P. Jidesh

629 total citations
69 papers, 421 citations indexed

About

P. Jidesh is a scholar working on Computer Vision and Pattern Recognition, Numerical Analysis and Mathematical Physics. According to data from OpenAlex, P. Jidesh has authored 69 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 22 papers in Numerical Analysis and 16 papers in Mathematical Physics. Recurrent topics in P. Jidesh's work include Image and Signal Denoising Methods (31 papers), Iterative Methods for Nonlinear Equations (22 papers) and Advanced Image Processing Techniques (21 papers). P. Jidesh is often cited by papers focused on Image and Signal Denoising Methods (31 papers), Iterative Methods for Nonlinear Equations (22 papers) and Advanced Image Processing Techniques (21 papers). P. Jidesh collaborates with scholars based in India and United States. P. Jidesh's co-authors include Santhosh George, Ioannis K. Argyros, K.S. Choudhari, Parthasarathy Kulithalai Shiyam Sundar, Suresh D. Kulkarni, N.K. Udayashankar and M. S. Bhat and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Remote Sensing.

In The Last Decade

P. Jidesh

60 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Jidesh India 11 161 83 69 55 52 69 421
Feng Xue China 8 135 0.8× 21 0.3× 61 0.9× 8 0.1× 36 0.7× 46 317
Nihar Kumar Mahato India 9 230 1.4× 25 0.3× 214 3.1× 6 0.1× 45 0.9× 22 483
Nataša Sladoje Sweden 13 220 1.4× 37 0.4× 64 0.9× 1 0.0× 37 0.7× 52 407
Xiangrong Zhang China 9 111 0.7× 33 0.4× 175 2.5× 3 0.1× 50 1.0× 21 425
Ben Appleton Australia 9 198 1.2× 43 0.5× 39 0.6× 2 0.0× 17 0.3× 19 290
Nasreddine Taleb Algeria 13 375 2.3× 71 0.9× 193 2.8× 30 0.6× 38 507
Harbinder Singh India 12 222 1.4× 133 1.6× 173 2.5× 2 0.0× 87 1.7× 35 500
Jean‐Charles Pinoli France 14 472 2.9× 61 0.7× 249 3.6× 2 0.0× 32 0.6× 55 665
Fangxun Bao China 13 422 2.6× 39 0.5× 220 3.2× 2 0.0× 26 0.5× 24 502

Countries citing papers authored by P. Jidesh

Since Specialization
Citations

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

Fields of papers citing papers by P. Jidesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Jidesh

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

All Works

20 of 20 papers shown
1.
George, Santhosh, et al.. (2025). Local and semilocal analysis of a class of fourth order methods under common set of assumptions. Applied Mathematics and Computation. 505. 129526–129526.
2.
Jidesh, P., et al.. (2024). A retinex inspired deep image prior model for despeckling and deblurring of aerial and satellite images using proximal gradient method. International Journal of Remote Sensing. 46(3). 1432–1466.
3.
George, Santhosh, et al.. (2024). On obtaining order of convergence of Jarratt-like method without using Taylor series expansion. Computational and Applied Mathematics. 43(4). 2 indexed citations
4.
Jidesh, P., et al.. (2023). A weighted nuclear norm (WNN)-based retinex DIP framework for restoring aerial and satellite images corrupted by gamma distributed speckle noise. Multimedia Tools and Applications. 83(13). 37927–37959. 2 indexed citations
5.
George, Santhosh, et al.. (2023). Finite dimensional realization of the FTR method with Raus and Gfrerer type discrepancy principle. Rendiconti del Circolo Matematico di Palermo Series 2. 72(7). 3765–3787.
6.
Jidesh, P., et al.. (2023). A self-attention driven retinex-based deep image prior model for satellite image restoration. Optics and Lasers in Engineering. 173. 107916–107916. 3 indexed citations
7.
George, Santhosh, et al.. (2023). On the Order of Convergence and the Dynamics of Werner-King's Method. Contemporary Mathematics. 99–117. 1 indexed citations
8.
George, Santhosh, et al.. (2023). Order of Convergence and Dynamics of Newton–Gauss-Type Methods. Fractal and Fractional. 7(2). 185–185. 3 indexed citations
9.
Jidesh, P., et al.. (2023). An improved hyperparameter optimization framework for AutoML systems using evolutionary algorithms. Scientific Reports. 13(1). 4737–4737. 68 indexed citations
10.
George, Santhosh, et al.. (2023). Order of Convergence, Extensions of Newton–Simpson Method for Solving Nonlinear Equations and Their Dynamics. Fractal and Fractional. 7(2). 163–163. 6 indexed citations
11.
George, Santhosh, et al.. (2022). On Newton’s Midpoint-Type Iterative Scheme’s Convergence. International Journal of Applied and Computational Mathematics. 8(5). 3 indexed citations
12.
George, Santhosh, et al.. (2022). On the convergence of Homeier method and its extensions. The Journal of Analysis. 31(1). 645–656. 2 indexed citations
13.
Argyros, Ioannis K., et al.. (2022). Extending the Applicability of Cordero Type Iterative Method. Symmetry. 14(12). 2495–2495. 1 indexed citations
14.
Jidesh, P., et al.. (2021). A retinex based non-local total generalized variation framework for OCT image restoration. Biomedical Signal Processing and Control. 71. 103234–103234. 6 indexed citations
15.
Jidesh, P., et al.. (2021). Despeckling and enhancement of ultrasound images using non-local variational framework. The Visual Computer. 38(4). 1413–1426. 9 indexed citations
16.
Jidesh, P., et al.. (2020). A Perceptually Inspired Variational Model for Enhancing and Restoring Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 18(2). 251–255. 3 indexed citations
17.
Jidesh, P., et al.. (2018). Adaptive non-local level-set model for despeckling and deblurring of synthetic aperture radar imagery. International Journal of Remote Sensing. 39(20). 6540–6556. 8 indexed citations
18.
Choudhari, K.S., et al.. (2013). Quantification and Morphology Studies of Nanoporous Alumina Membranes: A New Algorithm for Digital Image Processing. Microscopy and Microanalysis. 19(4). 1061–1072. 21 indexed citations
19.
Choudhari, K.S., P. Jidesh, & N.K. Udayashankar. (2012). Fabrication of Nanoporous Alumina and Their Structural Characteristics Study Using SEM Image Processing and Analysis. Synthesis and Reactivity in Inorganic Metal-Organic and Nano-Metal Chemistry. 42(3). 369–375. 12 indexed citations
20.
Jidesh, P. & Santhosh George. (2012). Shock coupled fourth-order diffusion for image enhancement. Computers & Electrical Engineering. 38(5). 1262–1277. 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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