Joseph F. Murray

2.5k total citations · 1 hit paper
22 papers, 1.5k citations indexed

About

Joseph F. Murray is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Joseph F. Murray has authored 22 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 6 papers in Computational Mechanics. Recurrent topics in Joseph F. Murray's work include Sparse and Compressive Sensing Techniques (6 papers), Blind Source Separation Techniques (6 papers) and Image and Signal Denoising Methods (4 papers). Joseph F. Murray is often cited by papers focused on Sparse and Compressive Sensing Techniques (6 papers), Blind Source Separation Techniques (6 papers) and Image and Signal Denoising Methods (4 papers). Joseph F. Murray collaborates with scholars based in United States, France and Germany. Joseph F. Murray's co-authors include Kenneth Kreutz-Delgado, Gordon F. Hughes, Te-Won Lee, Kjersti Engan, Terrence J. Sejnowski, Bhaskar D. Rao, Charles Elkan, Reinhard E. Flick, Viren Jain and Valentin Zhigulin and has published in prestigious journals such as Surface Science, Neural Computation and Journal of Machine Learning Research.

In The Last Decade

Joseph F. Murray

20 papers receiving 1.4k citations

Hit Papers

Dictionary Learning Algorithms for Sparse Representation 2003 2026 2010 2018 2003 100 200 300 400 500
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.

  1. Dictionary Learning Algorithms for Sparse Representation
    2003 550 citations Kenneth Kreutz-Delgado, Joseph F. Murray et al. Neural Computation profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph F. Murray United States 14 426 357 355 299 270 22 1.5k
Nash Borges United States 6 527 1.2× 186 0.5× 190 0.5× 669 2.2× 593 2.2× 9 1.7k
David K. Hammond United States 9 512 1.2× 267 0.7× 126 0.4× 685 2.3× 121 0.4× 22 1.7k
Özgür Çetin United States 12 549 1.3× 192 0.5× 185 0.5× 919 3.1× 780 2.9× 27 2.0k
Xuemin Chi China 7 551 1.3× 182 0.5× 189 0.5× 638 2.1× 575 2.1× 14 1.8k
Konstantinos Koutroumbas Greece 17 500 1.2× 165 0.5× 84 0.2× 613 2.1× 274 1.0× 71 1.7k
T. Pavlidis United States 22 1.6k 3.7× 149 0.4× 128 0.4× 267 0.9× 174 0.6× 54 2.3k
Gaetano Scarano Italy 20 324 0.8× 206 0.6× 126 0.4× 141 0.5× 372 1.4× 149 1.4k
Guowei Yang China 25 1.0k 2.4× 344 1.0× 121 0.3× 338 1.1× 118 0.4× 147 2.1k
Dmitry Ulyanov Russia 6 1.6k 3.8× 207 0.6× 195 0.5× 356 1.2× 299 1.1× 6 2.5k
Michael Lindenbaum Israel 27 1.9k 4.4× 616 1.7× 335 0.9× 518 1.7× 201 0.7× 93 3.0k

Countries citing papers authored by Joseph F. Murray

Since Specialization
Citations

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

Fields of papers citing papers by Joseph F. Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph F. Murray. 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 Joseph F. Murray. The network helps show where Joseph F. Murray may publish in the future.

Co-authorship network of co-authors of Joseph F. Murray

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph F. Murray. A scholar is included among the top collaborators of Joseph F. Murray 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 Joseph F. Murray. Joseph F. Murray 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.
Dreyer, Michael, et al.. (2022). Imaging three phases of iodine on Ag (111) using low-temperature scanning tunneling microscopy. Surface Science. 721. 122081–122081. 3 indexed citations
2.
Kreutz-Delgado, Kenneth, et al.. (2010). A unified FOCUSS framework for learning sparse dictionaries and non-squared error. 6065. 2037–2041. 1 indexed citations
3.
Murray, Joseph F. & Kenneth Kreutz-Delgado. (2007). Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning. Neural Computation. 19(9). 2301–2352. 22 indexed citations
4.
Jain, Viren, Joseph F. Murray, Srinivas C. Turaga, et al.. (2007). Supervised Learning of Image Restoration with Convolutional Networks. 1–8. 146 indexed citations
5.
Murray, Joseph F. & Kenneth Kreutz-Delgado. (2006). Learning Sparse Overcomplete Codes for Images. The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology. 46(1). 1–13. 36 indexed citations
6.
Murray, Joseph F. & Kenneth Kreutz-Delgado. (2006). Learning Sparse Overcomplete Codes for Images. The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology. 45(1-2). 97–110. 24 indexed citations
7.
Murray, Joseph F., Gordon F. Hughes, & Kenneth Kreutz-Delgado. (2005). Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application. Journal of Machine Learning Research. 6(27). 783–816. 198 indexed citations
8.
Hughes, Gordon F. & Joseph F. Murray. (2005). Reliability and security of RAID storage systems and D2D archives using SATA disk drives. ACM Transactions on Storage. 1(1). 95–107. 29 indexed citations
9.
Murray, Joseph F. & Kenneth Kreutz-Delgado. (2005). Visual recognition, inference and coding using learned sparse overcomplete representations. 183–183. 15 indexed citations
10.
Murray, Joseph F. & Kenneth Kreutz-Delgado. (2005). Sparse image coding using learned overcomplete dictionaries. 579–588. 15 indexed citations
11.
Kreutz-Delgado, Kenneth, Joseph F. Murray, Bhaskar D. Rao, et al.. (2003). Dictionary Learning Algorithms for Sparse Representation. Neural Computation. 15(2). 349–396. 550 indexed citations breakdown →
12.
Flick, Reinhard E., et al.. (2003). Trends in United States Tidal Datum Statistics and Tide Range. Journal of Waterway Port Coastal and Ocean Engineering. 129(4). 155–164. 106 indexed citations
13.
Murray, Joseph F., Gordon F. Hughes, & Kenneth Kreutz-Delgado. (2003). Hard drive failure prediction using non-parametric statistical methods. 68 indexed citations
14.
Hughes, Gordon F., Joseph F. Murray, Kenneth Kreutz-Delgado, & Charles Elkan. (2002). Improved disk-drive failure warnings. IEEE Transactions on Reliability. 51(3). 350–357. 157 indexed citations
15.
Murray, Joseph F. & Kenneth Kreutz-Delgado. (2001). An improved FOCUSS-based learning algorithm for solving sparse linear inverse problems. 347–351 vol.1. 54 indexed citations
16.
Murray, Joseph F., et al.. (1983). Spielberger's State-Trait Anxiety Inventory: Measuring Anxiety with and without an Audience during Performance on a Stabilometer. Perceptual and Motor Skills. 57(1). 15–18. 32 indexed citations
17.
Murray, Joseph F.. (1982). Construction of a Stabilometer Capable of Indicating the Variability of Non-Level Performance. Perceptual and Motor Skills. 55(3_suppl). 1211–1215. 6 indexed citations
18.
Murray, Joseph F.. (1982). Measurement for Warm-Up Decrement: A Review. Perceptual and Motor Skills. 55(1). 253–254.
19.
Murray, Joseph F.. (1981). Effects of Whole vs Part Method of Training on Transfer of Learning. Perceptual and Motor Skills. 53(3). 883–889. 6 indexed citations
20.
Murray, Joseph F.. (1980). The Activity-Set Hypothesis for Warm-up Decrement in a Movement Balance Task. Journal of Motor Behavior. 12(4). 262–269. 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.

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