World's Best Scientists 2026 revealed!
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Muhammad Shafique
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Electronics and Electrical Engineering
UAE
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 57 1962 1882 11 11 481 12727
Computer Science 54 4556 4427 24 23 472 11852

Muhammad Shafique publications per year

The chart shows the history of publications by Muhammad Shafique between 1970 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Muhammad Shafique published across 56 years, from 1970 to 2025, averaging 16.3 papers a year. Output peaked at 118 publications in 2024. 199 of the 910 publications appeared in the last two years.

No. of publications
25 50 75 100
Bar chart. Horizontal axis: year, 1970 to 2025. Vertical axis: number of publications, 0 to 118. Peak 118 publications in 2024. 1970: 1 publication 1971: 0 publications 1972: 0 publications 1973: 0 publications 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: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 1 publication 2001: 0 publications 2002: 0 publications 2003: 1 publication 2004: 1 publication 2005: 0 publications 2006: 1 publication 2007: 4 publications 2008: 6 publications 2009: 12 publications 2010: 11 publications 2011: 31 publications 2012: 17 publications 2013: 40 publications 2014: 37 publications 2015: 51 publications 2016: 48 publications 2017: 43 publications 2018: 71 publications 2019: 63 publications 2020: 77 publications 2021: 61 publications 2022: 43 publications 2023: 91 publications 2024: 118 publications 2025: 81 publications
1970 2025

910 publications in total across all disciplines

View publications per year as a table
Muhammad Shafique: publications per year, 1970 to 2025
Year Publications
1970 1
1971 0
1972 0
1973 0
1974 0
1975 0
1976 0
1977 0
1978 0
1979 0
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 0
1999 0
2000 1
2001 0
2002 0
2003 1
2004 1
2005 0
2006 1
2007 4
2008 6
2009 12
2010 11
2011 31
2012 17
2013 40
2014 37
2015 51
2016 48
2017 43
2018 71
2019 63
2020 77
2021 61
2022 43
2023 91
2024 118
2025 81
Total 910
Download as CSV

Muhammad Shafique 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 Muhammad Shafique 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, 474–493 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: 481 publications — 83rd percentile

83% 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
454–473 111
474–493 117 481
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

Muhammad Shafique 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 Muhammad Shafique 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, 57 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: 57 D-Index — 72nd percentile

72% 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 57
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

  • 2025 - Research.com Electronics and Electrical Engineering in United Arab Emirates Leader Award

Overview

Muhammad Shafique is affiliated with New York University Abu Dhabi, located in the United Arab Emirates. Their research spans several core areas within computer science and engineering, emphasizing both theoretical and applied aspects of advanced computing technologies.

The primary fields of study covered by Muhammad Shafique include:

  • Computer Science
  • Engineering

Within these broader fields, their subfields of study focus on:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Computer Networks and Communications

The main topics addressed in their work involve:

  • Advanced Memory and Neural Computing
  • Adversarial Robustness in Machine Learning
  • Ferroelectric and Negative Capacitance Devices
  • Advanced Neural Network Applications
  • Quantum Computing Algorithms and Architecture
  • Anomaly Detection Techniques and Applications
  • Physical Unclonable Functions (PUFs) and Hardware Security

They have published extensively in various venues. Among the most frequent publication venues are:

  • arXiv (Cornell University)
  • IEEE Access
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • ACM Transactions on Embedded Computing Systems
  • Microprocessors and Microsystems

Frequent coauthors in Muhammad Shafique's collaborations include:

  • Alberto Marchisio
  • Muhammad Abdullah Hanif
  • Rachmad Vidya Wicaksana Putra
  • Maurizio Martina
  • Nouhaila Innan

Their recent papers highlight a focus on both hardware and software aspects of deep learning acceleration, as well as energy management in smart grids. Representative publications include:

  • "Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead" (2020), IEEE Access
  • "An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks" (2020), Future Internet
  • "A Systematic Review Towards Integrative Energy Management of Smart Grids and Urban Energy Systems" (2023), Renewable and Sustainable Energy Reviews
  • "High-Performance Accurate and Approximate Multipliers for FPGA-Based Hardware Accelerators" (2021), IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends" (2024), IEEE Access

Best Publications

  • Mapping on multi/many-core systems: survey of current and emerging trends

    Amit Kumar Singh;Muhammad Shafique;Akash Kumar;Jorg Henkel

  • A low latency generic accuracy configurable adder

    Muhammad Shafique;Waqas Ahmad;Rehan Hafiz;Jorg Henkel

  • Reliable on-chip systems in the nano-era: lessons learnt and future trends

    Jorg Henkel;Lars Bauer;Nikil Dutt;Puneet Gupta

  • The EDA Challenges in the Dark Silicon Era: Temperature, Reliability, and Variability Perspectives

    Muhammad Shafique;Siddharth Garg;Jörg Henkel;Diana Marculescu

  • Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead

    Maurizio Capra;Beatrice Bussolino;Alberto Marchisio;Guido Masera

  • An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks

    Maurizio Capra;Beatrice Bussolino;Alberto Marchisio;Muhammad Shafique

  • Architectural-space exploration of approximate multipliers

    Semeen Rehman;Walaa El-Harouni;Muhammad Shafique;Akash Kumar

  • A Miniaturized Flexible Frequency Selective Surface for X-Band Applications

    Mudassar Nauman;Rashid Saleem;Amir Khurrum Rashid;Muhammad Farhan Shafique

  • Reliable software for unreliable hardware: embedded code generation aiming at reliability

