Robert M. Gray publications per year

The chart shows the history of publications by Robert M. Gray between 1970 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Robert M. Gray published across 56 years, from 1970 to 2025, averaging 8.1 papers a year. Output peaked at 20 publications in 1991. 17 of the 451 publications appeared in the last two years.

No. of publications

5 10 15 20

1970 2025

451 publications in total across all disciplines

View publications per year as a table

Robert M. Gray: publications per year, 1970 to 2025
Year	Publications
1970	1
1971	3
1972	3
1973	5
1974	6
1975	8
1976	4
1977	8
1978	7
1979	5
1980	10
1981	5
1982	11
1983	1
1984	7
1985	6
1986	9
1987	8
1988	10
1989	12
1990	18
1991	20
1992	18
1993	14
1994	20
1995	14
1996	11
1997	13
1998	9
1999	10
2000	15
2001	12
2002	7
2003	11
2004	19
2005	15
2006	8
2007	4
2008	9
2009	7
2010	6
2011	13
2012	2
2013	0
2014	0
2015	2
2016	0
2017	2
2018	0
2019	0
2020	2
2021	9
2022	7
2023	8
2024	8
2025	9
Total	451

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Robert M. Gray publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Robert M. Gray sits on this spectrum.

No. of scientists

100 200 300 400

34–53 publications 1,065+

This scientist: 305 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

View publications distribution as a table

Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications	Scientists	This scientist
34–53	24
54–73	52
74–93	114
94–113	203
114–133	269
134–153	355
154–173	403
174–193	445
194–213	430
214–233	431
234–253	399
254–273	366
274–293	335
294–313	300	305
314–333	276
334–353	250
354–373	214
374–393	187
394–413	152
414–433	169
434–453	147
454–473	111
474–493	117
494–513	103
514–533	99
534–553	92
554–573	75
574–593	58
594–613	69
614–633	50
634–653	62
654–673	54
674–693	44
694–713	37
714–733	28
734–753	26
754–773	26
774–793	19
794–813	23
814–833	20
834–853	16
854–873	20
874–893	11
894–913	11
914–933	16
934–953	13
954–973	10
974–993	11
994–1,013	9
1,014–1,033	9
1,034–1,053	10
1,054–1,064	6
1,065+	99

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Robert M. Gray D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Robert M. Gray sits on this spectrum.

No. of scientists

50 100 150 200 250

30 D-Index 111+

This scientist: 74 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

View D-Index distribution as a table

Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index	Scientists	This scientist
30	178
31	257
32	263
33	262
34	244
35	236
36	211
37	220
38	214
39	214
40	205
41	187
42	194
43	201
44	155
45	189
46	148
47	160
48	134
49	130
50	141
51	156
52	108
53	130
54	112
55	97
56	111
57	102
58	108
59	120
60	103
61	93
62	92
63	74
64	77
65	73
66	64
67	69
68	60
69	39
70	57
71	59
72	46
73	49
74	38	74
75	35
76	32
77	35
78	31
79	22
80	34
81	31
82	34
83	23
84	18
85	30
86	19
87	19
88	20
89	8
90	17
91	7
92	14
93	9
94	15
95	10
96	12
97	10
98	10
99	12
100	16
101	5
102	7
103	7
104	8
105	9
106	13
107	4
108	5
109	10
110	8
111+	96

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Research.com Recognitions

2008 - IEEE Claude E. Shannon Award
2008 - Jack S. Kilby Signal Processing Medal For contributions to vector quantization and signal compression techniques.
2007 - Member of the National Academy of Engineering For contributions to information theory and data compression.
1981 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Robert M. Gray is affiliated with Stanford University in the United States. Their primary fields of study include Physics and Astronomy with 23 publications, and Computer Science with 17 publications. Within these areas, their main subfields of research are Atomic and Molecular Physics, and Optics; Electrical and Electronic Engineering; Artificial Intelligence; Computer Vision and Pattern Recognition; and Molecular Biology.

