Krishna Mohan Buddhiraju

923 total citations
78 papers, 608 citations indexed

About

Krishna Mohan Buddhiraju is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Krishna Mohan Buddhiraju has authored 78 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Media Technology, 34 papers in Computer Vision and Pattern Recognition and 25 papers in Atmospheric Science. Recurrent topics in Krishna Mohan Buddhiraju's work include Remote-Sensing Image Classification (51 papers), Remote Sensing and Land Use (24 papers) and Advanced Image Fusion Techniques (20 papers). Krishna Mohan Buddhiraju is often cited by papers focused on Remote-Sensing Image Classification (51 papers), Remote Sensing and Land Use (24 papers) and Advanced Image Fusion Techniques (20 papers). Krishna Mohan Buddhiraju collaborates with scholars based in India, United States and France. Krishna Mohan Buddhiraju's co-authors include Alok Porwal, P. V. Arun, Biplab Banerjee, Jocelyn Chanussot, Avik Bhattacharya, Sangita Chaudhari, Rakesh Malhotra, Anil Kumar, Lorenzo Bruzzone and Subhasis Chaudhuri and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Sensors.

In The Last Decade

Krishna Mohan Buddhiraju

73 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Krishna Mohan Buddhiraju India 14 362 229 183 92 86 78 608
Yuanfeng Wu China 12 418 1.2× 263 1.1× 192 1.0× 82 0.9× 100 1.2× 52 802
Hang Fu China 11 416 1.1× 150 0.7× 230 1.3× 75 0.8× 58 0.7× 28 553
Shuli Cheng China 10 432 1.2× 171 0.7× 251 1.4× 123 1.3× 76 0.9× 25 612
Giovanni Marchisio United States 12 377 1.0× 284 1.2× 118 0.6× 122 1.3× 80 0.9× 33 619
Sergio Bernabé Spain 15 481 1.3× 209 0.9× 278 1.5× 175 1.9× 64 0.7× 43 681
Mi Zhang China 10 369 1.0× 143 0.6× 230 1.3× 144 1.6× 65 0.8× 32 527
Laila Bashmal Saudi Arabia 10 332 0.9× 345 1.5× 147 0.8× 93 1.0× 181 2.1× 17 701
Wenyuan Li China 13 492 1.4× 324 1.4× 208 1.1× 130 1.4× 130 1.5× 16 852
Ken Sakurada Japan 10 231 0.6× 242 1.1× 104 0.6× 60 0.7× 77 0.9× 25 467
Fan Dai China 10 326 0.9× 237 1.0× 125 0.7× 116 1.3× 51 0.6× 22 554

Countries citing papers authored by Krishna Mohan Buddhiraju

Since Specialization
Citations

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

Fields of papers citing papers by Krishna Mohan Buddhiraju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Krishna Mohan Buddhiraju. 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 Krishna Mohan Buddhiraju. The network helps show where Krishna Mohan Buddhiraju may publish in the future.

Co-authorship network of co-authors of Krishna Mohan Buddhiraju

This figure shows the co-authorship network connecting the top 25 collaborators of Krishna Mohan Buddhiraju. A scholar is included among the top collaborators of Krishna Mohan Buddhiraju 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 Krishna Mohan Buddhiraju. Krishna Mohan Buddhiraju 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.
Benoît, Alexandre, et al.. (2025). A Multitask Deep Learning Model for Classification and Regression of Hyperspectral Images: Application to a Large-Scale Dataset. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–20. 3 indexed citations
2.
3.
Ientilucci, Emmett J., et al.. (2024). Target Detection and Characterization of Multi-Platform Remote Sensing Data. Remote Sensing. 16(24). 4729–4729. 1 indexed citations
4.
Pai, Archana, Krishna Mohan Buddhiraju, & Surya S. Durbha. (2023). Texture Based LULC Classification of Images Using QSVM.
5.
Patil, Gopal R., et al.. (2023). ANALYSING URBAN SPRAWL OF THE MUMBAI METROPOLITAN REGION USING REMOTE SENSING AND SOCIOECONOMIC DATA. SHILAP Revista de lepidopterología. XLVIII-M-3-2023. 35–42. 2 indexed citations
6.
Banerjee, Biplab, et al.. (2022). Multi-head attention with CNN and wavelet for classification of hyperspectral image. Neural Computing and Applications. 35(10). 7595–7609. 16 indexed citations
7.
Arun, P. V., C. Camino, Krishna Mohan Buddhiraju, et al.. (2021). Multimodal Earth observation data fusion: Graph-based approach in shared latent space. Information Fusion. 78. 20–39. 17 indexed citations
8.
Buddhiraju, Krishna Mohan, et al.. (2020). Urban change detection analysis utilizing multiresolution texture features from polarimetric SAR images. Remote Sensing Applications Society and Environment. 20. 100418–100418. 13 indexed citations
9.
Malhotra, Rakesh, et al.. (2020). Identifying Informal Settlements Using Contourlet Assisted Deep Learning. Sensors. 20(9). 2733–2733. 12 indexed citations
10.
Arun, P. V., Krishna Mohan Buddhiraju, & Alok Porwal. (2019). Capsulenet-Based Spatial–Spectral Classifier for Hyperspectral Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(6). 1849–1865. 28 indexed citations
11.
Arun, P. V., Krishna Mohan Buddhiraju, & Alok Porwal. (2018). Integration of Contextual Knowledge in Unsupervised Subpixel Classification: Semivariogram and Pixel-Affinity Based Approaches. IEEE Geoscience and Remote Sensing Letters. 15(2). 262–266. 5 indexed citations
12.
Buddhiraju, Krishna Mohan, et al.. (2018). Sub-Pixel Mapping with Hyperspectral Images Using Super-Resolution. 44. 2459–2462. 2 indexed citations
13.
Buddhiraju, Krishna Mohan, et al.. (2018). Spatial–spectral ant colony optimization for hyperspectral image classification. International Journal of Remote Sensing. 39(9). 2702–2717. 17 indexed citations
14.
Buddhiraju, Krishna Mohan, et al.. (2016). Robust watermarking of satellite images using texture-based LSB-DWT method. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9880. 98801X–98801X. 2 indexed citations
15.
Banerjee, Biplab & Krishna Mohan Buddhiraju. (2016). Domain Adaptation in the Absence of Source Domain Labeled Samples—A Coclustering-Based Approach. IEEE Geoscience and Remote Sensing Letters. 13(12). 1905–1909. 5 indexed citations
16.
Buddhiraju, Krishna Mohan, et al.. (2015). Noise filtering of remotely sensed images using hybrid wavelet and curvelet transform approach. pami 4. 505–508. 2 indexed citations
17.
Buddhiraju, Krishna Mohan, et al.. (2014). An ant colony optimization based inter domain cluster mapping for domain adaptation in remote sensing. 2158–2161. 5 indexed citations
18.
Banerjee, Biplab, Avik Bhattacharya, & Krishna Mohan Buddhiraju. (2014). A Generic Land-Cover Classification Framework for Polarimetric SAR Images Using the Optimum Touzi Decomposition Parameter Subset—An Insight on Mutual Information-Based Feature Selection Techniques. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(4). 1167–1176. 26 indexed citations
19.
Banerjee, Biplab, et al.. (2014). Change Detection of Desert Sand Dunes: A Remote Sensing Approach. 3(1). 10–22. 11 indexed citations
20.
Banerjee, Biplab, et al.. (2013). Unsupervised Multi-Spectral Satellite Image Segmentation Combining Modified Mean-Shift and a New Minimum Spanning Tree Based Clustering Technique. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(3). 888–894. 19 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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