Rajoo Pandey

639 total citations
54 papers, 425 citations indexed

About

Rajoo Pandey is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Rajoo Pandey has authored 54 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 17 papers in Signal Processing and 16 papers in Media Technology. Recurrent topics in Rajoo Pandey's work include Image and Signal Denoising Methods (18 papers), Blind Source Separation Techniques (15 papers) and Advanced Image Fusion Techniques (14 papers). Rajoo Pandey is often cited by papers focused on Image and Signal Denoising Methods (18 papers), Blind Source Separation Techniques (15 papers) and Advanced Image Fusion Techniques (14 papers). Rajoo Pandey collaborates with scholars based in India, Nepal and United Kingdom. Rajoo Pandey's co-authors include Vrinda Gupta, Umesh Ghanekar, Anand Kumar Singh, Rajiv Verma, Arvind Kumar, A. Brameller, Awadhesh Kumar Singh, Nitesh Arora, Bikash K. Sinha and S. R. Singh and has published in prestigious journals such as Journal of Hydrology, IEEE Internet of Things Journal and Pattern Recognition Letters.

In The Last Decade

Rajoo Pandey

48 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rajoo Pandey India	10	191	164	151	102	73	54	425
Iyad F. Jafar Jordan	16	409 2.1×	301 1.8×	279 1.8×	69 0.7×	60 0.8×	39	755
Jianling Hu China	14	321 1.7×	91 0.6×	115 0.8×	49 0.5×	46 0.6×	41	493
Muralidhar Kulkarni India	9	166 0.9×	141 0.9×	156 1.0×	67 0.7×	9 0.1×	64	424
Chengpo Mu China	9	79 0.4×	118 0.7×	30 0.2×	49 0.5×	57 0.8×	22	299
Sungho Jeon South Korea	12	188 1.0×	75 0.5×	390 2.6×	186 1.8×	68 0.9×	79	602
Venkatraman Atti United States	8	43 0.2×	111 0.7×	67 0.4×	111 1.1×	128 1.8×	30	329
Jeongsik Choi South Korea	14	127 0.7×	75 0.5×	368 2.4×	30 0.3×	56 0.8×	46	495
Gene C. H. Chuang Taiwan	7	25 0.1×	209 1.3×	113 0.7×	39 0.4×	94 1.3×	13	373
Dinko Begušić Croatia	15	228 1.2×	28 0.2×	343 2.3×	33 0.3×	62 0.8×	59	458
Truong Thao Nguyen Japan	11	44 0.2×	345 2.1×	59 0.4×	201 2.0×	45 0.6×	54	473

Countries citing papers authored by Rajoo Pandey

Since Specialization

Citations

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

Fields of papers citing papers by Rajoo Pandey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajoo Pandey

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

Pandey, Rajoo, et al.. (2025). Scale invariable hybrid-attention Generative Adversarial Network for Single Image Super Resolution. Pattern Recognition Letters. 197. 236–242.

Kumar, Arvind, et al.. (2024). A 4-channelled hazy image input generation and deep learning-based single image dehazing. Journal of Visual Communication and Image Representation. 100. 104099–104099. 3 indexed citations

Pandey, Rajoo, et al.. (2024). Evaluating energy harvesting UAV-NOMA network with random user pairing in the finite blocklength regime. Vehicular Communications. 49. 100831–100831. 1 indexed citations

Pandey, Rajoo, et al.. (2024). Coverage Analysis Under Imperfect SIC for EH-Enabled UAV-NOMA Cellular Network in Finite Blocklength Framework. IEEE Wireless Communications Letters. 13(9). 2442–2446.

Kumar, Arvind, et al.. (2023). A generic post-processing framework for image dehazing. Signal Image and Video Processing. 17(6). 3183–3191. 3 indexed citations

Kumar, Arvind, et al.. (2021). Region-based adaptive single image dehazing, detail enhancement and pre-processing using auto-colour transfer method. Signal Processing Image Communication. 100. 116532–116532. 13 indexed citations

Pandey, Rajoo, et al.. (2020). Segment-wise Quality Evaluation for Identification of Face Spoofing. International Journal of Image Graphics and Signal Processing. 12(1). 30–37.

Verma, Rajiv & Rajoo Pandey. (2018). Grey relational analysis based adaptive smoothing parameter for non-local means image denoising. Multimedia Tools and Applications. 77(19). 25919–25940. 5 indexed citations

Pandey, Rajoo, et al.. (2017). Eigenvalue-based reliable spectrum sensing scheme for cognitive radio networks. 1–5. 5 indexed citations

10.

Pandey, Rajoo, et al.. (2016). A reliable spectrum sensing scheme using sample covariance matrix for cognitive radio. 127. 17–20. 1 indexed citations

11.

Gupta, Vrinda & Rajoo Pandey. (2016). An Improved Energy Aware Distributed Clustering Protocol for Wireless Sensor Networks. International Journal of Computer Network and Information Security. 8(6). 29–37. 3 indexed citations

12.

Ghanekar, Umesh & Rajoo Pandey. (2015). Random valued impulse noise removal using adaptive neuro -fuzzy impulse detector. 13. 307–311. 1 indexed citations

13.

Arora, Nitesh & Rajoo Pandey. (2015). Noise adaptive FCM algorithm for segmentation of MRI brain images using local and non-local spatial information. 12. 610–617. 6 indexed citations

14.

Pandey, Rajoo & Umesh Ghanekar. (2014). Denoising of colour images using window contrast enhancement and vector alignment. AEU - International Journal of Electronics and Communications. 69(2). 523–528. 1 indexed citations

15.

Ghanekar, Umesh & Rajoo Pandey. (2013). An intensity independent fixed valued impulse noise detector for image restoration. AEU - International Journal of Electronics and Communications. 68(3). 210–215. 2 indexed citations

16.

Ghanekar, Umesh, Awadhesh Kumar Singh, & Rajoo Pandey. (2007). A New Scheme for Impulse Detection in Switching Median Filters for Image Filtering. 442–446. 4 indexed citations

17.

Pandey, Rajoo. (2007). Complex-Valued Neural Networks For Blind Equalization Of Time-Varying Channels. Zenodo (CERN European Organization for Nuclear Research). 1(9). 1422–1429. 5 indexed citations

18.

Pandey, Rajoo. (2007). Complex-Valued Neural Networks For Blind Equalization Of Time-Varying Channels. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations

19.

Pandey, Rajoo. (2005). Complex Valued Recurrent Neural Networks for Blind Equalization. International Journal of Modelling and Simulation. 25(3). 182–189. 1 indexed citations

20.

Pandey, Rajoo, et al.. (2002). Blind Equalization of Nonlinear Communication Channels using Modified FLANN. IETE Journal of Research. 48(2). 127–132. 1 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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