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Naresh R. Shanbhag

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 58 1863 1786 737 688 350 12892
Computer Science 58 3653 3551 1747 1685 342 12582

Naresh R. Shanbhag publications per year

The chart shows the history of publications by Naresh R. Shanbhag between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Naresh R. Shanbhag published across 38 years, from 1988 to 2025, averaging 9.7 papers a year. Output peaked at 19 publications in 2003. 12 of the 368 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1988 to 2025. Vertical axis: number of publications, 0 to 19. Peak 19 publications in 2003. 1988: 3 publications 1989: 0 publications 1990: 2 publications 1991: 6 publications 1992: 2 publications 1993: 7 publications 1994: 8 publications 1995: 3 publications 1996: 8 publications 1997: 12 publications 1998: 14 publications 1999: 18 publications 2000: 16 publications 2001: 13 publications 2002: 11 publications 2003: 19 publications 2004: 19 publications 2005: 11 publications 2006: 10 publications 2007: 8 publications 2008: 18 publications 2009: 9 publications 2010: 13 publications 2011: 10 publications 2012: 10 publications 2013: 7 publications 2014: 10 publications 2015: 5 publications 2016: 16 publications 2017: 7 publications 2018: 13 publications 2019: 11 publications 2020: 18 publications 2021: 8 publications 2022: 6 publications 2023: 5 publications 2024: 8 publications 2025: 4 publications
1988 2025

368 publications in total across all disciplines

View publications per year as a table
Naresh R. Shanbhag: publications per year, 1988 to 2025
Year Publications
1988 3
1989 0
1990 2
1991 6
1992 2
1993 7
1994 8
1995 3
1996 8
1997 12
1998 14
1999 18
2000 16
2001 13
2002 11
2003 19
2004 19
2005 11
2006 10
2007 8
2008 18
2009 9
2010 13
2011 10
2012 10
2013 7
2014 10
2015 5
2016 16
2017 7
2018 13
2019 11
2020 18
2021 8
2022 6
2023 5
2024 8
2025 4
Total 368
Download as CSV

Naresh R. Shanbhag publications per year - data summary

  • Naresh R. Shanbhag, a Electronics and Electrical Engineering scholar from University of Illinois at Urbana-Champaign, has 368 publications recorded across 38 years, from 1988 to 2025.
  • The oldest publication on record dates to 1988 and the most recent to 2025.
  • The most productive years are 2003 and 2004, with 19 publications each.
  • The least productive years with any output are 1990 and 1992, with 2 publications each.
  • 1 of the 38 years in the span carries no publications at all (1989).
  • The rate of publication averages 9.7 papers per year over the whole span, or 9.9 per year counting only the 37 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 31 publications, 8% of the career total.
  • Split into equal eras - 1988-2000: 99 publications (7.6 per year); 2001-2013: 158 publications (12.2 per year); 2014-2025: 111 publications (9.3 per year).
  • Comparing the opening and closing eras, the overall trend of publication is broadly steady.

Naresh R. Shanbhag 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 Naresh R. Shanbhag 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, 334–353 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: 350 publications — 67th percentile

67% 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
334–353 250 350
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
Download as CSV

Naresh R. Shanbhag publication distribution in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the publication count of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 53 ranges running from 34–53 to 1,065+ publications.
  • Naresh R. Shanbhag, a Electronics and Electrical Engineering scholar from University of Illinois at Urbana-Champaign, records 350 publications - the 67th percentile of the discipline.
  • 67% of ranked Electronics and Electrical Engineering scientists score the same or lower than Naresh R. Shanbhag, and about 33% score higher.
  • The median of the discipline falls in the 254–273 publications range, and Naresh R. Shanbhag ranks above the median.
  • The most crowded range is 174–193 publications, holding 445 scientists (6% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 294–313 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 1,065 publications or more, 99 scientists in all (1% of the field).

