Rajib Kumar Jha

415 total citations
40 papers, 290 citations indexed

About

Rajib Kumar Jha is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Rajib Kumar Jha has authored 40 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistical and Nonlinear Physics, 14 papers in Computer Vision and Pattern Recognition and 12 papers in Artificial Intelligence. Recurrent topics in Rajib Kumar Jha's work include stochastic dynamics and bifurcation (17 papers), Diffusion and Search Dynamics (8 papers) and AI in cancer detection (7 papers). Rajib Kumar Jha is often cited by papers focused on stochastic dynamics and bifurcation (17 papers), Diffusion and Search Dynamics (8 papers) and AI in cancer detection (7 papers). Rajib Kumar Jha collaborates with scholars based in India, Japan and Nepal. Rajib Kumar Jha's co-authors include Prabir Kumar Biswas, Β.N. Chatterji, Rajlaxmi Chouhan, Vaibhav Singhal, Rakesh Raushan, Kiyoharu Aizawa, Abhishek Kumar Gupta, Toshihiko Yamasaki, Manish Shrivastava and Sraban Kumar Mohanty and has published in prestigious journals such as Journal of the Franklin Institute, Automation in Construction and Optical Engineering.

In The Last Decade

Rajib Kumar Jha

37 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajib Kumar Jha India 10 128 76 59 41 34 40 290
Swarnendu Ghosh India 9 121 0.9× 86 1.1× 11 0.2× 20 0.5× 27 0.8× 17 235
Chongjing Wang China 9 122 1.0× 105 1.4× 10 0.2× 83 2.0× 11 0.3× 18 293
Xiufang Feng China 9 189 1.5× 85 1.1× 28 0.5× 67 1.6× 19 0.6× 41 338
Cheng Tai China 6 194 1.5× 128 1.7× 21 0.4× 12 0.3× 12 0.4× 11 355
李加福 LI Jia-fu China 8 86 0.7× 44 0.6× 42 0.7× 9 0.2× 30 0.9× 22 219
Jinlong Shi China 12 255 2.0× 65 0.9× 16 0.3× 12 0.3× 42 1.2× 48 388
Kwabena Adu Ghana 9 77 0.6× 110 1.4× 15 0.3× 77 1.9× 11 0.3× 24 287
Fangyuan Lei China 9 91 0.7× 104 1.4× 17 0.3× 11 0.3× 41 1.2× 39 271
Lili Meng China 9 250 2.0× 76 1.0× 36 0.6× 10 0.2× 11 0.3× 27 361

Countries citing papers authored by Rajib Kumar Jha

Since Specialization
Citations

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

Fields of papers citing papers by Rajib Kumar Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rajib Kumar Jha. 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 Rajib Kumar Jha. The network helps show where Rajib Kumar Jha may publish in the future.

Co-authorship network of co-authors of Rajib Kumar Jha

This figure shows the co-authorship network connecting the top 25 collaborators of Rajib Kumar Jha. A scholar is included among the top collaborators of Rajib Kumar Jha 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 Rajib Kumar Jha. Rajib Kumar Jha 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.
Raushan, Rakesh, Vaibhav Singhal, & Rajib Kumar Jha. (2024). Damage detection in concrete structures with multi-feature backgrounds using the YOLO network family. Automation in Construction. 170. 105887–105887. 20 indexed citations
2.
Jha, Rajib Kumar, et al.. (2023). Breast UltraSound Image classification using fuzzy-rank-based ensemble network. Biomedical Signal Processing and Control. 85. 104871–104871. 27 indexed citations
3.
Jha, Rajib Kumar, et al.. (2023). Segmentation of pectoral muscle from mammograms using U-Net having densely connected convolutional layers. Multimedia Tools and Applications. 83(8). 24505–24526. 3 indexed citations
4.
Jha, Rajib Kumar, et al.. (2023). Breast cancer diagnosis using modified Xception and stacked generalization ensemble classifier. Research on Biomedical Engineering. 39(4). 937–947. 1 indexed citations
5.
Jha, Rajib Kumar, et al.. (2021). Multidirectional Gabor Filter-Based Approach for Pectoral Muscle Boundary Detection. IEEE Transactions on Radiation and Plasma Medical Sciences. 6(4). 433–445. 3 indexed citations
6.
Arora, Vanita, et al.. (2021). Infrared Image Correlation for Non-destructive Testing and Evaluation of Materials. Journal of Nondestructive Evaluation. 40(3). 7 indexed citations
7.
Jha, Rajib Kumar, et al.. (2020). Variational Mode Decomposition based Image Segmentation using Sine Cosine Algorithm. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1177–1181. 1 indexed citations
8.
Jha, Rajib Kumar, et al.. (2020). A fast technique for image segmentation based on two Meta-heuristic algorithms. Multimedia Tools and Applications. 79(27-28). 19075–19127. 34 indexed citations
9.
Jha, Rajib Kumar, et al.. (2020). Breast Cancer Detection and Classification using Global Pooling. 1–5. 8 indexed citations
10.
Jha, Rajib Kumar, et al.. (2019). Radon Transform and Dynamic Stochastic Resonance based Technique for Line Detection from Noisy Image. Infoscience (Ecole Polytechnique Fédérale de Lausanne).
11.
Singh, Taniya, et al.. (2019). Randomness Assists in Wireless Connectivity. Infoscience (Ecole Polytechnique Fédérale de Lausanne).
12.
Sharma, Rashi, et al.. (2019). Robust Secret Sharing for Image Encryption in Fractional Fourier Transform Domain.
13.
Jha, Rajib Kumar, et al.. (2019). A Novel Noise-Enhanced Back-Propagation Technique for Weak Signal Detection in Neyman–Pearson Framework. Neural Processing Letters. 50(3). 2389–2406. 7 indexed citations
14.
Jha, Rajib Kumar, et al.. (2019). Biomedical Image Encryption Based on Fractional Discrete Cosine Transform with Singular Value Decomposition and Chaotic System. 3 indexed citations
15.
Jha, Rajib Kumar, et al.. (2018). Weak Signal Detection Using Stochastic Resonance with Approximated Fractional Integrator. Circuits Systems and Signal Processing. 38(3). 1157–1178. 13 indexed citations
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Chouhan, Rajlaxmi, Prabir Kumar Biswas, & Rajib Kumar Jha. (2015). Enhancement of low-contrast images by internal noise-induced Fourier coefficient rooting. Signal Image and Video Processing. 9(S1). 255–263. 13 indexed citations
19.
Gupta, Nidhi, Rajib Kumar Jha, & Sraban Kumar Mohanty. (2014). Enhancement of dark images using dynamic stochastic resonance in combined DWT and DCT domain. 1–6. 3 indexed citations
20.
Jha, Rajib Kumar, Prabir Kumar Biswas, & Β.N. Chatterji. (2005). Enhancement of Digital Images using Stochastic Resonance. 1–6. 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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