The research topics covered by Robert M. Gray reflect a focus on advanced photonics and computational methods, including:

Advanced Fiber Laser Technologies
Photonic and Optical Devices
Photorefractive and Nonlinear Optics
Generative Adversarial Networks and Image Synthesis
Laser-Matter Interactions and Applications
Mechanical and Optical Resonators
Bioinformatics and Genomic Networks

They have co-authored numerous works with frequent collaborators such as Alireza Marandi, Luis Ledezma, Ryoto Sekine, Parashkev Nachev, and A. P. Roy.

Robert M. Gray's work has been published in a variety of venues. Regular publication sources include arXiv (Cornell University) with 15 papers, Neuro-Oncology with 2 papers, Nature Communications, Brain, and OPAL (Open@LaTrobe) (La Trobe University).

Recent published papers highlight a range of interests at the intersection of nanophotonics and biomedical analysis. Examples include:

Visible-to-mid-IR tunable frequency comb in nanophotonics, 2023, Nature Communications
Brain tumour genetic network signatures of survival, 2023, Brain
Femtojoule, femtosecond all-optical switching in lithium niobate nanophotonics, 2021, OPAL (Open@LaTrobe) (La Trobe University)
All-optical ultrafast ReLU function for energy-efficient nanophotonic deep learning, 2022, arXiv (Cornell University)
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models, 2022, arXiv (Cornell University)

Robert M. Gray has received several awards recognizing contributions to signal processing and information theory. These honors include the IEEE Claude E. Shannon Award and the Jack S. Kilby Signal Processing Medal in 2008, the latter awarded for work on vector quantization and signal compression techniques. They became a member of the National Academy of Engineering in 2007 for contributions to information theory and data compression. Additionally, they were named a Fellow of the John Simon Guggenheim Memorial Foundation in 1981.

Best Publications

An Algorithm for Vector Quantizer Design

Y. Linde;A. Buzo;R. Gray

11225
Citations
Vector Quantization and Signal Compression

Allen Gersho;Robert M. Gray

9896
Citations
Vector quantization

R. Gray

4500
Citations
Entropy and information theory

Robert M. Gray

2731
Citations
Toeplitz and circulant matrices

Robert M. Gray

1773
Citations
Speech coding based upon vector quantization

A. Buzo;A. Gray;R. Gray;J. Markel

984
Citations
Entropy-constrained vector quantization

P.A. Chou;T. Lookabaugh;R.M. Gray

896
Citations
On the asymptotic eigenvalue distribution of Toeplitz matrices

R. Gray

716
Citations
An Improvement of the Minimum Distortion Encoding Algorithm for Vector Quantization

Chang-Da Bei;R. Gray

674
Citations
Quantization noise spectra

R.M. Gray

671
Citations
Optimal pruning with applications to tree-structured source coding and modeling

P.A. Chou;T. Lookabaugh;R.M. Gray

644
Citations
Probability, random processes, and ergodic properties

Robert M. Gray

558
Citations
Distortion measures for speech processing

R. Gray;A. Buzo;A. Gray;Y. Matsuyama

544
Citations
Dithered quantizers

R.M. Gray;T.G. Stockham

526
Citations
Oversampled Sigma-Delta Modulation

R. Gray

503
Citations
Source coding theory

Robert M. Gray

495
Citations
Quantization

Unknown

489
Citations
Image classification by a two-dimensional hidden Markov model

Jia Li;A. Najmi;R.M. Gray

463
Citations
Coding for noisy channels

Robert M. Gray

452
Citations
Communication systems: An introduction to signals and noise in electrical communication

Unknown

445
Citations
Evaluating quality of compressed medical images: SNR, subjective rating, and diagnostic accuracy

P.C. Cosman;R.M. Gray;R.A. Olshen

411
Citations
Finite-state-vector quantization for waveform coding

J. Foster;R. Gray;M. Dunham

376
Citations

Frequent Co-Authors

Pamela C. Cosman University of California, San Diego

Eve A. Riskin University of Washington

Jia Li Pennsylvania State University

Philip A. Chou Google (United States)

Allen Gersho University of California, Santa Barbara

Tamas Linder Queen's University

Michelle Effros California Institute of Technology

Maya R. Gupta Google (United States)

Joseph W. Goodman Stanford University

Sheila S. Hemami Triple Ring Technologies (United States)

External Links

Wikipedia of Robert M. Gray Personal website of Robert M. Gray Google Scholar page

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