Joshua N. Ash

4.2k total citations · 1 hit paper
42 papers, 3.2k citations indexed

About

Joshua N. Ash is a scholar working on Aerospace Engineering, Media Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Joshua N. Ash has authored 42 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Aerospace Engineering, 12 papers in Media Technology and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Joshua N. Ash's work include Remote-Sensing Image Classification (12 papers), Indoor and Outdoor Localization Technologies (11 papers) and Advanced SAR Imaging Techniques (11 papers). Joshua N. Ash is often cited by papers focused on Remote-Sensing Image Classification (12 papers), Indoor and Outdoor Localization Technologies (11 papers) and Advanced SAR Imaging Techniques (11 papers). Joshua N. Ash collaborates with scholars based in United States and Israel. Joshua N. Ash's co-authors include Randolph L. Moses, N.S. Correal, Spyros Kyperountas, Alfred O. Hero, Neal Patwari, Emre Ertin, Lee C. Potter, Christian D. Austin, Joseph Meola and Michael T. Eismann and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

In The Last Decade

Joshua N. Ash

40 papers receiving 3.0k citations

Hit Papers

Locating the nodes: coope... 2005 2026 2012 2019 2005 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua N. Ash United States 15 2.5k 1.4k 1.2k 786 635 42 3.2k
Andrea Giorgetti Italy 29 2.4k 1.0× 1.3k 1.0× 368 0.3× 906 1.2× 498 0.8× 146 3.3k
Lutz Lampe Canada 44 6.5k 2.6× 2.8k 2.0× 647 0.5× 693 0.9× 433 0.7× 414 7.2k
James A. Ritcey United States 28 2.4k 1.0× 1.9k 1.4× 466 0.4× 460 0.6× 469 0.7× 180 3.4k
Reiner S. Thomä Germany 33 3.9k 1.6× 837 0.6× 296 0.2× 1.6k 2.1× 267 0.4× 346 4.6k
Sofiène Affes Canada 33 3.3k 1.3× 1.8k 1.3× 465 0.4× 857 1.1× 273 0.4× 352 4.5k
Hermann Rohling Germany 32 2.1k 0.9× 1.4k 1.0× 210 0.2× 2.1k 2.7× 551 0.9× 159 4.4k
Pau Closas United States 26 1.5k 0.6× 531 0.4× 282 0.2× 1.6k 2.1× 960 1.5× 219 2.8k
Bernard H. Fleury Denmark 29 3.3k 1.3× 1.1k 0.8× 160 0.1× 1.1k 1.4× 248 0.4× 149 3.9k
Qun Wan China 22 1.5k 0.6× 327 0.2× 416 0.3× 846 1.1× 663 1.0× 270 2.4k
Choi Look Law Singapore 25 2.4k 1.0× 469 0.3× 345 0.3× 1.3k 1.6× 200 0.3× 182 2.8k

Countries citing papers authored by Joshua N. Ash

Since Specialization
Citations

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

Fields of papers citing papers by Joshua N. Ash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua N. Ash. 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 Joshua N. Ash. The network helps show where Joshua N. Ash may publish in the future.

Co-authorship network of co-authors of Joshua N. Ash

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua N. Ash. A scholar is included among the top collaborators of Joshua N. Ash 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 Joshua N. Ash. Joshua N. Ash 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
2.
Tucker, David, Joshua N. Ash, & Lee C. Potter. (2022). SAR Coherent Change Detection With Variational Expectation Maximization. IEEE Transactions on Aerospace and Electronic Systems. 59(3). 2163–2175. 1 indexed citations
4.
Ash, Joshua N. & Joseph Meola. (2016). Temperature-emissivity separation for LWIR sensing using MCMC. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9840. 98401O–98401O. 4 indexed citations
5.
Potter, Lee C., et al.. (2015). A Bayesian model for highly accelerated phase-contrast MRI. Magnetic Resonance in Medicine. 76(2). 689–701. 12 indexed citations
6.
Ash, Joshua N.. (2014). A unifying perspective of coherent and non-coherent change detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9093. 909309–909309. 1 indexed citations
7.
Ash, Joshua N.. (2013). Joint imaging and change detection for robust exploitation in interrupted SAR environments. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8746. 87460J–87460J. 10 indexed citations
8.
Potter, Lee C., et al.. (2013). Estimation of spin-echo relaxation time. Journal of Magnetic Resonance. 237. 17–22. 4 indexed citations
9.
Meola, Joseph, Michael T. Eismann, Randolph L. Moses, & Joshua N. Ash. (2012). Application of Model-Based Change Detection to Airborne VNIR/SWIR Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 50(10). 3693–3706. 24 indexed citations
10.
Ash, Joshua N. & Joseph Meola. (2012). Incorporating spatial structure into hyperspectral scene analysis. 3756. 5–8. 2 indexed citations
11.
Eismann, M.T., et al.. (2011). Detecting Changes in Hyperspectral Imagery Using a Model-Based Approach. IEEE Transactions on Geoscience and Remote Sensing. 49(7). 2647–2661. 39 indexed citations
12.
Ash, Joshua N.. (2011). An Autofocus Method for Backprojection Imagery in Synthetic Aperture Radar. IEEE Geoscience and Remote Sensing Letters. 9(1). 104–108. 122 indexed citations
13.
Meola, Joseph, Michael T. Eismann, Randolph L. Moses, & Joshua N. Ash. (2011). Modeling and estimation of signal-dependent noise in hyperspectral imagery. Applied Optics. 50(21). 3829–3829. 40 indexed citations
14.
Austin, Christian D., Joshua N. Ash, & Randolph L. Moses. (2011). Performance analysis of sparse 3D SAR imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8051. 80510D–80510D. 1 indexed citations
15.
Meola, Joseph, Michael T. Eismann, Randolph L. Moses, & Joshua N. Ash. (2010). A model-based approach to hyperspectral change detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7695. 76951G–76951G. 7 indexed citations
16.
Siegal‐Gaskins, Dan, Joshua N. Ash, & Sean Crosson. (2009). Model-Based Deconvolution of Cell Cycle Time-Series Data Reveals Gene Expression Details at High Resolution. PLoS Computational Biology. 5(8). e1000460–e1000460. 10 indexed citations
17.
Austin, Christian D., Emre Ertin, Joshua N. Ash, & Randolph L. Moses. (2009). On the Relation Between Sparse Sampling and Parametric Estimation. 387–392. 7 indexed citations
18.
Ash, Joshua N. & Randolph L. Moses. (2008). On optimal anchor node placement in sensor localization by optimization of subspace principal angles. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 2289–2292. 50 indexed citations
19.
Fasih, Ahmed R., Emre Ertin, Joshua N. Ash, & Randolph L. Moses. (2008). SAR focusing performance for moving objects with random motion components. 1628–1632. 8 indexed citations
20.
Ash, Joshua N. & Lee C. Potter. (2007). Robust System Multiangulation Using Subspace Methods. 290. 61–68. 6 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026