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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 68 988 942 420 386 436 26018
Computer Science 68 2038 1974 1032 992 438 26048

Rick S. Blum publications per year

The chart shows the history of publications by Rick S. Blum between 1981 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Rick S. Blum published across 45 years, from 1981 to 2025, averaging 10.5 papers a year. Output peaked at 29 publications in 2018. 18 of the 472 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1981 to 2025. Vertical axis: number of publications, 0 to 29. Peak 29 publications in 2018. 1981: 1 publication 1982: 0 publications 1983: 1 publication 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 2 publications 1990: 1 publication 1991: 2 publications 1992: 1 publication 1993: 2 publications 1994: 6 publications 1995: 10 publications 1996: 6 publications 1997: 6 publications 1998: 6 publications 1999: 10 publications 2000: 15 publications 2001: 13 publications 2002: 14 publications 2003: 13 publications 2004: 17 publications 2005: 21 publications 2006: 19 publications 2007: 23 publications 2008: 18 publications 2009: 22 publications 2010: 16 publications 2011: 19 publications 2012: 13 publications 2013: 9 publications 2014: 16 publications 2015: 21 publications 2016: 16 publications 2017: 17 publications 2018: 29 publications 2019: 21 publications 2020: 20 publications 2021: 15 publications 2022: 9 publications 2023: 4 publications 2024: 12 publications 2025: 6 publications
1981 2025

472 publications in total across all disciplines

View publications per year as a table
Rick S. Blum: publications per year, 1981 to 2025
Year Publications
1981 1
1982 0
1983 1
1984 0
1985 0
1986 0
1987 0
1988 0
1989 2
1990 1
1991 2
1992 1
1993 2
1994 6
1995 10
1996 6
1997 6
1998 6
1999 10
2000 15
2001 13
2002 14
2003 13
2004 17
2005 21
2006 19
2007 23
2008 18
2009 22
2010 16
2011 19
2012 13
2013 9
2014 16
2015 21
2016 16
2017 17
2018 29
2019 21
2020 20
2021 15
2022 9
2023 4
2024 12
2025 6
Total 472
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Rick S. Blum 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 Rick S. Blum 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, 434–453 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: 436 publications — 78th percentile

78% 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
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147 436
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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Rick S. Blum 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 Rick S. Blum 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, 68 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: 68 D-Index — 86th percentile

86% 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 68
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

Rick S. Blum is affiliated with Lehigh University in the United States. Their research spans multiple fields primarily in Engineering and Computer Science, with significant contributions in Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering, and Aerospace Engineering.

The scientist's work frequently appears in a variety of publication venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Information Theory
  • Discover Internet of Things

Rick S. Blum's recent scholarly output includes several papers that address advanced topics in radar signal processing, wireless communication security, and power distribution network optimization. Notable publications from 2020 and 2021 include:

  • "Suboptimal Low Complexity Joint Multi-Target Detection and Localization for Non-Coherent MIMO Radar With Widely Separated Antennas," 2020, IEEE Transactions on Signal Processing
  • "Artificial Noise-Aided MIMO Physical Layer Authentication With Imperfect CSI," 2021, IEEE Transactions on Information Forensics and Security
  • "Secrecy by Design With Applications to Privacy and Compression," 2020, IEEE Transactions on Information Theory
  • "Distributed Outage Detection in Power Distribution Networks," 2020, IEEE Transactions on Smart Grid
  • "Target Detection Using Quantized Cloud MIMO Radar Measurements," 2021, IEEE Transactions on Signal Processing

The main research topics covered include:

  • Smart Grid Security and Resilience
  • Wireless Communication Security Techniques
  • Radar Systems and Signal Processing
  • Power System Optimization and Stability
  • Advanced Graph Neural Networks
  • Advanced SAR Imaging Techniques
  • Cooperative Communication and Network Coding

Frequent coauthors who have collaborated extensively with Rick S. Blum include:

  • Brian M. Sadler
  • Parv Venkitasubramaniam
  • Javad Khazaei
  • Jake Perazzone
  • Paul Yu

The combination of broad disciplinary focus and prolific publication record illustrates an engagement with both theoretical and applied aspects of electronic engineering and computer science, specifically in areas relating to signal processing and network security. The presence of multiple contributions in top IEEE journals highlights participation in leading technical discussions relevant to modern communication systems, radar technology, and smart grid infrastructures.

Best Publications

  • MIMO Radar with Widely Separated Antennas

    A.M. Haimovich;R.S. Blum;L.J. Cimini

  • MIMO radar: an idea whose time has come

    E. Fishler;A. Haimovich;R. Blum;D. Chizhik

  • Spatial Diversity in Radars—Models and Detection Performance

    E. Fishler;A. Haimovich;R.S. Blum;L.J. Cimini

  • A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application

    Zhong Zhang;R.S. Blum

  • Distributed detection with multiple sensors II. Advanced topics

    R.S. Blum;S.A. Kassam;S.A. Kassam;H.V. Poor

  • MIMO radar waveform design based on mutual information and minimum mean-square error estimation

    Yang Yang;R.S. Blum

  • Target Localization Accuracy Gain in MIMO Radar-Based Systems

    Hana Godrich;Alexander M Haimovich;Rick S Blum

  • MIMO capacity with interference

    R.S. Blum

  • On optimum MIMO with antenna selection

    R.S. Blum;J.H. Winters

  • A new automated quality assessment algorithm for image fusion

    Yin Chen;Rick S. Blum

  • Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review

    Qiang Zhang;Yi Liu;Rick S. Blum;Jungong Han

  • Performance of MIMO radar systems: advantages of angular diversity

    E. Fishler;A. Haimovich;R. Blum;R. Cimini

  • On the capacity of cellular systems with MIMO

    R.S. Blum;J.H. Winters;N.R. Sollenberger

  • Optimized signaling for MIMO interference systems with feedback

    Sigen Ye;R.S. Blum

  • Evaluation of Transmit Diversity in MIMO-Radar Direction Finding

    N.H. Lehmann;E. Fishler;A.M. Haimovich;R.S. Blum

  • Decode-and-Forward Cooperative Diversity with Power Allocation in Wireless Networks

    J. Luo;R.S. Blum;L.J. Cimini;L.J. Greenstein

  • Multi-sensor image fusion and its applications

    Rick S. Blum;Zheng Liu

  • High Resolution Capabilities of MIMO Radar

    Nikolaus H. Lehmann;Alexander M. Haimovich;Rick S. Blum;Len Cimini

  • Target Velocity Estimation and Antenna Placement for MIMO Radar With Widely Separated Antennas

    Qian He;R.S. Blum;H. Godrich;A.M. Haimovich

  • The good, bad and ugly: distributed detection of a known signal in dependent Gaussian noise

    P. Willett;P.F. Swaszek;R.S. Blum

Frequent Co-Authors

Qian He
Qian He National University of Singapore
Alexander M. Haimovich
Alexander M. Haimovich New Jersey Institute of Technology
Brian M. Sadler
Brian M. Sadler United States Army Research Laboratory
Leonard J. Cimini
Leonard J. Cimini University of Delaware
Lance Kaplan
Lance Kaplan United States Army Research Laboratory
Saleem A. Kassam
Saleem A. Kassam University of Pennsylvania
Peter A. Andrekson
Peter A. Andrekson Chalmers University of Technology
Soummya Kar
Soummya Kar Carnegie Mellon University
Reinaldo A. Valenzuela
Reinaldo A. Valenzuela Nokia (United States)
Jun Fang
Jun Fang University of Electronic Science and Technology of China

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