Naresh R. Shanbhag 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 Naresh R. Shanbhag 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, 58 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: 58 D-Index — 74th percentile

74% 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 58
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

Naresh R. Shanbhag D-index placement in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 82 ranges running from 30 to 111+ D-Index.
  • Naresh R. Shanbhag, a Electronics and Electrical Engineering scholar from University of Illinois at Urbana-Champaign, records 58 D-Index - the 74th percentile of the discipline.
  • 74% of ranked Electronics and Electrical Engineering scientists score the same or lower than Naresh R. Shanbhag, and about 26% score higher.
  • The median of the discipline falls in the 46 D-Index range, and Naresh R. Shanbhag ranks above the median.
  • The most crowded range is 32 D-Index, holding 263 scientists (4% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 50 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 111 D-Index or more, 96 scientists in all (1% of the field).

Research.com Recognitions

  • 2018 - Semiconductor Industry Association University Researcher Award
  • 2006 - IEEE Fellow For development of a communication-centric design paradigm for low power systems on a chip.

Overview

Naresh R. Shanbhag is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans multiple fields, predominantly in engineering and computer science. The main areas of study include electrical and electronic engineering, artificial intelligence, computer vision and pattern recognition, neurology, and computational theory and mathematics.

Their work focuses extensively on advanced memory and neural computing, ferroelectric and negative capacitance devices, adversarial robustness in machine learning, semiconductor materials and devices, anomaly detection techniques and applications, advanced neural network applications, and advanced image and video retrieval techniques.

Recent notable publications by Shanbhag include:

  • Benchmarking In-Memory Computing Architectures, 2022, IEEE Open Journal of the Solid-State Circuits Society
  • Comprehending In-memory Computing Trends via Proper Benchmarking, 2022, 2022 IEEE Custom Integrated Circuits Conference (CICC)

Other significant papers related to their research group or frequent collaboration partners are:

  • Deep In-Memory Architectures in SRAM: An Analog Approach to Approximate Computing, 2020, Proceedings of the IEEE
  • A 0.44-μJ/dec, 39.9-μs/dec, Recurrent Attention In-Memory Processor for Keyword Spotting, 2020, IEEE Journal of Solid-State Circuits
  • Signal Processing Methods to Enhance the Energy Efficiency of In-Memory Computing Architectures, 2021, IEEE Transactions on Signal Processing

Frequent co-authors contributing to their research include Hassan Dbouk, Saion K. Roy, Sujan K. Gonugondla, Charbel Sakr, and Ameya D. Patil.

Shanbhag has published in several venues, with a high volume of work appearing in arXiv (Cornell University), as well as multiple publications in the IEEE Journal of Solid-State Circuits, IEEE Transactions on Signal Processing, IEEE Transactions on Circuits and Systems I Regular Papers, and the IEEE Open Journal of the Solid-State Circuits Society.

The scientist has received recognition from professional organizations, including being named an IEEE Fellow in 2006 for the development of a communication-centric design paradigm for low power systems on a chip. Additionally, they were awarded the Semiconductor Industry Association University Researcher Award in 2018.

Best Publications

  • High-throughput LDPC decoders

    M.M. Mansour;N.R. Shanbhag

  • Binodal, wireless epidermal electronic systems with in-sensor analytics for neonatal intensive care

