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Engineering and Technology
UAE
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 90 256 243 3 3 487 78015

Zahoor Ali Khan publications per year

The chart shows the history of publications by Zahoor Ali Khan between 2007 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Zahoor Ali Khan published across 19 years, from 2007 to 2025, averaging 28.7 papers a year. Output peaked at 94 publications in 2016. 31 of the 546 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 2007 to 2025. Vertical axis: number of publications, 0 to 94. Peak 94 publications in 2016. 2007: 1 publication 2008: 0 publications 2009: 0 publications 2010: 2 publications 2011: 1 publication 2012: 36 publications 2013: 44 publications 2014: 56 publications 2015: 55 publications 2016: 94 publications 2017: 70 publications 2018: 42 publications 2019: 58 publications 2020: 26 publications 2021: 12 publications 2022: 8 publications 2023: 10 publications 2024: 9 publications 2025: 22 publications
2007 2025

546 publications in total across all disciplines

View publications per year as a table
Zahoor Ali Khan: publications per year, 2007 to 2025
Year Publications
2007 1
2008 0
2009 0
2010 2
2011 1
2012 36
2013 44
2014 56
2015 55
2016 94
2017 70
2018 42
2019 58
2020 26
2021 12
2022 8
2023 10
2024 9
2025 22
Total 546
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Zahoor Ali Khan publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Zahoor Ali Khan sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 478–487 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 487 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30 487
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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Zahoor Ali Khan D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Zahoor Ali Khan sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 90 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 90 D-Index — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23 90
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
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Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in United Arab Emirates Leader Award
  • 2025 - Research.com Engineering and Technology in United Arab Emirates Leader Award

Overview

Zahoor Ali Khan is affiliated with the Higher Colleges of Technology in the United Arab Emirates and has contributed extensively to research in computer science and engineering. Their work spans several key areas including electrical and electronic engineering, computer networks and communications, artificial intelligence, information systems, and political science and international relations.

Their research topics emphasize energy-efficient wireless sensor networks, network security and intrusion detection, underwater vehicles and communication systems, blockchain technology applications and security, smart grid energy management, electricity theft detection techniques, and water systems optimization.

Among recent publications authored by Zahoor Ali Khan are:

  • Electricity Theft Detection Using Supervised Learning Techniques on Smart Meter Data, 2020, Sustainability
  • Q-learning based energy-efficient and void avoidance routing protocol for underwater acoustic sensor networks, 2021, Computer Networks
  • A Blockchain-Based Deep-Learning-Driven Architecture for Quality Routing in Wireless Sensor Networks, 2023, IEEE Access

Khan has collaborated frequently with several coauthors, including Nadeem Javaid, Turki Ali Alghamdi, Sheeraz Ahmed, Ashiq Ali Shah, and Muhammad Adil.

Their publications appear often in venues such as:

  • Social Sciences & Humanity Research Review
  • IEEE Access
  • International Journal of Web and Grid Services
  • International Journal of Ad Hoc and Ubiquitous Computing
  • International Journal of Grid and Utility Computing

This scholarly profile reflects a focus on applying machine learning and deep learning techniques to practical problems like energy utilization, smart grid management, and network security in various communication and sensor network contexts. Their interdisciplinary subfields and main topics combine advances in artificial intelligence with network technology and energy systems optimization, addressing both theoretical and applied challenges within engineering and computer science.

Best Publications

  • Observation of Gravitational Waves from a Binary Black Hole Merger

    B. Abbott;R. Abbott;T. D. Abbott;M. R. Abernathy

  • GW170817: observation of gravitational waves from a binary neutron star inspiral

    B. P. Abbott;R. Abbott;T. D. Abbott;F. Acernese

  • GW151226: observation of gravitational waves from a 22-solar-mass binary black hole coalescence

    B. P. Abbott;R. Abbott

  • Gravitational Waves and Gamma-Rays from a Binary Neutron Star Merger: GW170817 and GRB 170817A

    B. P. Abbott;R. Abbott;T. D. Abbott;F. Acernese

  • GW170814: A three-detector observation of gravitational waves from a binary black hole coalescence

    B. P. Abbott;R. Abbott;T. D. Abbott;F. Acernese

  • GW170817: Measurements of Neutron Star Radii and Equation of State.

