Amir Adler

1.8k total citations · 1 hit paper
39 papers, 997 citations indexed

About

Amir Adler is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Amir Adler has authored 39 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Signal Processing, 14 papers in Computational Mechanics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Amir Adler's work include Blind Source Separation Techniques (15 papers), Direction-of-Arrival Estimation Techniques (12 papers) and Speech and Audio Processing (12 papers). Amir Adler is often cited by papers focused on Blind Source Separation Techniques (15 papers), Direction-of-Arrival Estimation Techniques (12 papers) and Speech and Audio Processing (12 papers). Amir Adler collaborates with scholars based in Israel, United States and France. Amir Adler's co-authors include Mauricio Araya‐Polo, Taylor Dahlke, Joseph Jennings, Michael Elad, M. Wax, Yacov Hel-Or, Tomaso Poggio, Maria G. Jafari, Mark D. Plumbley and Valentin Emiya and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Amir Adler

34 papers receiving 965 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.

Deep-learning tomography

2017 380 citations Mauricio Araya‐Polo, Joseph Jennings et al. The Leading Edge profile →

Peers

Amir Adler

GEOPH

OE

CVPR

AI

SP

Hang Wang China

Ernie Esser Canada

J. Bee Bednar United States

B. Barkat Singapore

Liuqing Yang China

Jean‐Louis Lacoume France

Gilles Hennenfent Canada

Ray Abma United States

Daniel Trad Canada

M. P. Ekstrom United States

Hang Wang China

Amir Adler

516 ×1.2

GEOPH

245 ×0.9

OE

507 ×2.1

CVPR

378 ×1.6

AI

55 ×0.3

SP

Citations per year, relative to Amir Adler Amir Adler (= 1×) peers Hang Wang

Countries citing papers authored by Amir Adler

Since Specialization

Citations

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

Fields of papers citing papers by Amir Adler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Adler

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Adler. A scholar is included among the top collaborators of Amir Adler 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 Amir Adler. Amir Adler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Giri, Amita, et al.. (2025). Localization of Realistic Spatial Patches of Complex Source Activity in MEG and EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 4241–4254.

2.

Giri, Amita, et al.. (2025). Flexible Alternating Projection for Spatially Extended Brain Source Localization. IEEE Transactions on Biomedical Engineering. 72(4). 1486–1497. 1 indexed citations

3.

Lapeyre, Corentin, et al.. (2024). Extending the machine-learned optimised stable Taylor-Galerkin scheme to solve the Burgers' equation. Journal of Computational Physics. 523. 113635–113635.

4.

Wax, M. & Amir Adler. (2024). Outliers Detection by Signal Subspace Matching. IEEE Transactions on Signal Processing. 72. 2498–2511. 2 indexed citations

5.

Giri, Amita, et al.. (2024). Localization of Spatially Extended Brain Sources by Flexible Alternating Projection (FLEX-AP). 1–5. 2 indexed citations

6.

Adler, Amir, M. Wax, & Dimitrios Pantazis. (2023). Localization of brain signals by alternating projection. Biomedical Signal Processing and Control. 90. 105796–105796. 2 indexed citations

7.

Cheng, Lionel Tim‐Ee, Corentin Lapeyre, Guillaume Daviller, et al.. (2023). Learning an optimised stable Taylor-Galerkin convection scheme based on a local spectral model for the numerical error dynamics. Journal of Computational Physics. 493. 112430–112430. 4 indexed citations

8.

Giri, Amita, John C. Mosher, Amir Adler, & Dimitrios Pantazis. (2023). An F-ratio-based method for estimating the number of active sources in MEG. Frontiers in Human Neuroscience. 17. 4 indexed citations

9.

Wax, M. & Amir Adler. (2023). Subspace Outliers Detection by Signal Subspace Matching. 2043–2047. 1 indexed citations

10.

Wax, M. & Amir Adler. (2023). FIR-SIMO channel order determination by invariant-signal-subspace matching. Digital Signal Processing. 134. 103914–103914.

11.

Adler, Amir, M. Wax, & Dimitrios Pantazis. (2022). Brain Source Localization by Alternating Projection. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–5. 3 indexed citations

12.

Adler, Amir, et al.. (2022). Encoder–Decoder Architecture for 3D Seismic Inversion. Sensors. 23(1). 61–61. 8 indexed citations

13.

Wax, M. & Amir Adler. (2020). Localization of multiple sources with known waveforms by array response matching. Signal Processing. 177. 107721–107721. 1 indexed citations

14.

Wax, M. & Amir Adler. (2020). Direction of arrival estimation in the presence of model errors by signal subspace matching. Signal Processing. 181. 107900–107900. 9 indexed citations

15.

Adler, Amir & M. Wax. (2019). Constant modulus algorithms via low-rank approximation. Signal Processing. 160. 263–270. 7 indexed citations

16.

Adler, Amir & M. Wax. (2019). Direct Localization by Partly Calibrated Arrays: A Relaxed Maximum Likelihood Solution. 1–5. 7 indexed citations

17.

Araya‐Polo, Mauricio, Joseph Jennings, Amir Adler, & Taylor Dahlke. (2017). Deep-learning tomography. The Leading Edge. 37(1). 58–66. 380 indexed citations breakdown →

18.

Adler, Amir. (2015). Covariance-Assisted Matching Pursuit. IEEE Signal Processing Letters. 23(1). 149–153. 9 indexed citations

19.

Adler, Amir, Michael Elad, Yacov Hel-Or, & Ehud Rivlin. (2014). Sparse Coding with Anomaly Detection. Journal of Signal Processing Systems. 79(2). 179–188. 72 indexed citations

20.

Adler, Amir, Michael Elad, & Yacov Hel-Or. (2012). Probabilistic Subspace Clustering Via Sparse Representations. IEEE Signal Processing Letters. 20(1). 63–66. 29 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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