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James H. McClellan

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 53 2387 2286 926 867 310 11786

James H. McClellan publications per year

The chart shows the history of publications by James H. McClellan between 1972 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. James H. McClellan published across 54 years, from 1972 to 2025, averaging 5.9 papers a year. Output peaked at 24 publications in 2006. 1 of the 320 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1972 to 2025. Vertical axis: number of publications, 0 to 24. Peak 24 publications in 2006. 1972: 4 publications 1973: 3 publications 1974: 0 publications 1975: 0 publications 1976: 1 publication 1977: 2 publications 1978: 2 publications 1979: 4 publications 1980: 4 publications 1981: 3 publications 1982: 6 publications 1983: 5 publications 1984: 0 publications 1985: 0 publications 1986: 2 publications 1987: 1 publication 1988: 1 publication 1989: 1 publication 1990: 5 publications 1991: 6 publications 1992: 2 publications 1993: 4 publications 1994: 5 publications 1995: 7 publications 1996: 14 publications 1997: 6 publications 1998: 6 publications 1999: 6 publications 2000: 11 publications 2001: 8 publications 2002: 10 publications 2003: 4 publications 2004: 13 publications 2005: 12 publications 2006: 24 publications 2007: 20 publications 2008: 9 publications 2009: 6 publications 2010: 6 publications 2011: 10 publications 2012: 14 publications 2013: 9 publications 2014: 7 publications 2015: 11 publications 2016: 4 publications 2017: 14 publications 2018: 12 publications 2019: 11 publications 2020: 0 publications 2021: 4 publications 2022: 0 publications 2023: 0 publications 2024: 0 publications 2025: 1 publication
1972 2025

320 publications in total across all disciplines

View publications per year as a table
James H. McClellan: publications per year, 1972 to 2025
Year Publications
1972 4
1973 3
1974 0
1975 0
1976 1
1977 2
1978 2
1979 4
1980 4
1981 3
1982 6
1983 5
1984 0
1985 0
1986 2
1987 1
1988 1
1989 1
1990 5
1991 6
1992 2
1993 4
1994 5
1995 7
1996 14
1997 6
1998 6
1999 6
2000 11
2001 8
2002 10
2003 4
2004 13
2005 12
2006 24
2007 20
2008 9
2009 6
2010 6
2011 10
2012 14
2013 9
2014 7
2015 11
2016 4
2017 14
2018 12
2019 11
2020 0
2021 4
2022 0
2023 0
2024 0
2025 1
Total 320
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James H. McClellan 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 James H. McClellan 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, 294–313 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: 310 publications — 59th percentile

59% 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
294–313 300 310
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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James H. McClellan 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 James H. McClellan 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, 53 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: 53 D-Index — 66th percentile

66% 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 53
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
Download as CSV

Research.com Recognitions

  • 1985 - IEEE Fellow For contributions to digital filter design and digital signal processing

Overview

James H. McClellan is affiliated with the Georgia Institute of Technology in the United States. Their research spans several fields, primarily centered around computer science, earth and planetary sciences, and engineering. The scientist's work covers various subfields such as signal processing, geophysics, computer vision and pattern recognition, artificial intelligence, and computational mechanics.

The main topics explored in their research include direction-of-arrival estimation techniques, advanced data compression techniques, image and signal denoising methods, blind source separation techniques, seismology and earthquake studies, seismic imaging and inversion techniques, and earthquake and tectonic studies.

Recent publications by James H. McClellan are diverse and cover multiple research areas, including seismic data, electromagnetic induction data, and heat pipe oscillations. Notable papers include:

  • "A Multitone Model-Based Seismic Data Compression," 2021, IEEE Transactions on Systems Man and Cybernetics Systems
  • "A multi-channel approach for automatic microseismic event association using RANSAC-based Arrival Time Event Clustering (RATEC)," 2021, Earthquake Research Advances
  • "Performance Bounds for Target Parameter Estimation From Frequency-Domain Electromagnetic Induction Data," 2021, IEEE Transactions on Geoscience and Remote Sensing
  • "Performance Analysis for Estimating a Target's Relaxation Frequencies From Frequency-Domain Electromagnetic Induction Data," 2021, IEEE Geoscience and Remote Sensing Letters
  • "Self-sustaining oscillations in a heat pipe using a binary liquid mixture," 2025, Physics of Fluids

Frequent co-authors contributing to these works include Andrew J. Kerr, Waymond R. Scott, Bo Liu, Mohamed Mohandes, and Hilal H. Nuha.

