Justin Romberg

12.2k total citations · 2 hit papers
138 papers, 7.4k citations indexed

About

Justin Romberg is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, Justin Romberg has authored 138 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 50 papers in Computational Mechanics and 25 papers in Electrical and Electronic Engineering. Recurrent topics in Justin Romberg's work include Sparse and Compressive Sensing Techniques (49 papers), Image and Signal Denoising Methods (37 papers) and Blind Source Separation Techniques (18 papers). Justin Romberg is often cited by papers focused on Sparse and Compressive Sensing Techniques (49 papers), Image and Signal Denoising Methods (37 papers) and Blind Source Separation Techniques (18 papers). Justin Romberg collaborates with scholars based in United States, China and United Kingdom. Justin Romberg's co-authors include Emmanuel J. Candès, Terence Tao, Richard G. Baraniuk, Hyeokho Choi, M. Salman Asif, Mark A. Davenport, Ali Ahmed, Michael B. Wakin, Benjamin Recht and Christopher J. Rozell and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Justin Romberg

124 papers receiving 7.0k 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.

Stable signal recovery from incomplete and inaccurate measurements

2006 4.6k citations Justin Romberg et al. profile →
An Overview of Low-Rank Matrix Recovery From Incomplete Observations

2016 236 citations Mark A. Davenport, Justin Romberg profile →

Peers

Countries citing papers authored by Justin Romberg

Since Specialization

Citations

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

Fields of papers citing papers by Justin Romberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Romberg

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

#	Work	Indexed citations
1	Leveraging sound speed dynamics and generative deep learning for ray-based ocean acoustic tomography 2025 ·JASA Express Letters ·(unknown), (unknown), (unknown), (unknown), (unknown), Justin Romberg, Karim G. Sabra	1
2	Decentralized and Privacy-Preserving Learning of Approximate Stackelberg Solutions in Energy Trading Games With Demand Response Aggregators 2024 ·IEEE Transactions on Systems Man and Cybernetics Systems ·(unknown), Justin Romberg, Kyriakos G. Vamvoudakis, Dimitri N. Mavris	3
3	Iterative Broadband Source Localization 2023 ·IEEE Journal on Selected Areas in Information Theory ·(unknown), (unknown), (unknown), Christopher Hood, Mark A. Davenport, Justin Romberg	1
4	Globally Optimal Assignment Algorithm for Collective Object Transport Using Air–Ground Multirobot Teams 2023 ·IEEE Transactions on Control Systems Technology ·(unknown), Justin Romberg, Magnus Egerstedt	0
5	Spherical Harmonic-Based Anisotropic Point Scatterer Models for Radar Applications Using Inverse Optimization 2022 ·IEEE Transactions on Antennas and Propagation ·Eric Huang, (unknown), Justin Romberg, Saibal Mukhopadhyay, Madhavan Swaminathan	1
6	Optimal Convex Lifted Sparse Phase Retrieval and PCA With an Atomic Matrix Norm Regularizer 2022 ·IEEE Transactions on Information Theory ·(unknown), Justin Romberg, Mark A. Davenport	2
7	Finite-Time Convergence Rates of Decentralized Stochastic Approximation With Applications in Multi-Agent and Multi-Task Learning 2022 ·IEEE Transactions on Automatic Control ·(unknown), Thinh T. Doan, Justin Romberg	4
8	Finite-Sample Analysis of Two-Time-Scale Natural Actor–Critic Algorithm 2022 ·IEEE Transactions on Automatic Control ·(unknown), Thinh T. Doan, Justin Romberg, Siva Theja Maguluri	13
9	Machine learning approaches for ray-based ocean acoustic tomography 2022 ·The Journal of the Acoustical Society of America ·(unknown), (unknown), (unknown), Saibal Mukhopadhyay, Justin Romberg, Karim G. Sabra	9
10	Streaming Solutions for Time-Varying Optimization Problems 2022 ·IEEE Transactions on Signal Processing ·(unknown), Justin Romberg	3
11	In-Field Performance Optimization for mm-Wave Mixed-Signal Doherty Power Amplifiers: A Bandit Approach 2020 ·IEEE Transactions on Circuits and Systems I Regular Papers ·Shaojie Xu, Fei Wang, Hua Wang, Justin Romberg	10
12	A Hardware-Friendly Approach Towards Sparse Neural Networks Based on LFSR-Generated Pseudo-Random Sequences 2020 ·IEEE Transactions on Circuits and Systems I Regular Papers ·(unknown), (unknown), Brian Crafton, Justin Romberg, Arijit Raychowdhury	10
13	Convergence Rates of Distributed Gradient Methods Under Random Quantization: A Stochastic Approximation Approach 2020 ·IEEE Transactions on Automatic Control ·Thinh T. Doan, Siva Theja Maguluri, Justin Romberg	45
14	A 17.8-MS/s Compressed Sensing Radar Accelerator Using a Spiking Neural Network 2020 ·IEEE Journal of Solid-State Circuits ·(unknown), Matthew O’Shaughnessy, Christopher J. Rozell, Justin Romberg, Michael P. Flynn	2
15	A FerroFET-Based In-Memory Processor for Solving Distributed and Iterative Optimizations via Least-Squares Method 2019 ·IEEE Journal on Exploratory Solid-State Computational Devices and Circuits ·(unknown), Asif Islam Khan, Suman Datta, Arijit Raychowdhury, Muya Chang, Kai Ni, Matthew Jerry, (unknown), (unknown), (unknown), Justin Romberg, Vijaykrishnan Narayanan	7
16	OPTIMO: A 65-nm 279-GOPS/W 16-b Programmable Spatial-Array Processor with On-Chip Network for Solving Distributed Optimizations via the Alternating Direction Method of Multipliers 2019 ·IEEE Journal of Solid-State Circuits ·Muya Chang, (unknown), Justin Romberg, Arijit Raychowdhury	2
17	Convergence Rates of Distributed TD(0) with Linear Function Approximation for Multi-Agent Reinforcement Learning 2019 ·arXiv (Cornell University) ·Thinh T. Doan, Siva Theja Maguluri, Justin Romberg	2
18	ROAST: Rapid Orthogonal Approximate Slepian Transform 2018 ·IEEE Transactions on Signal Processing ·Zhihui Zhu, (unknown), Michael B. Wakin, Mark A. Davenport, Justin Romberg	2
19	Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation 2016 ·International Conference on Artificial Intelligence and Statistics ·Sohail Bahmani, Justin Romberg	22
20	Hidden Markov Tree Models for Complex Wavelet Transforms 2002 ·IEEE Transactions on Signal Processing ·Justin Romberg, Hyeokho Choi, Richard G. Baraniuk, N. Kingsbury	12

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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