    Semeen Rehman;Muhammad Shafique;Florian Kriebel;Jorg Henkel

  • A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems

    Denise Ratasich;Faiq Khalid;Florian Geissler;Radu Grosu

  • Invited - Cross-layer approximate computing: from logic to architectures

    Muhammad Shafique;Rehan Hafiz;Semeen Rehman;Walaa El-Harouni

  • Robust Machine Learning Systems: Challenges,Current Trends, Perspectives, and the Road Ahead

    Muhammad Shafique;Mahum Naseer;Theocharis Theocharides;Christos Kyrkou

  • TSP: thermal safe power: efficient power budgeting for many-core systems in dark silicon

    Santiago Pagani;Heba Khdr;Waqaas Munawar;Jian-Jia Chen

  • New trends in dark silicon

    Jorg Henkel;Heba Khdr;Santiago Pagani;Muhammad Shafique

  • Performance evaluation of convolutional neural network for hand gesture recognition using EMG

    Ali Raza Asif;Asim Waris;Syed Omer Gilani;Mohsin Jamil;Mohsin Jamil

  • ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining

    Vojtech Mrazek;Zdenek Vasicek;Lukas Sekanina;Muhammad Abdullah Hanif

  • High-Performance Accurate and Approximate Multipliers for FPGA-based Hardware Accelerators

    Salim Ullah;Semeen Rehman;Muhammad Shafique;Akash Kumar

  • Compact ultra-wideband diversity antenna with a floating parasitic digitated decoupling structure

    Muhammad Saeed Khan;Antonio-Daniele Capobianco;Ali Imran Najam;Imran Shoaib

  • Probabilistic Error Modeling for Approximate Adders

    Sana Mazahir;Osman Hasan;Rehan Hafiz;Muhammad Shafique

  • Polarization Insensitive Dual Band Frequency Selective Surface for RF Shielding Through Glass Windows

    Umer Farooq;Muhammad Farhan Shafique;Muhammad Junaid Mughal

  • An adaptive complexity reduction scheme with fast prediction unit decision for HEVC intra encoding

    Muhammad Usman Karim Khan;Muhammad Shafique;Jorg Henkel

  • An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era

    Muhammad Shafique;Theocharis Theocharides;Christos-Savvas Bouganis;Muhammad Abdullah Hanif

  • FT-ClipAct: resilience analysis of deep neural networks and improving their fault tolerance using clipped activation

    Le-Ha Hoang;Muhammad Abdullah Hanif;Muhammad Shafique

Frequent Co-Authors

Jorg Henkel
Jorg Henkel Karlsruhe Institute of Technology
Osman Hasan
Osman Hasan National University of Sciences and Technology
Jian-Jia Chen
Jian-Jia Chen TU Dortmund University
Sri Parameswaran
Sri Parameswaran University of Sydney
Tulika Mitra
Tulika Mitra National University of Singapore
Akash Kumar
Akash Kumar TU Dresden
Axel Jantsch
Axel Jantsch TU Wien
Lukas Sekanina
Lukas Sekanina Brno University of Technology
Norbert Wehn
Norbert Wehn Technical University of Kaiserslautern
Jürgen Teich
Jürgen Teich University of Erlangen-Nuremberg

External Links

Personal website of Muhammad Shafique Google Scholar page

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Related Online Degrees & Career Pathways

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Additionally, pursuing a project management bachelor degree online provides a flexible option to combine technical knowledge with managerial expertise. This combination is valuable in multidisciplinary environments where engineers lead complex projects.

Exploring these related degrees and career pathways can complement an education in Electronics and Electrical Engineering, aligning skills with industry demands and personal work preferences.

Best Scientists Citing Muhammad Shafique

Jorg Henkel

Jorg Henkel

Karlsruhe Institute of Technology

Publications: 56

Jürgen Teich

Jürgen Teich

University of Erlangen-Nuremberg

Publications: 34

Nikil Dutt

Nikil Dutt

University of California, Irvine

Publications: 27

Akash Kumar

Akash Kumar

TU Dresden

Publications: 26

Sri Parameswaran

Sri Parameswaran

University of Sydney

Publications: 23

Tulika Mitra

Tulika Mitra

National University of Singapore

Publications: 21

Pasi Liljeberg

Pasi Liljeberg

University of Turku

Publications: 19

Fernando Moraes

Fernando Moraes

Pontifical Catholic University of Rio Grande do Sul

Publications: 18

Axel Jantsch

Axel Jantsch

TU Wien

Publications: 18

Hannu Tenhunen

Hannu Tenhunen

Royal Institute of Technology

Publications: 17

Mehdi B. Tahoori

Mehdi B. Tahoori

Karlsruhe Institute of Technology

Publications: 16

Massoud Pedram

Massoud Pedram

University of Southern California

Publications: 16

Ulf Schlichtmann

Ulf Schlichtmann

Technical University of Munich

Publications: 15

Lukas Sekanina

Lukas Sekanina

Brno University of Technology

Publications: 13

Luca Benini

Luca Benini

ETH Zurich

Publications: 13

Umit Y. Ogras

Umit Y. Ogras

University of Wisconsin–Madison

Publications: 12

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