M. P. Pavan Kumar

533 total citations
16 papers, 268 citations indexed

About

M. P. Pavan Kumar is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Plant Science. According to data from OpenAlex, M. P. Pavan Kumar has authored 16 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 3 papers in Plant Science. Recurrent topics in M. P. Pavan Kumar's work include Advanced Vision and Imaging (7 papers), Image Enhancement Techniques (5 papers) and Advanced Image Processing Techniques (4 papers). M. P. Pavan Kumar is often cited by papers focused on Advanced Vision and Imaging (7 papers), Image Enhancement Techniques (5 papers) and Advanced Image Processing Techniques (4 papers). M. P. Pavan Kumar collaborates with scholars based in India and United Kingdom. M. P. Pavan Kumar's co-authors include Andrew Zisserman, Philip H. S. Torr, H. S. Nagendraswamy, B. Poornima, Gunjan Verma, Rudy Bunel, Philip H. S. Torr, Pushmeet Kohli, Anand Singh Jalal and H. P. Vinutha and has published in prestigious journals such as International Journal of Computer Vision, The Journal of Supercomputing and Journal of Electronic Imaging.

In The Last Decade

M. P. Pavan Kumar

16 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. P. Pavan Kumar India 7 222 53 19 19 13 16 268
Chen Guo China 8 148 0.7× 54 1.0× 26 1.4× 24 1.3× 11 0.8× 24 218
Dongchen Han China 7 142 0.6× 61 1.2× 41 2.2× 21 1.1× 7 0.5× 15 241
Songsong Wu China 11 194 0.9× 58 1.1× 35 1.8× 10 0.5× 19 1.5× 42 276
Sohaib Khan Pakistan 9 270 1.2× 25 0.5× 18 0.9× 86 4.5× 17 1.3× 18 313
Shiaw-Shian Yu Taiwan 7 273 1.2× 52 1.0× 72 3.8× 18 0.9× 8 0.6× 15 305
Kiana Ehsani United States 6 150 0.7× 69 1.3× 6 0.3× 15 0.8× 8 0.6× 13 200
Zhenzhong Kuang China 10 185 0.8× 86 1.6× 13 0.7× 21 1.1× 7 0.5× 33 268
M. Alder Australia 11 143 0.6× 104 2.0× 28 1.5× 12 0.6× 14 1.1× 41 260

Countries citing papers authored by M. P. Pavan Kumar

Since Specialization
Citations

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

Fields of papers citing papers by M. P. Pavan Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. P. Pavan Kumar. 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 M. P. Pavan Kumar. The network helps show where M. P. Pavan Kumar may publish in the future.

Co-authorship network of co-authors of M. P. Pavan Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of M. P. Pavan Kumar. A scholar is included among the top collaborators of M. P. Pavan Kumar 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 M. P. Pavan Kumar. M. P. Pavan Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Kumar, M. P. Pavan, et al.. (2023). Extreme learning machine for solving paddy nutrient deficiencies in Davangere region. 3(2). 157–176. 1 indexed citations
2.
Verma, Gunjan & M. P. Pavan Kumar. (2023). Under-water image enhancement algorithms: A review. AIP conference proceedings. 2721. 40031–40031. 2 indexed citations
3.
Poornima, B., et al.. (2022). Novel hybrid ARIMA–BiLSTM model for forecasting of rice blast disease outbreaks for sustainable rice production. Iran Journal of Computer Science. 6(2). 147–159. 1 indexed citations
4.
Jalal, Anand Singh, et al.. (2022). A deep learning approach for the early diagnosis of Parkinson's disease using brain MRI scans. 7(1). 64–64. 3 indexed citations
5.
Verma, Gunjan, et al.. (2022). FCNN: fusion-based underwater image enhancement using multilayer convolution neural network. Journal of Electronic Imaging. 31(6). 5 indexed citations
6.
Poornima, B., et al.. (2021). Predictive Model for Rice Blast Disease on Climate Data Using Long Short-Term Memory and Multi-Layer Perceptron: An Empirical Study on Davangere District. Annals of the Romanian Society for Cell Biology. 25(6). 4703–4722. 2 indexed citations
7.
Kumar, M. P. Pavan, et al.. (2021). Structure-preserving NPR framework for image abstraction and stylization. The Journal of Supercomputing. 77(8). 8445–8513. 27 indexed citations
8.
Kumar, M. P. Pavan, et al.. (2021). A Refined Structure Preserving Image Abstraction Framework as a Pre-Processing Technique for Desire Focusing on Prominent Structure and Artistic Stylization. Vietnam Journal of Computer Science. 8(4). 529–583. 3 indexed citations
9.
10.
Kumar, M. P. Pavan, et al.. (2021). HDR and image abstraction framework for dirt free line drawing to convey the shapes from blatant range images. Multidimensional Systems and Signal Processing. 33(2). 401–458. 1 indexed citations
11.
Kumar, M. P. Pavan, et al.. (2019). A comprehensive survey on non-photorealistic rendering and benchmark developments for image abstraction and stylization. Iran Journal of Computer Science. 2(3). 131–165. 23 indexed citations
12.
Bunel, Rudy, et al.. (2017). Piecewise Linear Neural Networks verification: A comparative study. arXiv (Cornell University). 16 indexed citations
13.
Kumar, M. P. Pavan, Philip H. S. Torr, & Andrew Zisserman. (2007). Learning Layered Motion Segmentations of Video. International Journal of Computer Vision. 76(3). 301–319. 63 indexed citations
14.
Kumar, M. P. Pavan, Philip H. S. Torr, & Andrew Zisserman. (2005). Learning layered motion segmentations of video. 33–40 Vol. 1. 44 indexed citations
15.
Kumar, M. P. Pavan, Philip H. S. Torr, & Andrew Zisserman. (2004). Learning Layered Pictorial Structures from Video.. 158–164. 20 indexed citations
16.
Kumar, M. P. Pavan, Philip H. S. Torr, & Andrew Zisserman. (2004). Extending Pictorial Structures for Object Recognition. 81.1–81.10. 55 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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