Rajan Joshi

2.1k total citations · 1 hit paper
34 papers, 1.5k citations indexed

About

Rajan Joshi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Rajan Joshi has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 22 papers in Signal Processing and 5 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Rajan Joshi's work include Advanced Data Compression Techniques (18 papers), Video Coding and Compression Technologies (15 papers) and Advanced Vision and Imaging (12 papers). Rajan Joshi is often cited by papers focused on Advanced Data Compression Techniques (18 papers), Video Coding and Compression Technologies (15 papers) and Advanced Vision and Imaging (12 papers). Rajan Joshi collaborates with scholars based in United States, United Kingdom and France. Rajan Joshi's co-authors include Majid Rabbani, T.R. Fischer, Jizheng Xu, Robert Cohen, Marta Karczewicz, Joel Solé, R.H. Bamberger, Hamid Jafarkhani, Michael W. Marcellin and James H. Kasner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Genetics and IEEE Transactions on Image Processing.

In The Last Decade

Rajan Joshi

34 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An overview of the JPEG 2000 still image compression standard

2002 450 citations Rajan Joshi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rajan Joshi United States	15	1.3k	824	108	89	52	34	1.5k
J.-R. Ohm Germany	11	2.0k 1.5×	739 0.9×	280 2.6×	108 1.2×	72 1.4×	24	2.2k
M. Gorkani United States	6	2.2k 1.6×	347 0.4×	245 2.3×	212 2.4×	56 1.1×	7	2.3k
Chiao-Fe Shu United States	12	1.0k 0.8×	203 0.2×	66 0.6×	124 1.4×	54 1.0×	14	1.1k
Jaap Haitsma Netherlands	18	1.6k 1.2×	1.1k 1.3×	34 0.3×	264 3.0×	49 0.9×	28	1.8k
Heung-Kyu Lee South Korea	25	2.2k 1.6×	296 0.4×	291 2.7×	156 1.8×	12 0.2×	140	2.4k
Zhenxing Qian China	26	2.2k 1.6×	144 0.2×	77 0.7×	314 3.5×	43 0.8×	103	2.3k
Chuanmin Jia China	17	1.0k 0.8×	487 0.6×	49 0.5×	114 1.3×	19 0.4×	79	1.2k
Yuriy A. Reznik United States	16	950 0.7×	417 0.5×	57 0.5×	131 1.5×	71 1.4×	100	1.1k
W.A.C. Fernando United Kingdom	18	991 0.7×	527 0.6×	203 1.9×	27 0.3×	49 0.9×	137	1.2k
Olivier Déforges France	18	821 0.6×	344 0.4×	104 1.0×	220 2.5×	15 0.3×	106	1.1k

Countries citing papers authored by Rajan Joshi

Since Specialization

Citations

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

Fields of papers citing papers by Rajan Joshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajan Joshi

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

Joshi, Rajan, et al.. (2020). Mesh Coding Extensions to MPEG-I V-PCC. 1–5. 9 indexed citations

2.

Joshi, Rajan, et al.. (2017). Alternative Polyadenylation Directs Tissue-Specific miRNA Targeting in Caenorhabditis elegans Somatic Tissues. Genetics. 206(2). 757–774. 56 indexed citations

3.

Joshi, Rajan, et al.. (2017). A new display stream compression standard under development in VESA. 29–29. 6 indexed citations

4.

Li, Zhu, et al.. (2017). Embedded binary tree for dynamic point cloud geometry compression with graph signal resampling and prediction. 1–4. 3 indexed citations

5.

Pu, Wei, Marta Karczewicz, Rajan Joshi, et al.. (2016). Palette Mode Coding in HEVC Screen Content Coding Extension. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 6(4). 420–432. 50 indexed citations

6.

Kang, Je‐Won, et al.. (2014). Explicit residual DPCM for screen contents coding. 1–2. 3 indexed citations

7.

Guo, Liwei, Wei Pu, Feng Zou, et al.. (2014). Color palette for screen content coding. 5556–5560. 29 indexed citations

8.

Zhang, Li, Je‐Won Kang, Xin Zhao, Ying Chen, & Rajan Joshi. (2013). Neighboring block based disparity vector derivation for 3D-AVC. 1–6. 3 indexed citations

9.

Solé, Joel, Rajan Joshi, Wei-Jung Chien, & Marta Karczewicz. (2012). Transform coefficient coding in HEVC. 461–464. 8 indexed citations

10.

Karczewicz, Marta, et al.. (2010). A Hybrid Video Coder Based on Extended Macroblock Sizes, Improved Interpolation, and Flexible Motion Representation. IEEE Transactions on Circuits and Systems for Video Technology. 20(12). 1698–1708. 34 indexed citations

11.

Karczewicz, Marta, Peisong Chen, Yan Ye, & Rajan Joshi. (2009). R-D based quantization in H.264. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7443. 744314–744314. 7 indexed citations

12.

Joshi, Rajan. (2006). On-demand rendering of an oblique slice through 3D volumetric data using JPEG2000 client-server framework. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6145. 614508–614508. 1 indexed citations

13.

Spaulding, Kevin E., et al.. (2003). Using a Residual Image to Extend the Color Gamut and Dynamic Range of an sRGB Image.. PICS. 307–314. 20 indexed citations

14.

Spaulding, Kevin E., et al.. (2003). Extending the color gamut and dynamic range of an sRGB image using a residual image. Color Research & Application. 28(4). 251–266. 8 indexed citations

15.

Joshi, Rajan, et al.. (2002). An overview of the JPEG2000 still image compression standard. 16 indexed citations

16.

Joshi, Rajan, T.R. Fischer, & R.H. Bamberger. (2002). Optimum classification in subband coding of images. 2. 883–887. 20 indexed citations

17.

Joshi, Rajan, T.R. Fischer, Michael W. Marcellin, & James H. Kasner. (2002). Arithmetic and trellis coded quantization. 233–233. 1 indexed citations

18.

Joshi, Rajan, Hamid Jafarkhani, James H. Kasner, et al.. (1997). Comparison of different methods of classification in subband coding of images. IEEE Transactions on Image Processing. 6(11). 1473–1486. 118 indexed citations

19.

Joshi, Rajan & T.R. Fischer. (1995). Comparison of generalized Gaussian and Laplacian modeling in DCT image coding. IEEE Signal Processing Letters. 2(5). 81–82. 81 indexed citations

20.

Joshi, Rajan, et al.. (1991). A new MMSE encoding algorithm for vector quantization. 645–648 vol. 1. 7 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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