagadeesh Pujari has authored 53 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 11 papers in Media Technology and 10 papers in Plant Science. Recurrent topics in Jagadeesh Pujari's work include Image Retrieval and Classification Techniques (17 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Smart Agriculture and AI (10 papers). Jagadeesh Pujari is often cited by papers focused on Image Retrieval and Classification Techniques (17 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Smart Agriculture and AI (10 papers). Jagadeesh Pujari collaborates with scholars based in India and Bangladesh. Jagadeesh Pujari's co-authors include Rajesh Yakkundimath, A. S. Byadgi, P. S. Hiremath, S. Shivashankar, Padmashree Desai, V. Kamakshi Prasad, N. H. Ayachit, T R Mahesh, P. S. Hiremath and Ann Marie Hake and has published in prestigious journals such as Biomedical Signal Processing and Control, Contrast Media & Molecular Imaging and SN Computer Science.

In The Last Decade

Jagadeesh Pujari

44 papers receiving 656 citations

Peers

Jagadeesh Pujari

CVPR

Shreelekha Pandey India

Olarik Surinta Thailand

Geeta Rani India

Mahesh Gour India

Önsen Toygar Cyprus

Anindita Septiarini Indonesia

Md Jahid Hasan Bangladesh

Faisal Ahmed Bangladesh

S. Manjunath India

Shreelekha Pandey India

Jagadeesh Pujari

352 ×1.0

157 ×0.5

CVPR

169 ×0.8

16 ×0.2

58 ×0.9

Citations per year, relative to Jagadeesh Pujari Jagadeesh Pujari (= 1×) peers Shreelekha Pandey

Countries citing papers authored by Jagadeesh Pujari

Since Specialization

Citations

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

Fields of papers citing papers by Jagadeesh Pujari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jagadeesh Pujari

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

Pujari, Jagadeesh, et al.. (2024). Content-based medical image retrieval using deep learning-based features and hybrid meta-heuristic optimization. Biomedical Signal Processing and Control. 92. 106069–106069. 14 indexed citations

Pujari, Jagadeesh, et al.. (2022). Efficient Hybrid Blind Watermarking in DWT‐DCT‐SVD with Dual Biometric Features for Images. Contrast Media & Molecular Imaging. 2022(1). 2918126–2918126. 14 indexed citations

Pujari, Jagadeesh, et al.. (2022). An efficient and robust parallel scheduler for bioinformatics applications in a public cloud: A bigdata approach. Indonesian Journal of Electrical Engineering and Computer Science. 25(2). 1078–1078. 2 indexed citations

Pujari, Jagadeesh, et al.. (2022). Improved deep generative adversarial network with illuminant invariant local binary pattern features for facial expression recognition. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 11(3). 678–695. 4 indexed citations

Pujari, Jagadeesh, et al.. (2022). Hybrid Features and Deep Learning Model for Facial Expression Recognition From Videos. International Journal of Image and Graphics. 23(5).

Hiremath, P. S., et al.. (2019). Text Extraction and Recognition in Natural Scene Images using Contourlet Transform and PNN. International Journal of Innovative Technology and Exploring Engineering. 9(2S). 83–91.

Pujari, Jagadeesh, et al.. (2019). Application of FFDNET for Image Denoising On Microarray Images. International Journal of Recent Technology and Engineering (IJRTE). 8(3). 2691–2694. 1 indexed citations

Pujari, Jagadeesh, et al.. (2018). Timeline Analysis of Twitter User. Procedia Computer Science. 132. 157–166. 8 indexed citations

Pujari, Jagadeesh, et al.. (2016). Text Localization and Character Extraction in Natural Scene Images using Contourlet Transform and SVM Classifier. International Journal of Image Graphics and Signal Processing. 8(5). 36–42. 8 indexed citations

10.

Pujari, Jagadeesh, et al.. (2016). Neuro-fuzzy fusion in a multimodal face recognition using PCA, ICA and SIFT. International Journal of Computational Vision and Robotics. 6(4). 414–414. 1 indexed citations

11.

Pujari, Jagadeesh, et al.. (2016). PNN Based Character Recognition in Natural Scene Images. 6(Special Issue). 109–113. 1 indexed citations

12.

Pujari, Jagadeesh, et al.. (2015). Human Face Recognition Using Combined Approaches PCA and ICA. 7(10). 301–307. 2 indexed citations

13.

Pujari, Jagadeesh, et al.. (2015). Grading and Classification of Anthracnose Fungal Disease of Fruits based on Statistical Texture Features. 35 indexed citations

14.

Pujari, Jagadeesh, et al.. (2015). Role of GLCM Features in Identifying Abnormalities in the Retinal Images. International Journal of Image Graphics and Signal Processing. 7(6). 45–51. 11 indexed citations

15.

Pujari, Jagadeesh, et al.. (2015). Identifying Abnormalities in the Retinal Images using SVM Classifiers. International Journal of Computer Applications. 111(6). 5–8. 13 indexed citations

16.

Pujari, Jagadeesh, Rajesh Yakkundimath, & A. S. Byadgi. (2015). Image Processing Based Detection of Fungal Diseases in Plants. Procedia Computer Science. 46. 1802–1808. 109 indexed citations

17.

Pujari, Jagadeesh, Rajesh Yakkundimath, & A. S. Byadgi. (2013). Statistical Methods for Quantitatively Detecting Fungal Disease from Fruits' Images. International Journal of Intelligent Systems and Applications in Engineering. 1(4). 60–67. 11 indexed citations

18.

Desai, Padmashree, Jagadeesh Pujari, N. H. Ayachit, & V. Kamakshi Prasad. (2013). Classification of archaeological monuments for different art forms with an application to CBIR. 1108–1112. 15 indexed citations

19.

Pujari, Jagadeesh, et al.. (2011). A Novel Technique for Dead End and Bump Detection in Indian Road Images Using Color Segmentation and Knowledge Base Object Detection. 3(3). 178–185.

20.

Hiremath, P. S., et al.. (2010). Writer identification in a handwritten document image using texture features. 7. 139–142. 8 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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