Rajeev Kumar Singh

609 total citations
25 papers, 380 citations indexed

About

Rajeev Kumar Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rajeev Kumar Singh has authored 25 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rajeev Kumar Singh's work include Image and Signal Denoising Methods (5 papers), Optical Wireless Communication Technologies (4 papers) and AI in cancer detection (3 papers). Rajeev Kumar Singh is often cited by papers focused on Image and Signal Denoising Methods (5 papers), Optical Wireless Communication Technologies (4 papers) and AI in cancer detection (3 papers). Rajeev Kumar Singh collaborates with scholars based in India, Puerto Rico and United Kingdom. Rajeev Kumar Singh's co-authors include Reena Singh, Mayank Jain, Karmeshu, Santosh Kumar, Ramesh Kumar Pandey, Kamleshwar Singh, Abhishek Tiwari, Rama Kant Singh, Rajesh Prasad and Deepak Rai and has published in prestigious journals such as PLoS ONE, Computers & Industrial Engineering and Neural Computing and Applications.

In The Last Decade

Rajeev Kumar Singh

25 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajeev Kumar Singh India 9 138 132 72 60 41 25 380
Zeeshan Abbas South Korea 14 98 0.7× 98 0.7× 45 0.6× 77 1.3× 38 0.9× 34 508
Prabhpreet Kaur India 12 185 1.3× 178 1.3× 51 0.7× 158 2.6× 20 0.5× 43 501
Masum Shah Junayed Türkiye 10 108 0.8× 66 0.5× 16 0.2× 121 2.0× 53 1.3× 26 340
Renjun Shuai China 8 86 0.6× 153 1.2× 13 0.2× 140 2.3× 21 0.5× 10 301
Marcus Bloice Austria 9 68 0.5× 77 0.6× 21 0.3× 78 1.3× 10 0.2× 15 292
S. Deivalakshmi India 10 124 0.9× 127 1.0× 39 0.5× 164 2.7× 7 0.2× 59 395
Surbhi Gupta India 15 188 1.4× 268 2.0× 10 0.1× 83 1.4× 17 0.4× 24 563
Redha Ali United States 9 82 0.6× 85 0.6× 28 0.4× 109 1.8× 7 0.2× 15 219
Sourodip Ghosh India 7 138 1.0× 111 0.8× 13 0.2× 110 1.8× 11 0.3× 11 265
R. Geetha India 7 40 0.3× 58 0.4× 23 0.3× 67 1.1× 11 0.3× 67 244

Countries citing papers authored by Rajeev Kumar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Rajeev Kumar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajeev Kumar Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Rajeev Kumar Singh. A scholar is included among the top collaborators of Rajeev Kumar Singh 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 Rajeev Kumar Singh. Rajeev Kumar Singh 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.
Singh, Rajeev Kumar, et al.. (2024). A Hybrid Approach based on Haar Cascade, Softmax, and CNN for Human Face Recognition. Journal of Scientific & Industrial Research. 83(4). 1 indexed citations
2.
Tiwari, Abhishek, et al.. (2023). SwinDTI: swin transformer-based generalized fast estimation of diffusion tensor parameters from sparse data. Neural Computing and Applications. 36(6). 3179–3196. 3 indexed citations
3.
Singh, Rajeev Kumar, et al.. (2022). SkiNet: A deep learning framework for skin lesion diagnosis with uncertainty estimation and explainability. PLoS ONE. 17(10). e0276836–e0276836. 27 indexed citations
4.
5.
Singh, Rajeev Kumar, et al.. (2021). COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays. Neural Computing and Applications. 33(14). 8871–8892. 77 indexed citations
6.
Singh, Rajeev Kumar, et al.. (2020). DMENet: Diabetic Macular Edema diagnosis using Hierarchical Ensemble of CNNs. PLoS ONE. 15(2). e0220677–e0220677. 59 indexed citations
7.
Singh, Rajeev Kumar, et al.. (2020). SHEG: summarization and headline generation of news articles using deep learning. Neural Computing and Applications. 33(8). 3251–3265. 18 indexed citations
8.
Singh, Rajeev Kumar, et al.. (2019). A Comparative Study of CNN and AlexNet for Detection of Disease in Potato and Mango leaf. 1–6. 83 indexed citations
9.
Singh, Rajeev Kumar, et al.. (2019). Cervical Cancer Diagnosis using CervixNet - A Deep Learning Approach. 397–404. 30 indexed citations
10.
Kumar, Santosh, Rajeev Kumar Singh, & Karmeshu. (2019). Exact distributions for bit error rate and channel capacity in free‐space optical communication. IET Communications. 13(18). 2966–2972. 1 indexed citations
11.
Singh, Rama Kant, Deepak Rai, Rajesh Prasad, & Rajeev Kumar Singh. (2018). Similarity Detection in Biological Sequences using Parameterized Matching and Q-gram. 19. 1–6. 6 indexed citations
12.
Singh, Rajeev Kumar, Karmeshu, & Santosh Kumar. (2017). A Novel Approximation for K Distribution: Closed-Form BER Using DPSK Modulation in Free-Space Optical Communication. IEEE photonics journal. 9(5). 1–14. 12 indexed citations
13.
Singh, Rajeev Kumar, et al.. (2014). Solution of System of Generalized Abel's Integral Equation using Gegenbauer Wavelets. International Journal of Computer Applications. 95(1). 1–4. 3 indexed citations
14.
Pandey, Ramesh Kumar, et al.. (2013). An endo-aesthetic management of crown dilaceration in a permanent mandibular central incisor. BMJ Case Reports. 2013. bcr2012007956–bcr2012007956. 2 indexed citations
15.
Singh, Rajeev Kumar, et al.. (2012). Dental lamina cysts in a newborn infant. BMJ Case Reports. 2012. bcr2012007061–bcr2012007061. 11 indexed citations
16.
Pandey, Ramesh Kumar, et al.. (2012). Crouzon syndrome: a social stigma. BMJ Case Reports. 2012. bcr2012007242–bcr2012007242. 3 indexed citations
17.
Singh, Rajeev Kumar, et al.. (1997). ML parameter estimation and minimum distance classifier for texture analysis using wavelet transform. Computers & Industrial Engineering. 33(1-2). 449–452. 2 indexed citations
18.
Singh, Reena, et al.. (1997). <title>Wavelet transform and SGLDM: a classification performance study using ML parameter estimation, minimum distance, and k-nearest-neighbor classifiers</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3074. 142–150. 1 indexed citations
19.
Singh, Rajeev Kumar, et al.. (1997). <title>Edge detection: conventional operators vis a vis wavelets</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2984. 169–177. 3 indexed citations
20.
Singh, Rajeev Kumar, et al.. (1997). <title>Comparison of Daubechies, Coiflet, and Symlet for edge detection</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3074. 151–159. 25 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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