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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 37 5006 4805 1738 1624 145 26789

John G. Proakis publications per year

The chart shows the history of publications by John G. Proakis between 1968 and 2021, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. John G. Proakis published across 54 years, from 1968 to 2021, averaging 2.8 papers a year. Output peaked at 14 publications in 2000. 1 of the 150 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 1968 to 2021. Vertical axis: number of publications, 0 to 14. Peak 14 publications in 2000. 1968: 1 publication 1969: 0 publications 1970: 1 publication 1971: 0 publications 1972: 0 publications 1973: 1 publication 1974: 0 publications 1975: 0 publications 1976: 0 publications 1977: 0 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 1 publication 1983: 0 publications 1984: 1 publication 1985: 2 publications 1986: 6 publications 1987: 1 publication 1988: 4 publications 1989: 0 publications 1990: 2 publications 1991: 4 publications 1992: 10 publications 1993: 4 publications 1994: 2 publications 1995: 2 publications 1996: 4 publications 1997: 6 publications 1998: 2 publications 1999: 4 publications 2000: 14 publications 2001: 1 publication 2002: 4 publications 2003: 12 publications 2004: 5 publications 2005: 10 publications 2006: 10 publications 2007: 9 publications 2008: 5 publications 2009: 2 publications 2010: 6 publications 2011: 6 publications 2012: 2 publications 2013: 1 publication 2014: 2 publications 2015: 0 publications 2016: 1 publication 2017: 0 publications 2018: 0 publications 2019: 1 publication 2020: 0 publications 2021: 1 publication
1968 2021

150 publications in total across all disciplines

View publications per year as a table
John G. Proakis: publications per year, 1968 to 2021
Year Publications
1968 1
1969 0
1970 1
1971 0
1972 0
1973 1
1974 0
1975 0
1976 0
1977 0
1978 0
1979 0
1980 0
1981 0
1982 1
1983 0
1984 1
1985 2
1986 6
1987 1
1988 4
1989 0
1990 2
1991 4
1992 10
1993 4
1994 2
1995 2
1996 4
1997 6
1998 2
1999 4
2000 14
2001 1
2002 4
2003 12
2004 5
2005 10
2006 10
2007 9
2008 5
2009 2
2010 6
2011 6
2012 2
2013 1
2014 2
2015 0
2016 1
2017 0
2018 0
2019 1
2020 0
2021 1
Total 150
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John G. Proakis 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 John G. Proakis sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 134–153 publications, is where this scientist sits. 34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34–53 publications 1,065+

This scientist: 145 publications — 13th percentile

13% 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
134–153 355 145
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
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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John G. Proakis 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 John G. Proakis sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 37 D-Index, is where this scientist sits. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 37 D-Index — 27th percentile

27% 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 37
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
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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Overview

What is he best known for?

The fields of study he is best known for:

  • Telecommunications
  • Statistics
  • Algorithm

John G. Proakis spends much of his time researching Electronic engineering, Communication channel, Algorithm, Digital signal processing and Data transmission. His Electronic engineering research is multidisciplinary, relying on both Additive white Gaussian noise, Intersymbol interference and Modulation. His Algorithm study combines topics from a wide range of disciplines, such as Interference and Signal processing.

The Signal processing study combines topics in areas such as Linear prediction, Adaptive filter and Linear filter. His Linear prediction research includes themes of Fast Fourier transform and Discrete Fourier transform. John G. Proakis combines subjects such as Software engineering, Computer engineering and Artificial intelligence with his study of Digital signal processing.

His most cited work include:

  • Digital Signal Processing: Principles, Algorithms, and Applications (2908 citations)
  • Discrete-Time Processing of Speech Signals (2187 citations)
  • Communication Systems Engineering (670 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Electronic engineering, Communication channel, Algorithm, Fading and Underwater acoustic communication. His biological study spans a wide range of topics, including Equalization, MIMO, Interference, Orthogonal frequency-division multiplexing and Intersymbol interference. His Communication channel research is multidisciplinary, incorporating elements of Modulation, Control theory and Equalizer.

His Algorithm study frequently draws connections to other fields, such as Signal processing. John G. Proakis has included themes like Digital signal processing, Speech recognition, Blind equalization and Linear filter in his Signal processing study. His study in Underwater acoustic communication is interdisciplinary in nature, drawing from both Transmitter, Underwater acoustics and Communications system.

He most often published in these fields:

  • Electronic engineering (40.91%)
  • Communication channel (37.50%)
  • Algorithm (28.98%)

What were the highlights of his more recent work (between 2004-2019)?

  • Communication channel (37.50%)
  • Electronic engineering (40.91%)
  • Fading (24.43%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Communication channel, Electronic engineering, Fading, Orthogonal frequency-division multiplexing and MIMO. His Communication channel study integrates concerns from other disciplines, such as Algorithm and Control theory. His work in Algorithm addresses subjects such as Rayleigh fading, which are connected to disciplines such as Transmit diversity.