    Ha Uk Chung;Bong Hoon Kim;Jong Yoon Lee;Jungyup Lee

  • High-speed architectures for Reed-Solomon decoders

    D.V. Sarwate;N.R. Shanbhag

  • Soft digital signal processing

    R. Hegde;N.R. Shanbhag

  • Soft-Error-Rate-Analysis (SERA) Methodology

    Ming Zhang;N.R. Shanbhag

  • A 640-Mb/s 2048-bit programmable LDPC decoder chip

    M.M. Mansour;N.R. Shanbhag

  • Energy-efficient signal processing via algorithmic noise-tolerance

    Rajamohana Hegde;Naresh R. Shanbhag

  • A coding framework for low-power address and data busses

    S. Ramprasad;N.R. Shanbhag;I.N. Hajj

  • Sequential Element Design With Built-In Soft Error Resilience

    Ming Zhang;S. Mitra;T.M. Mak;N. Seifert

  • Coding for system-on-chip networks: a unified framework

    S.R. Sridhara;N.R. Shanbhag

  • Low-power VLSI decoder architectures for LDPC codes

    Mohammad M. Mansour;Naresh R. Shanbhag

  • Reliable low-power digital signal processing via reduced precision redundancy

    Byonghyo Shim;S.R. Sridhara;N.R. Shanbhag

  • A soft error rate analysis (SERA) methodology

    Ming Zhang;N. R. Shanbhag

  • A Multi-Functional In-Memory Inference Processor Using a Standard 6T SRAM Array

    Mingu Kang;Sujan K. Gonugondla;Ameya Patil;Naresh R. Shanbhag

  • A 42pJ/decision 3.12TOPS/W robust in-memory machine learning classifier with on-chip training

    Sujan Kumar Gonugondla;Mingu Kang;Naresh Shanbhag

  • Coupling-driven signal encoding scheme for low-power interface design

    Ki-Wook Kim;Kwang-Hyun-Baek;N. Shanbhag;C.L. Liu

  • Energy-efficient soft error-tolerant digital signal processing

    Byonghyo Shim;N.R. Shanbhag

  • Stochastic computation

    Naresh R. Shanbhag;Rami A. Abdallah;Rakesh Kumar;Douglas L. Jones

  • AN ENERGY-EFFICIENT VLSI ARCHITECTURE FOR PATTERN RECOGNITION VIA DEEP EMBEDDING OF COMPUTATION IN SRAM

    Mingu Kang;Min-Sun Keel;Naresh R. Shanbhag;Sean Eilert

  • Toward achieving energy efficiency in presence of deep submicron noise

    R. Hegde;N.R. Shanbhag

  • Coding for systern-on-chip networks: a unified framework

    Srinivasa R. Sridhara;Naresh R. Shanbhag

Frequent Co-Authors

Andrew C. Singer
Andrew C. Singer University of Illinois at Urbana-Champaign
Keshab K. Parhi
Keshab K. Parhi University of Minnesota
Ibrahim N. Hajj
Ibrahim N. Hajj University of Illinois at Urbana-Champaign
Douglas L. Jones
Douglas L. Jones University of Illinois at Urbana-Champaign
Byonghyo Shim
Byonghyo Shim Seoul National University
Ralf Koetter
Ralf Koetter Technical University of Munich
Lav R. Varshney
Lav R. Varshney University of Illinois at Urbana-Champaign
Sasikanth Manipatruni
Sasikanth Manipatruni Intel (United States)
Philip T. Krein
Philip T. Krein University of Illinois at Urbana-Champaign
Ian A. Young
Ian A. Young Intel (United States)

External Links

Personal website of Naresh R. Shanbhag Google Scholar page

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Related Online Degrees & Career Pathways

For those interested in Electronics and Electrical Engineering, exploring related online degrees can expand career opportunities. Many professionals benefit from accelerated online degree programs for working adults, allowing them to balance education with existing job commitments and gain advanced skills faster.

In addition to technical expertise, degrees in fields like instructional design are gaining popularity. These programs equip students with the ability to create effective educational materials, a valuable skill in training and development roles within engineering firms or tech companies.

Competency-based programs offer another flexible path, especially for those with prior experience. A competency based masters degree allows students to advance by demonstrating their mastery of subject matter rather than following a traditional semester schedule.

Moreover, online education options are increasingly accommodating diverse communities. For example, there are excellent online colleges for military spouses that provide flexibility and support tailored to their unique needs, helping them pursue technical careers alongside their families.

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