Vikrant Bhateja

4.8k total citations
153 papers, 2.4k citations indexed

About

Vikrant Bhateja is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Vikrant Bhateja has authored 153 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computer Vision and Pattern Recognition, 51 papers in Media Technology and 22 papers in Artificial Intelligence. Recurrent topics in Vikrant Bhateja's work include Image and Signal Denoising Methods (49 papers), Advanced Image Fusion Techniques (44 papers) and Image Enhancement Techniques (20 papers). Vikrant Bhateja is often cited by papers focused on Image and Signal Denoising Methods (49 papers), Advanced Image Fusion Techniques (44 papers) and Image Enhancement Techniques (20 papers). Vikrant Bhateja collaborates with scholars based in India, Italy and United Kingdom. Vikrant Bhateja's co-authors include Suresh Chandra Satapathy, A. Lay-Ekuakille, Shabana Urooj, Abhinav Krishn, Akanksha Sahu, Akshat Jain, Mukul Misra, Ram Sarkar, Prateek Gupta and K. Srujan Raju and has published in prestigious journals such as SHILAP Revista de lepidopterología, Plant and Soil and Review of Scientific Instruments.

In The Last Decade

Vikrant Bhateja

148 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikrant Bhateja India 26 1.2k 841 481 263 222 153 2.4k
Xin Yang China 27 2.4k 1.9× 540 0.6× 587 1.2× 194 0.7× 257 1.2× 230 3.7k
Zhijun Fang China 27 2.0k 1.6× 456 0.5× 650 1.4× 252 1.0× 188 0.8× 162 3.0k
Anup Basu Canada 28 2.2k 1.8× 706 0.8× 407 0.8× 333 1.3× 140 0.6× 264 3.4k
Manoj Diwakar India 25 1.2k 1.0× 590 0.7× 453 0.9× 129 0.5× 113 0.5× 217 2.5k
Santanu Chaudhury India 26 1.8k 1.5× 415 0.5× 699 1.5× 112 0.4× 143 0.6× 286 3.0k
Tao Chen China 26 1.2k 1.0× 323 0.4× 860 1.8× 187 0.7× 293 1.3× 130 2.5k
Arif Mahmood Pakistan 28 1.7k 1.4× 375 0.4× 887 1.8× 339 1.3× 84 0.4× 121 2.7k
Kai‐Lung Hua Taiwan 23 1.2k 1.0× 262 0.3× 481 1.0× 153 0.6× 180 0.8× 141 2.3k
Shih-Chia Huang Taiwan 27 2.3k 1.9× 990 1.2× 263 0.5× 244 0.9× 225 1.0× 95 3.2k
Toshihiko Yamasaki Japan 28 2.9k 2.4× 728 0.9× 902 1.9× 103 0.4× 195 0.9× 279 4.0k

Countries citing papers authored by Vikrant Bhateja

Since Specialization
Citations

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

Fields of papers citing papers by Vikrant Bhateja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikrant Bhateja

This figure shows the co-authorship network connecting the top 25 collaborators of Vikrant Bhateja. A scholar is included among the top collaborators of Vikrant Bhateja 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 Vikrant Bhateja. Vikrant Bhateja 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.
Bhateja, Vikrant, et al.. (2025). Quantum-based deep learning method for recognition of facial expressions. Neural Computing and Applications. 37(16). 10163–10173. 2 indexed citations
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Omar, Zaid, et al.. (2023). Auto-Lesion Segmentation with a Novel Intensity Dark Channel Prior for COVID-19 Detection. Journal of Physics Conference Series. 2622(1). 12002–12002. 2 indexed citations
5.
Bhateja, Vikrant, et al.. (2023). Optimized S-Curve Transformation and Wavelets-Based Fusion for Contrast Elevation of Breast Tomograms and Mammograms. Diagnostics. 13(3). 410–410. 2 indexed citations
6.
Bhateja, Vikrant, Xin‐She Yang, Jerry Chun‐Wei Lin, & Ranjita Das. (2023). Evolution in Computational Intelligence. Smart innovation, systems and technologies. 1 indexed citations
7.
Bhateja, Vikrant, Xin‐She Yang, Jerry Chun‐Wei Lin, & Ranjita Das. (2023). Intelligent Data Engineering and Analytics. Smart innovation, systems and technologies.
8.
Saxena, Rahul, et al.. (2021). Propagation Analysis of COVID-19: An SIR Model-Based Investigation of the Pandemic. Arabian Journal for Science and Engineering. 48(8). 11103–11115. 7 indexed citations
9.
Satapathy, Suresh Chandra, Vikrant Bhateja, & Swagatam Das. (2021). Smart Intelligent Computing and Applications: Proceedings of the Second International Conference on SCI 2018, Volume 1. Springer eBooks. 1 indexed citations
10.
Bhateja, Vikrant, et al.. (2021). COFE-Net: An ensemble strategy for Computer-Aided Detection for COVID-19. Measurement. 187. 110289–110289. 23 indexed citations
11.
Ghosh, Manosij, Ritam Guha, Pawan Kumar Singh, Vikrant Bhateja, & Ram Sarkar. (2019). A histogram based fuzzy ensemble technique for feature selection. Evolutionary Intelligence. 12(4). 713–724. 13 indexed citations
12.
Guha, Ritam, et al.. (2019). Deluge based Genetic Algorithm for feature selection. Evolutionary Intelligence. 14(2). 357–367. 69 indexed citations
13.
Bhateja, Vikrant, et al.. (2018). Multispectral medical image fusion scheme based on hybrid contourlet and shearlet transform domains. Review of Scientific Instruments. 89(8). 84301–84301. 7 indexed citations
14.
Satapathy, Suresh Chandra, Jyotsna Kumar Mandal, Siba K. Udgata, & Vikrant Bhateja. (2016). Information Systems Design and Intelligent Applications: Proceedings of Third International Conference INDIA 2016, Volume 1. Springer eBooks. 2 indexed citations
15.
Dey, Nilanjan, Vikrant Bhateja, & Aboul Ella Hassanien. (2016). Medical Imaging in Clinical Applications: Algorithmic and Computer-Based Approaches. CERN Document Server (European Organization for Nuclear Research). 13 indexed citations
16.
Bhateja, Vikrant, et al.. (2015). Modified Anisotropic Diffusion filtering algorithm for MRI. International Conference on Computing for Sustainable Global Development. 1885–1890. 4 indexed citations
17.
Bhateja, Vikrant, et al.. (2015). Multimodal Medical Image Sensor Fusion Framework Using Cascade of Wavelet and Contourlet Transform Domains. IEEE Sensors Journal. 15(12). 6783–6790. 140 indexed citations
18.
Bhateja, Vikrant, et al.. (2015). Estimation based non-local approach for pre-processing of MRI. International Conference on Computing for Sustainable Global Development. 1622–1626. 3 indexed citations
19.
Satapathy, Suresh Chandra, K. Srujan Raju, Jyotsna Kumar Mandal, & Vikrant Bhateja. (2015). Proceedings of the Second International Conference on Computer and Communication Technologies: IC3T 2015, Volume 1. Springer eBooks. 5 indexed citations
20.
Bhateja, Vikrant, Mukul Misra, Shabana Urooj, & A. Lay-Ekuakille. (2013). A Robust Polynomial Filtering Framework for Mammographic Image Enhancement From Biomedical Sensors. IEEE Sensors Journal. 13(11). 4147–4156. 37 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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