His research in Electronic engineering intersects with topics in Underwater acoustic communication, Rician fading, Convolutional code, Frequency domain and Transmitter. His Fading research incorporates elements of Wireless, Equalization, Decoding methods, Interference and Topology. His biological study deals with issues like Theoretical computer science, which deal with fields such as Digital signal processing.

Between 2004 and 2019, his most popular works were:

  • High-Rate Communication for Underwater Acoustic Channels Using Multiple Transmitters and Space–Time Coding: Receiver Structures and Experimental Results (222 citations)
  • Performance degradation of OFDM systems due to Doppler spreading (213 citations)
  • Constant Envelope OFDM (209 citations)

In his most recent research, the most cited papers focused on:

  • Telecommunications
  • Statistics
  • Algorithm

John G. Proakis mainly focuses on Electronic engineering, Communication channel, Orthogonal frequency-division multiplexing, Underwater acoustic communication and Fading. The study incorporates disciplines such as Wireless, Demodulation and Spectral efficiency in addition to Electronic engineering. His research links Algorithm with Communication channel.

His Algorithm research includes elements of Keying, Telecommunications and Interference. John G. Proakis interconnects Multiplexing and Modulation in the investigation of issues within Orthogonal frequency-division multiplexing. The concepts of his Underwater acoustic communication study are interwoven with issues in Transmitter, MIMO and Link adaptation.

Best Publications

  • Digital Signal Processing: Principles, Algorithms, and Applications

    John G. Proakis;Dimitris G. Manolakis

  • Discrete-Time Processing of Speech Signals

    John R. Deller;John G. Proakis;John H. Hansen

  • Communication Systems Engineering

    John G. Proakis;Masoud Salehi

  • Digital signal processing (3rd ed.): principles, algorithms, and applications

    John G. Proakis;Dimitris G. Manolakis

  • Introduction to Digital Signal Processing

    John G. Proakis;Dimitris G. Manolakis

  • Contemporary Communication Systems Using MATLAB

    John G. Proakis;Masoud Salehi

  • Performance degradation of OFDM systems due to Doppler spreading

    Tiejun Wang;J.G. Proakis;E. Masry;J.R. Zeidler

  • Constant Envelope OFDM

    S.C. Thompson;A.U. Ahmed;J.G. Proakis;J.R. Zeidler

  • Digital Signal Processing Using MATLAB

    Vinay K. Ingle;John G. Proakis

  • High-Rate Communication for Underwater Acoustic Channels Using Multiple Transmitters and Space–Time Coding: Receiver Structures and Experimental Results

    S. Roy;T.M. Duman;V. McDonald;J.G. Proakis

  • Fundamentals of Communication Systems

    John G Proakis;Masoud Salehi

  • Advanced Digital Signal Processing

    John G. Proakis;Fuyun Ling;Charles M. Rader

  • Adaptive OFDM Modulation for Underwater Acoustic Communications: Design Considerations and Experimental Results

    Andreja Radosevic;Rameez Ahmed;Tolga M. Duman;John G. Proakis

  • Algorithms for Statistical Signal Processing

    John G. Proakis;Chrysostomos L. Nikias;Charles M. Rader;Fuyun Ling

  • A recursive modified Gram-Schmidt algorithm for least- squares estimation

    Fuyun Ling;D. Manolakis;J. Proakis

  • Shallow-Water Acoustic Networks†

    John G. Proakis;Joseph A. Rice;Ethem M. Sozer;Milica Stojanovic

  • Statistical characterization and capacity of shallow water acoustic channels

    Andreja Radosevic;John G. Proakis;Milica Stojanovic

  • Digital Signal Processing 4th Edition

    John G. Proakis;Dimitris K. Manolakis

  • Evolution of Seaweb underwater acoustic networking

    J. Rice;B. Creber;C. Fletcher;P. Baxley

  • Wiley encyclopedia of telecommunications

    John G. Proakis

Frequent Co-Authors

Milica Stojanovic
Milica Stojanovic Northeastern University
Tolga M. Duman
Tolga M. Duman Bilkent University
Chrysostomos L. Nikias
Chrysostomos L. Nikias University of Southern California
Carla-Fabiana Chiasserini
Carla-Fabiana Chiasserini Polytechnic University of Turin
Ramesh R. Rao
Ramesh R. Rao University of California, San Diego
L.B. Milstein
L.B. Milstein University of California, San Diego
Elias Masry
Elias Masry University of California, San Diego
Athina P. Petropulu
Athina P. Petropulu Rutgers, The State University of New Jersey
Bhaskar D. Rao
Bhaskar D. Rao University of California, San Diego
Michael A. Jensen
Michael A. Jensen Brigham Young University

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