H.S. Bhadauria
Impact in
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- Digital Imaging for Blood Diseases
- Image and Signal Denoising Methods
- Medical Image Segmentation Techniques
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- Advanced Image Fusion Techniques 13
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- Medical Image Segmentation Techniques 16
- Image and Signal Denoising Methods 14
- Digital Imaging for Blood Diseases 11
- Advanced Image Processing Techniques 6
- Co-authors
- Annapurna SinghM. L. DewalJitendra VirmaniJyoti RawatDevendra PrasadVikrant SharmaR. B. PatelAnjali Gautam
In The Last Decade
H.S. Bhadauria
59 papers receiving 863 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 525
- Biophysics 95
- Media Technology 139
- Artificial Intelligence 351
- Neurology 88
Countries citing papers authored by H.S. Bhadauria
This map shows the geographic impact of H.S. Bhadauria'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 H.S. Bhadauria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H.S. Bhadauria more than expected).
Fields of papers citing papers by H.S. Bhadauria
This network shows the impact of papers produced by H.S. Bhadauria. 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 H.S. Bhadauria. The network helps show where H.S. Bhadauria may publish in the future.
Co-authorship network
The 23 scholars most cited alongside H.S. Bhadauria, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2021 | 7 | |
| 3 | 2021 | 34 | |
| 4 | 2021 | 3 | |
| 5 | 2021 | 1 | |
| 6 | 2019 | 23 | |
| 7 | 2017 | 1 | |
| 8 | 2017 | 2 | |
| 9 | 2016 | 2 | |
| 10 | Review of leukocyte classification techniques for microscopic blood images | 2015 | 20 |
| 11 | A review of breast density classification methods | 2015 | 9 |
| 12 | Performance evaluation of segmentation methods for brain CT images based hemorrhage detection | 2015 | 5 |
| 13 | 2014 | 13 | |
| 14 | 2014 | 1 | |
| 15 | 2014 | 11 | |
| 16 | 2014 | 10 | |
| 17 | 2012 | 54 | |
| 18 | 2012 | 17 | |
| 19 | 2011 | 17 | |
| 20 | Edge Detection of Noisy Abnormal Lung CT Image Based on Combined Wavelet Transform and Canny Operator | 2010 | 1 |
About H.S. Bhadauria
H.S. Bhadauria is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Biophysics, Computer Networks and Communications and Artificial Intelligence, having authored 62 papers that have together received 920 indexed citations. Recurring topics across this work include AI in cancer detection (17 papers), Medical Image Segmentation Techniques (16 papers), Image and Signal Denoising Methods (14 papers), Advanced Image Fusion Techniques (13 papers), Digital Imaging for Blood Diseases (11 papers), Energy Efficient Wireless Sensor Networks (7 papers), Advanced Image Processing Techniques (6 papers) and Infrared Thermography in Medicine (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (525 citations), Biophysics (95 citations), Media Technology (139 citations), Artificial Intelligence (351 citations) and Neurology (88 citations). H.S. Bhadauria has collaborated with scholars based in India and Czechia. Frequent co-authors include Annapurna Singh, M. L. Dewal, Jitendra Virmani, Jyoti Rawat, Devendra Prasad, Vikrant Sharma, R. B. Patel, Anjali Gautam, Indrajeet Kumar and Noor Mohd. Their work appears in journals such as Computers & Electrical Engineering, Multimedia Tools and Applications, Wireless Personal Communications, Journal of Digital Imaging and Arabian Journal for Science and Engineering.
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.