    B. P. Abbott;R. Abbott;T. D. Abbott;F. Acernese

  • Tests of general relativity with GW150914

    B. P. Abbott;R. Abbott;T. D. Abbott;M. R. Abernathy

  • Binary Black Hole Mergers in the First Advanced LIGO Observing Run

    B. P. Abbott;R. Abbott

  • GW170608: Observation of a 19-solar-mass Binary Black Hole Coalescence

    B. P. Abbott;R. Abbott

  • GW170608: Observation of a 19 solar-mass binary black hole coalescence

    B. P. Abbott;R. Abbott;T. D. Abbott;F. Acernese

  • Properties of the Binary Neutron Star Merger GW170817

    B. P. Abbott;R. Abbott;T. D. Abbott;F. Acernese

  • Binary Black Hole Mergers in the first Advanced LIGO Observing Run

    B. P. Abbott;R. Abbott

  • Exploring the Sensitivity of Next Generation Gravitational Wave Detectors

    B. P. Abbott;R. Abbott;T. D. Abbott;M. R. Abernathy

  • A gravitational-wave standard siren measurement of the Hubble constant

    B. P. Abbott;R. Abbott;T. D. Abbott;F. Acernese;F. Acernese

  • Binary Black Hole Population Properties Inferred from the First and Second Observing Runs of Advanced LIGO and Advanced Virgo

    B. P. Abbott;R. Abbott

  • Properties of the Binary Black Hole Merger GW150914

    B. P. Abbott;R. Abbott;T. D. Abbott;M. R. Abernathy

  • GW150914: The Advanced LIGO Detectors in the Era of First Discoveries

    B. P. Abbott;R. Abbott;T. D. Abbott;M. R. Abernathy

  • ASTROPHYSICAL IMPLICATIONS OF THE BINARY BLACK HOLE MERGER GW150914

    B. P. Abbott;R. Abbott;T. D. Abbott;M. R. Abernathy

  • Tests of general relativity with the binary black hole signals from the LIGO-Virgo catalog GWTC-1

    B.P. Abbott;R. Abbott;T.D. Abbott;S. Abraham

  • GW150914: implications for the stochastic gravitational wave background from binary black holes

    B. P. Abbott;R. Abbott;T. D. Abbott;M. R. Abernathy

  • Characterization of transient noise in Advanced LIGO relevant to gravitational wave signal GW150914

    B. P. Abbott;R. Abbott;T. D. Abbott;M. R. Abernathy

  • Localization and broadband follow-up of the gravitational-wave transient GW150914

    B. P. Abbott;R. Abbott;T. D. Abbott;M. R. Abernathy

  • Properties and astrophysical implications of the 150 Msun binary black hole merger GW190521.

    R. Abbott;T. D. Abbott

  • Exploiting heuristic algorithms to efficiently utilize energy management controllers with renewable energy sources

    Sahar Rahim;Nadeem Javaid;Ashfaq Ahmad;Shahid Ahmed Khan

  • Search for the isotropic stochastic background using data from Advanced LIGO's second observing run

    B. P. Abbott;R. Abbott

  • M-ATTEMPT: A New Energy-Efficient Routing Protocol for Wireless Body Area Sensor Networks

    Nadeem Javaid;Z. Abbas;M. S. Fareed;Zahoor Ali Khan

  • Upper Limits on the Stochastic Gravitational-Wave Background from Advanced LIGO's First Observing Run

    B. P. Abbott;R. Abbott;R. Abbott;T. D. Abbott;M. R. Abernathy

  • Search for post-merger gravitational waves from the remnant of the binary neutron star merger GW170817

    B. P. Abbott;R. Abbott

  • Upper limits on the rates of binary neutron star and neutron-star--black-hole mergers from Advanced LIGO's first observing run

    B. P. Abbott;R. Abbott

  • TSEP: Threshold-Sensitive Stable Election Protocol for WSNs

    A. Kashaf;N. Javaid;Z.A. Khan;I.A. Khan

  • Improved Analysis of GW150914 Using a Fully Spin-Precessing Waveform Model

    B. P. Abbott;R. Abbott;T. D. Abbott;M. R. Abernathy

  • First search for gravitational waves from known pulsars with Advanced LIGO

    B. P. Abbott;R. Abbott

  • Survey of Extended LEACH-Based Clustering Routing Protocols for Wireless Sensor Networks

    M. Aslam;N. Javaid;A. Rahim;U. Nazir

  • A guide to LIGO-Virgo detector noise and extraction of transient gravitational-wave signals

    B. P. Abbott;R. Abbott

Frequent Co-Authors

Nadeem Javaid
Nadeem Javaid National Yunlin University of Science and Technology
Umar Qasim
Umar Qasim University of Alberta
Nabil Alrajeh
Nabil Alrajeh King Saud University
Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence
Syed Hassan Ahmed
Syed Hassan Ahmed Georgia Southern University
Abid Khan
Abid Khan Aberystwyth University
Athanasios V. Vasilakos
Athanasios V. Vasilakos University of Agder
Atif Alamri
Atif Alamri King Saud University
Elhadi M. Shakshuki
Elhadi M. Shakshuki Acadia University
Tanzila Saba
Tanzila Saba Prince Sultan University

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