Mayank Tiwari

787 total citations
32 papers, 569 citations indexed

About

Mayank Tiwari is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Mayank Tiwari has authored 32 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 12 papers in Media Technology and 8 papers in Signal Processing. Recurrent topics in Mayank Tiwari's work include Image Enhancement Techniques (11 papers), Advanced Image Processing Techniques (10 papers) and Video Coding and Compression Technologies (8 papers). Mayank Tiwari is often cited by papers focused on Image Enhancement Techniques (11 papers), Advanced Image Processing Techniques (10 papers) and Video Coding and Compression Technologies (8 papers). Mayank Tiwari collaborates with scholars based in India, United States and Hong Kong. Mayank Tiwari's co-authors include Bhupendra Gupta, B. M. Gupta, Pamela C. Cosman, Manish Shrivastava, Tarun Kumar Agarwal, Theodore Groves, Felix T.S. Chan, Ravi Shankar, May Ho and Thomas Butler and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and American Journal of Tropical Medicine and Hygiene.

In The Last Decade

Mayank Tiwari

32 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mayank Tiwari India 13 332 130 88 71 68 32 569
Nan Meng Hong Kong 13 255 0.8× 104 0.8× 23 0.3× 50 0.7× 20 0.3× 44 622
Rinaldi Munir Indonesia 12 252 0.8× 47 0.4× 11 0.1× 311 4.4× 39 0.6× 111 624
Abhinav Kumar India 15 195 0.6× 25 0.2× 251 2.9× 381 5.4× 18 0.3× 38 955
Han Zhu China 12 746 2.2× 63 0.5× 8 0.1× 147 2.1× 73 1.1× 26 914
Jim Z.C. Lai Taiwan 14 317 1.0× 29 0.2× 5 0.1× 199 2.8× 103 1.5× 36 721
Ashraf Afifi Saudi Arabia 13 416 1.3× 43 0.3× 14 0.2× 132 1.9× 90 1.3× 32 560
R. F. Gibadullin Russia 14 95 0.3× 18 0.1× 11 0.1× 31 0.4× 57 0.8× 29 326
Nabil A. Ismail Egypt 12 129 0.4× 12 0.1× 16 0.2× 207 2.9× 135 2.0× 60 474
D. T. Lee Taiwan 11 173 0.5× 22 0.2× 12 0.1× 229 3.2× 54 0.8× 29 489
Shumoos Al-Fahdawi United Kingdom 11 208 0.6× 13 0.1× 272 3.1× 169 2.4× 169 2.5× 16 674

Countries citing papers authored by Mayank Tiwari

Since Specialization
Citations

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

Fields of papers citing papers by Mayank Tiwari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayank Tiwari

This figure shows the co-authorship network connecting the top 25 collaborators of Mayank Tiwari. A scholar is included among the top collaborators of Mayank Tiwari 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 Mayank Tiwari. Mayank Tiwari 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.
Gupta, Bhupendra, et al.. (2019). An Efficient Approach to Restore Naturalness of Non-uniform Illumination Images. Circuits Systems and Signal Processing. 38(7). 3384–3398. 7 indexed citations
2.
Gupta, B. M. & Mayank Tiwari. (2019). Color retinal image enhancement using luminosity and quantile based contrast enhancement. Multidimensional Systems and Signal Processing. 30(4). 1829–1837. 44 indexed citations
3.
Gupta, Bhupendra & Mayank Tiwari. (2018). An empirical cross-validation of denoising filters for PRNU extraction. Forensic Science International. 292. 110–114. 2 indexed citations
4.
Tiwari, Mayank & Bhupendra Gupta. (2018). Image features dependant correlation-weighting function for efficient PRNU based source camera identification. Forensic Science International. 285. 111–120. 13 indexed citations
5.
Tiwari, Mayank, et al.. (2018). An image processing and computer vision framework for efficient robotic sketching. Procedia Computer Science. 133. 284–289. 6 indexed citations
6.
Tiwari, Mayank & Bhupendra Gupta. (2017). Maximum Absolute Relative Differences Statistic for Removing Random-Valued Impulse Noise from Given Image. Circuits Systems and Signal Processing. 37(5). 2098–2116. 2 indexed citations
7.
Gupta, B. M. & Mayank Tiwari. (2016). A tool supported approach for brightness preserving contrast enhancement and mass segmentation of mammogram images using histogram modified grey relational analysis. Multidimensional Systems and Signal Processing. 28(4). 1549–1567. 27 indexed citations
8.
Gupta, Bhupendra & Mayank Tiwari. (2015). Minimum mean brightness error contrast enhancement of color images using adaptive gamma correction with color preserving framework. Optik. 127(4). 1671–1676. 44 indexed citations
9.
Tiwari, Mayank & Bhupendra Gupta. (2015). Image Denoising Using Spatial Gradient Based Bilateral Filter and Minimum Mean Square Error Filtering. Procedia Computer Science. 54. 638–645. 7 indexed citations
10.
Agarwal, Tarun Kumar, et al.. (2014). Modified Histogram based contrast enhancement using Homomorphic Filtering for medical images. 964–968. 42 indexed citations
11.
Tiwari, Mayank, et al.. (2013). An Improved Watchdog Intrusion Detection Systems In Manet. 2(3). 7 indexed citations
12.
Tiwari, Mayank, Theodore Groves, & Pamela C. Cosman. (2011). Bit-Rate Allocation for Multiple Video Streams Using a Pricing-Based Mechanism. IEEE Transactions on Image Processing. 20(11). 3219–3230. 8 indexed citations
13.
Tiwari, Mayank, Theodore Groves, & Pamela C. Cosman. (2009). Pricing-based decentralized rate allocation for multiple video streams. 15. 3065–3068. 3 indexed citations
14.
Tiwari, Mayank, Theodore Groves, & Pamela C. Cosman. (2009). Competitive Equilibrium Bitrate Allocation for Multiple Video Streams. IEEE Transactions on Image Processing. 19(4). 1009–1021. 21 indexed citations
15.
Tiwari, Mayank, Trish Groves, & Pamela C. Cosman. (2009). Delay Constrained Multiplexing of Video Streams Using Dual-Frame Video Coding. IEEE Transactions on Image Processing. 19(4). 1022–1035. 3 indexed citations
16.
Tiwari, Mayank, Theodore Groves, & Pamela C. Cosman. (2008). Buffer constrained rate control for low bitrate dual-frame video coding. 2484–2487. 2 indexed citations
17.
Tiwari, Mayank, Theodore Groves, & Pamela C. Cosman. (2008). Bitrate allocation for multiple video streams at competitive equilibria. 15. 2248–2252. 2 indexed citations
18.
Tiwari, Mayank, Theodore Groves, & Pamela C. Cosman. (2008). Multiplexing video streams using dual-frame video coding. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 2. 693–696. 5 indexed citations
19.
Tiwari, Mayank & Pamela C. Cosman. (2006). Dual Frame Video Coding with Pulsed Quality and a Lookahead Window. 372–381. 7 indexed citations
20.
Butler, Thomas, et al.. (1995). Treatment of Typhoid Fever: Randomized Trial of a Three-Day Course of Ceftriaxone Versus a Fourteen-Day Course of Chloramphenicol. American Journal of Tropical Medicine and Hygiene. 52(2). 162–165. 43 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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