James H. McClellan's papers have been published across a diverse set of venues, including:

  • IEEE Transactions on Systems Man and Cybernetics Systems
  • Earthquake Research Advances
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • Physics of Fluids

Their contributions to the technical community were recognized with the IEEE Fellow award in 1985 for work in digital filter design and digital signal processing.

Best Publications

  • A computer program for designing optimum FIR linear phase digital filters

    J. McClellan;T. Parks;L. Rabiner

  • Chebyshev Approximation for Nonrecursive Digital Filters with Linear Phase

    Unknown

  • TOPS: new DOA estimator for wideband signals

    Yeo-Sun Yoon;L.M. Kaplan;J.H. McClellan

  • A Compressive Sensing Data Acquisition and Imaging Method for Stepped Frequency GPRs

    A.C. Gurbuz;J.H. McClellan;W.R. Scott

  • A unified approach to the design of optimum FIR linear-phase digital filters

    J. McClellan;T. Parks

  • Complex Chebyshev approximation for FIR filter design

    L.J. Karam;J.H. McClellan

  • The discrete rotational Fourier transform

    B. Santhanam;J.H. McClellan

  • Multidimensional spectral estimation

    J.H. McClellan

  • A compressive beamforming method

    A.C. Gurbuz;J.H. McClellan;V. Cevher

  • Estimating slowness dispersion from arrays of sonic logging waveforms

    S. W. Lang;A. L. Kurkjian;J. H. McClellan;C. F. Morris

  • Multistatic Ground-Penetrating Radar Experiments

    T. Counts;A.C. Gurbuz;W.R. Scott;J.H. McClellan

  • Signal Processing First

    James H. McClellan;Ronald W. Schafer;Mark A. Yoder

  • Reducible polynomials in more than one variable

    M.H. Hayes;J.H. McClellan

  • A program for the design of linear phase finite impulse response digital filters

    Unknown

  • Frequency estimation with maximum entropy spectral estimators

    S. Lang;J. McClellan

  • Compressive sensing for subsurface imaging using ground penetrating radar

    Ali C. Gurbuz;James H. McClellan;Waymond R. Scott

  • Convergence of iterative nonexpansive signal reconstruction algorithms

    V. Tom;T. Quatieri;M. Hayes;J. McClellan

  • Spectral estimation for sensor arrays

    S. Lang;J. McClellan

  • Dsp First: A Multimedia Approach

    James H. McClellan;Ronald W. Shafer;M. A. Yoder

  • Vehicle Speed Estimation Using Acoustic Wave Patterns

    V. Cevher;R. Chellappa;J.H. McClellan

  • Vector radix fast Fourier transform

    D. Harris;J. McClellan;D. Chan;H. Schuessler

  • Seismic data denoising through multiscale and sparsity-promoting dictionary learning

    Lingchen Zhu;Entao Liu;James H. McClellan

  • A personal history of the Parks-McClellan algorithm

    J.H. McClellan;T.W. Parks

Frequent Co-Authors

Volkan Cevher
Volkan Cevher École Polytechnique Fédérale de Lausanne
Lance Kaplan
Lance Kaplan United States Army Research Laboratory
Ronald W. Schafer
Ronald W. Schafer Georgia Institute of Technology
Brian L. Evans
Brian L. Evans The University of Texas at Austin
Lina J. Karam
Lina J. Karam Lebanese American University
Rama Chellappa
Rama Chellappa Johns Hopkins University
Zhigang Peng
Zhigang Peng Georgia Institute of Technology
Oliver Brand
Oliver Brand Georgia Institute of Technology
Omer T. Inan
Omer T. Inan Georgia Institute of Technology
Lawrence Carin
Lawrence Carin Duke University

External Links

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Related Online Degrees & Career Pathways

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