Subrahmanyam Murala

4.7k total citations · 1 hit paper
97 papers, 3.0k citations indexed

About

Subrahmanyam Murala is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Subrahmanyam Murala has authored 97 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Computer Vision and Pattern Recognition, 30 papers in Media Technology and 5 papers in Artificial Intelligence. Recurrent topics in Subrahmanyam Murala's work include Image Enhancement Techniques (33 papers), Advanced Image and Video Retrieval Techniques (30 papers) and Advanced Image Processing Techniques (29 papers). Subrahmanyam Murala is often cited by papers focused on Image Enhancement Techniques (33 papers), Advanced Image and Video Retrieval Techniques (30 papers) and Advanced Image Processing Techniques (29 papers). Subrahmanyam Murala collaborates with scholars based in India, Ireland and Australia. Subrahmanyam Murala's co-authors include R. P. Maheshwari, Balasubramanian Raman, Q. M. Jonathan Wu, Akshay Dudhane, Prashant W. Patil, Praful Hambarde, Anil Balaji Gonde, Abhinav Dhall, Santosh Kumar Vipparthi and Manisha Verma and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Subrahmanyam Murala

92 papers receiving 2.9k citations

Hit Papers

Local Tetra Patterns: A N... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subrahmanyam Murala India 29 2.8k 768 275 145 132 97 3.0k
Vishwanath A. Sindagi United States 11 1.6k 0.6× 429 0.6× 434 1.6× 107 0.7× 62 0.5× 15 2.0k
Ezzeddine Zagrouba Tunisia 17 989 0.4× 343 0.4× 487 1.8× 190 1.3× 104 0.8× 132 1.5k
Chenglizhao Chen China 28 1.8k 0.6× 398 0.5× 287 1.0× 74 0.5× 16 0.1× 92 2.1k
Chun-Fu Richard Chen United States 6 797 0.3× 199 0.3× 395 1.4× 153 1.1× 58 0.4× 12 1.4k
Runlong Xia China 19 1.1k 0.4× 401 0.5× 222 0.8× 82 0.6× 18 0.1× 24 1.5k
Ashish Khare India 24 1.3k 0.4× 828 1.1× 226 0.8× 110 0.8× 50 0.4× 124 1.7k
Shaohui Lin China 17 1.6k 0.6× 325 0.4× 791 2.9× 59 0.4× 28 0.2× 62 2.1k
Xiaoyi Dong China 11 1.0k 0.4× 252 0.3× 504 1.8× 105 0.7× 65 0.5× 26 1.6k
Xia De-shen China 17 1.4k 0.5× 471 0.6× 275 1.0× 147 1.0× 140 1.1× 84 1.7k

Countries citing papers authored by Subrahmanyam Murala

Since Specialization
Citations

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

Fields of papers citing papers by Subrahmanyam Murala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subrahmanyam Murala

This figure shows the co-authorship network connecting the top 25 collaborators of Subrahmanyam Murala. A scholar is included among the top collaborators of Subrahmanyam Murala 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 Subrahmanyam Murala. Subrahmanyam Murala 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.
Vipparthi, Santosh Kumar, et al.. (2025). Former-HGR: Hand Gesture Recognition With Hybrid Feature-Aware Transformer. IEEE Sensors Letters. 9(6). 1–4.
2.
Patil, Prashant W., et al.. (2025). Unpaired recurrent learning for real-world video de-hazing. Pattern Recognition. 166. 111698–111698.
3.
Murala, Subrahmanyam, et al.. (2023). Nested Deformable Multi-head Attention for Facial Image Inpainting. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 6067–6076. 6 indexed citations
4.
Patil, Prashant W., Sunil Gupta, Santu Rana, Svetha Venkatesh, & Subrahmanyam Murala. (2023). Multi-weather Image Restoration via Domain Translation. 21639–21648. 16 indexed citations
5.
Murala, Subrahmanyam, et al.. (2023). Underwater Image Enhancement with Phase Transfer and Attention. 1–8. 5 indexed citations
6.
Murala, Subrahmanyam, et al.. (2022). Image inpainting via spatial projections. Pattern Recognition. 133. 109040–109040. 14 indexed citations
7.
Dudhane, Akshay, et al.. (2021). Motion estimation in hazy videos. Pattern Recognition Letters. 150. 130–138. 9 indexed citations
8.
Patil, Prashant W., et al.. (2020). An End-to-End Edge Aggregation Network for Moving Object Segmentation. 8146–8155. 39 indexed citations
9.
Hambarde, Praful, Akshay Dudhane, Prashant W. Patil, Subrahmanyam Murala, & Abhinav Dhall. (2020). Depth Estimation From Single Image And Semantic Prior. 1441–1445. 19 indexed citations
10.
Dudhane, Akshay, et al.. (2019). RI-GAN: An End-To-End Network for Single Image Haze Removal. 2014–2023. 56 indexed citations
11.
Bhunia, Ayan Kumar, et al.. (2018). Local Neighborhood Intensity Pattern–A new texture feature descriptor for image retrieval. Expert Systems with Applications. 113. 100–115. 62 indexed citations
12.
Patil, Prashant W. & Subrahmanyam Murala. (2018). MSFgNet: A Novel Compact End-to-End Deep Network for Moving Object Detection. IEEE Transactions on Intelligent Transportation Systems. 20(11). 4066–4077. 82 indexed citations
13.
Sahu, Ankita, et al.. (2017). Local Gaussian difference extrema pattern: A new feature extractor for face recognition. 19. 1–5. 4 indexed citations
14.
Murala, Subrahmanyam, et al.. (2016). Local peak valley co-occurrence patterns: A new feature descriptor for image retrieval. 1–5. 2 indexed citations
15.
Murala, Subrahmanyam & Q. M. Jonathan Wu. (2014). Local Mesh Patterns Versus Local Binary Patterns: Biomedical Image Indexing and Retrieval. IEEE Journal of Biomedical and Health Informatics. 18(3). 929–938. 164 indexed citations
16.
Murala, Subrahmanyam & Q. M. Jonathan Wu. (2013). MRI and CT image indexing and retrieval using local mesh peak valley edge patterns. Signal Processing Image Communication. 29(3). 400–409. 47 indexed citations
17.
Murala, Subrahmanyam, Q. M. Jonathan Wu, Ravi Balasubramanian, & R. P. Maheshwari. (2013). Joint histogram between color and local extrema patterns for object tracking. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8663. 86630T–86630T. 17 indexed citations
18.
Murala, Subrahmanyam, R. P. Maheshwari, & Balasubramanian Raman. (2012). Directional local extrema patterns: a new descriptor for content based image retrieval. International Journal of Multimedia Information Retrieval. 1(3). 191–203. 125 indexed citations
19.
Murala, Subrahmanyam, R. P. Maheshwari, & Balasubramanian Raman. (2011). Expert system design using wavelet and color vocabulary trees for image retrieval. Expert Systems with Applications. 39(5). 5104–5114. 41 indexed citations
20.
Murala, Subrahmanyam, et al.. (2010). Denoising of ultrasound images using Curvelet Transform. 447–451. 8 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026