Akshay Girdhar

496 total citations
36 papers, 290 citations indexed

About

Akshay Girdhar is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Akshay Girdhar has authored 36 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 9 papers in Artificial Intelligence. Recurrent topics in Akshay Girdhar's work include Image and Signal Denoising Methods (8 papers), Advanced Image Fusion Techniques (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Akshay Girdhar is often cited by papers focused on Image and Signal Denoising Methods (8 papers), Advanced Image Fusion Techniques (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Akshay Girdhar collaborates with scholars based in India, China and Pakistan. Akshay Girdhar's co-authors include Manvjeet Kaur, Parvinder S. Sandhu, Lakhwinder Kaur, Savita Gupta, Rajesh Vijayvergiya, Parminder Singh, Rajinder Kaur, Surbhi Gupta, Mandeep Kaur and Munesh Chandra Trivedi and has published in prestigious journals such as Multimedia Tools and Applications, Journal of Intelligent & Fuzzy Systems and Ultrasonic Imaging.

In The Last Decade

Akshay Girdhar

35 papers receiving 229 citations

Peers

Akshay Girdhar

CVPR

MT

SP

IS

AI

N.J. Leite Brazil

Shivsubramani Krishnamoorthy India

Xingbo Dong China

Umarani Jayaraman India

Rajesh Rohilla India

Jong‐Uk Hou South Korea

Sanjoy Kumar Saha India

Iyyakutti Iyappan Ganapathi United Arab Emirates

Peter Rot Slovenia

Rubens Machado Brazil

N.J. Leite Brazil

Akshay Girdhar

194 ×1.0

CVPR

52 ×0.6

MT

58 ×0.7

SP

15 ×0.3

IS

57 ×1.2

AI

Citations per year, relative to Akshay Girdhar Akshay Girdhar (= 1×) peers N.J. Leite

Countries citing papers authored by Akshay Girdhar

Since Specialization

Citations

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

Fields of papers citing papers by Akshay Girdhar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akshay Girdhar

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

1.

Singh, Parminder, et al.. (2023). Calcified Tissue Detection using Deep Learning Models in Intravascular Ultrasound images. 12. 1–6. 1 indexed citations

2.

Singh, Parminder, et al.. (2023). CADNet: an advanced architecture for automatic detection of coronary artery calcification and shadow border in intravascular ultrasound (IVUS) images. Physical and Engineering Sciences in Medicine. 46(2). 773–786. 4 indexed citations

3.

Singh, Parminder, et al.. (2023). A State-Of-The-Art Review on Coronary Artery Border Segmentation Algorithms for Intravascular Ultrasound (IVUS) Images. Cardiovascular Engineering and Technology. 14(2). 264–295. 8 indexed citations

4.

Singh, Parminder, et al.. (2023). Calcification Detection in Intravascular Ultrasound (IVUS) Images Using Transfer Learning Based MultiSVM model. Ultrasonic Imaging. 45(3). 136–150. 1 indexed citations

5.

Singh, Parminder, et al.. (2022). Performance analysis of various denoising filters on intravascular ultrasound coronary artery images. International Journal of Imaging Systems and Technology. 33(3). 965–984. 2 indexed citations

6.

Girdhar, Akshay, et al.. (2020). Digital image splicing detection technique using optimal threshold based local ternary pattern. Multimedia Tools and Applications. 79(19-20). 12829–12846. 33 indexed citations

7.

Girdhar, Akshay, et al.. (2019). Detection of Digital Image Forgery using Fast Fourier Transform and Local Features. 262–267. 26 indexed citations

8.

Sharma, Nidhi, et al.. (2018). NOVEL APPROACH FOR DENOISING USING HADOOP IMAGE PROCESSING INTERFACE. Procedia Computer Science. 132. 1327–1350. 2 indexed citations

9.

Girdhar, Akshay, et al.. (2018). Investigation on ROI size and location to classify mammograms. International Journal of Biomedical Engineering and Technology. 29(1). 68–68. 1 indexed citations

10.

Girdhar, Akshay, et al.. (2017). Outcome based predictive analysis of automatic question paper using data mining. 59. 629–634. 6 indexed citations

11.

Girdhar, Akshay, et al.. (2016). Virtualization Approach to Cluster Based Winograd's Variant of Strassen's Method Using RMI. 9. 82–88. 2 indexed citations

12.

Girdhar, Akshay, et al.. (2015). Investigation on impact of reservation policy on student enrollment using data mining. 39. 1–5. 2 indexed citations

13.

Girdhar, Akshay, et al.. (2015). Weighted Variance Based Scale Adaptive Threshold for Despeckling of Medical Ultrasound Images Using Curvelets. Journal of Medical Imaging and Health Informatics. 5(2). 272–281. 1 indexed citations

14.

Girdhar, Akshay, et al.. (2014). Automatic region growing segmentation for medical ultrasound images. 454–457. 3 indexed citations

15.

Girdhar, Akshay, et al.. (2012). Steganography using the Technique of Orderly Changing of Pixel Components. International Journal of Computer Applications. 58(6). 14–17. 1 indexed citations

16.

Girdhar, Akshay, et al.. (2011). A Novel Threshold Technique for Eliminating Speckle Noise In Ultrasound Images. 5 indexed citations

17.

Girdhar, Akshay, et al.. (2011). Region Based Adaptive Contrast Enhancement of Medical X-Ray Images. 6914. 1–5. 24 indexed citations

18.

Kaur, Rajinder, Akshay Girdhar, & Surbhi Gupta. (2011). Color Image Quantization based on Bacteria Foraging Optimization. International Journal of Computer Applications. 25(7). 33–42. 11 indexed citations

19.

Kaur, Mandeep, Akshay Girdhar, & Manvjeet Kaur. (2010). Multimodal Biometric System Using Speech and Signature Modalities. International Journal of Computer Applications. 5(12). 13–16. 8 indexed citations

20.

Kaur, Manvjeet, et al.. (2008). Fingerprint Verification System Using Minutiae Extraction Technique. Zenodo (CERN European Organization for Nuclear Research). 2(10). 3405–3410. 65 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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