Ajit Bopardikar

559 total citations
26 papers, 409 citations indexed

About

Ajit Bopardikar is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Molecular Biology. According to data from OpenAlex, Ajit Bopardikar has authored 26 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Signal Processing and 6 papers in Molecular Biology. Recurrent topics in Ajit Bopardikar's work include Image and Signal Denoising Methods (7 papers), Advanced Data Compression Techniques (5 papers) and Digital Filter Design and Implementation (5 papers). Ajit Bopardikar is often cited by papers focused on Image and Signal Denoising Methods (7 papers), Advanced Data Compression Techniques (5 papers) and Digital Filter Design and Implementation (5 papers). Ajit Bopardikar collaborates with scholars based in India, United States and South Korea. Ajit Bopardikar's co-authors include Raghuveer Rao, Kenneth P. Swartz, Vincent J. Samar, Deep Bera, Kyusang Lee, TaeJin Ahn, Vijay N. Tiwari, Harsha L. Rao, Venkataraman Parthasarathy and Andrew Perkis and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Signal Processing and Brain and Language.

In The Last Decade

Ajit Bopardikar

20 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ajit Bopardikar India 7 254 110 70 64 53 26 409
Chang’an A. Zhan China 13 207 0.8× 34 0.3× 56 0.8× 59 0.9× 45 0.8× 30 359
Valérie Louis-Dorr France 13 183 0.7× 132 1.2× 21 0.3× 47 0.7× 33 0.6× 42 456
Accardo Agostino Italy 4 218 0.9× 90 0.8× 34 0.5× 21 0.3× 78 1.5× 6 360
Tiejia Jiang China 15 391 1.5× 119 1.1× 53 0.8× 42 0.7× 46 0.9× 57 538
Vipin Gupta India 11 520 2.0× 260 2.4× 71 1.0× 36 0.6× 165 3.1× 22 702
Susmita Saha Australia 7 173 0.7× 41 0.4× 34 0.5× 46 0.7× 16 0.3× 12 318
Montri Phothisonothai Thailand 9 176 0.7× 52 0.5× 46 0.7× 61 1.0× 16 0.3× 42 294
Shujuan Geng China 7 297 1.2× 180 1.6× 46 0.7× 44 0.7× 83 1.6× 13 374
Malihe Sabeti Iran 12 567 2.2× 140 1.3× 130 1.9× 62 1.0× 177 3.3× 58 812
Dongmei Cai China 5 439 1.7× 268 2.4× 123 1.8× 52 0.8× 96 1.8× 8 542

Countries citing papers authored by Ajit Bopardikar

Since Specialization
Citations

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

Fields of papers citing papers by Ajit Bopardikar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajit Bopardikar

This figure shows the co-authorship network connecting the top 25 collaborators of Ajit Bopardikar. A scholar is included among the top collaborators of Ajit Bopardikar 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 Ajit Bopardikar. Ajit Bopardikar 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.
Horsch, Alexander, et al.. (2024). Propagating Transparency: A Deep Dive into the Interpretability of Neural Networks. Duo Research Archive (University of Oslo). 4(2). 1–18. 4 indexed citations
2.
Pradhan, Zia S., et al.. (2021). Comparison of the Performance of a Novel, Smartphone-based, Head-mounted Perimeter (GearVision) With the Humphrey Field Analyzer. Journal of Glaucoma. 30(4). e146–e152. 10 indexed citations
3.
Pradhan, Zia S., et al.. (2019). Development and Clinical Validation of GearVision - A Smartphone Based Head Mounted Perimeter. 267. 1–4. 3 indexed citations
4.
Goyal, Ashish, Ajit Bopardikar, & Vijay N. Tiwari. (2018). Estimation of Spherical Refractive Errors Using Virtual Reality Headset. PubMed. 2018. 4973–7976. 1 indexed citations
5.
Bopardikar, Ajit, et al.. (2016). Context based compression of FASTQ data. 12. 97–100. 1 indexed citations
6.
Bopardikar, Ajit, et al.. (2011). No-Reference Compression of Genomic Data Stored in FASTQ Format. 147–150. 18 indexed citations
7.
Raghavendra, B. S. & Ajit Bopardikar. (2011). Identification of CpG islands in DNA sequences using supervised classification. 196. 958–960.
8.
9.
Bopardikar, Ajit, et al.. (2010). Algorithm for DNA sequence compression based on prediction of mismatch bases and repeat location. 851–852. 9 indexed citations
10.
Maiti, Kausik, et al.. (2010). Alpha model based mixed pixel processing for view synthesis. 1–4.
11.
Bopardikar, Ajit, et al.. (2010). Detail warping based video super-resolution using image guides. 18. 2009–2012. 4 indexed citations
12.
Bopardikar, Ajit, et al.. (2005). A temporal error concealment algorithm based on structural alignment for packet video. 373–377. 2 indexed citations
13.
Babu, R. Venkatesh, Ajit Bopardikar, & Andrew Perkis. (2004). A Perceptual No-Reference Blockiness Metric for JPEG Images.. 455–460. 4 indexed citations
14.
Perkis, Andrew, et al.. (2004). Fine-granular scalable and error resilient audio coding by tree-structured quantization. 4. iv–333. 1 indexed citations
15.
16.
Bopardikar, Ajit & Raghuveer Rao. (2002). Multidimensional PRCC filter banks and matched sampling systems. 529–532.
17.
Bopardikar, Ajit. (2000). Sampling systems matched to input processes and image classes. RIT Scholar Works (Rochester Institute of Technology).
18.
Bopardikar, Ajit, et al.. (2000). Matched sampling systems, relation to wavelets and implementation using PRCC filter banks. IEEE Transactions on Signal Processing. 48(8). 2269–2278. 2 indexed citations
19.
Samar, Vincent J., Ajit Bopardikar, Raghuveer Rao, & Kenneth P. Swartz. (1999). Wavelet Analysis of Neuroelectric Waveforms: A Conceptual Tutorial. Brain and Language. 66(1). 7–60. 278 indexed citations
20.
Bopardikar, Ajit & Raghuveer Rao. (1999). <title>Optimal approximation-interpolation sampling systems: relation to wavelets and image coding</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3723. 470–480.

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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