Satish Mulleti

438 total citations
43 papers, 276 citations indexed

About

Satish Mulleti is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Satish Mulleti has authored 43 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Signal Processing, 18 papers in Computational Mechanics and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Satish Mulleti's work include Sparse and Compressive Sensing Techniques (17 papers), Blind Source Separation Techniques (11 papers) and Image and Signal Denoising Methods (8 papers). Satish Mulleti is often cited by papers focused on Sparse and Compressive Sensing Techniques (17 papers), Blind Source Separation Techniques (11 papers) and Image and Signal Denoising Methods (8 papers). Satish Mulleti collaborates with scholars based in India, Israel and United States. Satish Mulleti's co-authors include Chandra Sekhar Seelamantula, Yonina C. Eldar, Rong Fu, Chiranjib Saha, Eli Shoshan, Ahmet M. Elbir, Regev Cohen, Harpreet S. Dhillon, Anubha Gupta and Tianyao Huang and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Satish Mulleti

35 papers receiving 271 citations

Peers

Satish Mulleti

CM

CVPR

SP

BE

EEE

Mark Borgerding United States

Aboozar Ghaffari Iran

Irena Maravić United States

Kfir Gedalyahu Israel

Ashkan Panahi Sweden

Pavel Rajmic Czechia

Ali Hormati Switzerland

Xuemei Chen United States

Masoumeh Azghani Iran

Leonidas Spinoulas United States

Mark Borgerding United States

Satish Mulleti

164 ×1.6

CM

78 ×0.8

CVPR

66 ×0.8

SP

88 ×1.3

BE

167 ×2.7

EEE

Citations per year, relative to Satish Mulleti Satish Mulleti (= 1×) peers Mark Borgerding

Countries citing papers authored by Satish Mulleti

Since Specialization

Citations

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

Fields of papers citing papers by Satish Mulleti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satish Mulleti

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

Mulleti, Satish, et al.. (2025). Robust Sensor Selection By Deep Unfolding. 1–5.

2.

Mulleti, Satish, et al.. (2025). Power-Efficient Sampling: Towards low-power analog-to-digital converters. IEEE Signal Processing Magazine. 42(2). 106–125. 1 indexed citations

3.

Mulleti, Satish, et al.. (2025). Low-Rate Modulo Folded ADC for Detecting Linearly Modulated Communication Symbols. 1–5.

4.

Arora, Amit & Satish Mulleti. (2025). A Lowrate Variable-Bias Integrate-and-Fire Time Encoding Machine. 1–5.

5.

Mulleti, Satish, et al.. (2025). Greedy Selection for Heterogeneous Sensors. IEEE Transactions on Signal Processing. 73. 1394–1409.

6.

Mulleti, Satish & Yonina C. Eldar. (2024). Modulo Sampling of FRI Signals. IEEE Access. 12. 60369–60384. 6 indexed citations

7.

Rajwade, Ajit, et al.. (2024). Unlabelled Sensing with Priors: Algorithm and Bounds. 30. 9551–9555. 1 indexed citations

8.

Mulleti, Satish, et al.. (2024). Unlimited sampling beyond modulo. Applied and Computational Harmonic Analysis. 74. 101715–101715. 2 indexed citations

9.

Mulleti, Satish, et al.. (2024). Unsupervised Model-based Learning for Simultaneous Video Deflickering and Deblotching. 4105–4113.

10.

Mulleti, Satish, et al.. (2023). A hardware prototype of wideband high‐dynamic range analog‐to‐digital converter. IET Circuits Devices & Systems. 17(4). 181–192. 8 indexed citations

11.

Mulleti, Satish, et al.. (2023). Lasso-Based Fast Residual Recovery For Modulo Sampling. 1–5. 10 indexed citations

12.

Elbir, Ahmet M., Satish Mulleti, Regev Cohen, Rong Fu, & Yonina C. Eldar. (2019). Deep-Sparse Array Cognitive Radar. DSpace - Düzce (Duzce University). 1–4. 10 indexed citations

13.

Mulleti, Satish, et al.. (2018). On Two-Dimensional Hilbert Integral Equations, Generalized Minimum-Phase Signals, and Phase Retrieval. IEEE Transactions on Signal Processing. 66(14). 3906–3917. 2 indexed citations

14.

Mulleti, Satish, Amrinder Singh, Varsha Brahmkhatri, et al.. (2017). Super-Resolved Nuclear Magnetic Resonance Spectroscopy. Scientific Reports. 7(1). 9651–9651. 9 indexed citations

15.

Mulleti, Satish & Chandra Sekhar Seelamantula. (2017). Paley–Wiener Characterization of Kernels for Finite-Rate-of-Innovation Sampling. IEEE Transactions on Signal Processing. 65(22). 5860–5872. 17 indexed citations

16.

Mulleti, Satish, et al.. (2016). FRI Sampling on Structured Nonuniform Grids—Application to Super-Resolved Optical Imaging. IEEE Transactions on Signal Processing. 64(15). 3841–3853. 9 indexed citations

17.

Mulleti, Satish & Chandra Sekhar Seelamantula. (2016). Sampling and reconstruction of time-limited signals using sum-of-sincs kernel.

18.

Mulleti, Satish, et al.. (2014). Ultrasound image reconstruction using the finite-rate-of-innovation principle. 1728–1732. 16 indexed citations

19.

Mulleti, Satish & Chandra Sekhar Seelamantula. (2014). Ellipse fitting using finite rate of innovation principles. 7576. 5824–5828. 2 indexed citations

20.

Seelamantula, Chandra Sekhar & Satish Mulleti. (2014). Super-Resolution Reconstruction in Frequency-Domain Optical-Coherence Tomography Using the Finite-Rate-of-Innovation Principle. IEEE Transactions on Signal Processing. 62(19). 5020–5029. 37 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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