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Khandker Nurul Habib

Khandker Nurul Habib

University of Toronto
Canada

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 36 8699 8385 351 338 272 5410

Khandker Nurul Habib publications per year

The chart shows the history of publications by Khandker Nurul Habib between 2002 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Khandker Nurul Habib published across 25 years, from 2002 to 2026, averaging 12 papers a year. Output peaked at 27 publications in 2023. 16 of the 299 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2002 to 2026. Vertical axis: number of publications, 0 to 27. Peak 27 publications in 2023. 2002: 1 publication 2003: 0 publications 2004: 0 publications 2005: 0 publications 2006: 4 publications 2007: 2 publications 2008: 6 publications 2009: 5 publications 2010: 2 publications 2011: 8 publications 2012: 16 publications 2013: 12 publications 2014: 23 publications 2015: 16 publications 2016: 21 publications 2017: 20 publications 2018: 14 publications 2019: 12 publications 2020: 22 publications 2021: 26 publications 2022: 26 publications 2023: 27 publications 2024: 20 publications 2025: 15 publications 2026: 1 publication
2002 2026

299 publications in total across all disciplines

View publications per year as a table
Khandker Nurul Habib: publications per year, 2002 to 2026
Year Publications
2002 1
2003 0
2004 0
2005 0
2006 4
2007 2
2008 6
2009 5
2010 2
2011 8
2012 16
2013 12
2014 23
2015 16
2016 21
2017 20
2018 14
2019 12
2020 22
2021 26
2022 26
2023 27
2024 20
2025 15
2026 1
Total 299
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Khandker Nurul Habib 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 Khandker Nurul Habib 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, 268–277 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: 272 publications — 70th percentile

70% 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
268–277 214 272
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
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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Khandker Nurul Habib 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 Khandker Nurul Habib 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, 36 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: 36 D-Index — 13th percentile

13% 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 36
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
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
Download as CSV

Overview

Khandker Nurul Habib is affiliated with the University of Toronto in Canada. Their research spans multiple fields and subfields within social sciences and engineering, with a strong focus on transportation systems and mobility.

The main fields of study covered in their work include:

  • Social Sciences
  • Engineering

Within these fields, the subfields of study they frequently contribute to are:

  • Transportation
  • Economics and Econometrics
  • Automotive Engineering
  • Marketing
  • Safety, Risk, Reliability and Quality

The primary research topics addressed in their publications are:

  • Urban Transport and Accessibility
  • Transportation Planning and Optimization
  • Transportation and Mobility Innovations
  • Economic and Environmental Valuation
  • Human Mobility and Location-Based Analysis
  • Housing Market and Economics
  • Traffic and Road Safety

Khandker Nurul Habib has published extensively, with frequent appearances in the following academic venues:

  • Transportation Research Part A Policy and Practice
  • Transportation Research Record Journal of the Transportation Research Board
  • SSRN Electronic Journal
  • Transportation
  • Transport Policy

Among their recent papers are the following, highlighting key topics and empirical investigations primarily concerning transportation systems and the effects of public health crises on mobility:

  • "Examining the influence of attitudinal factors on the use of ride-hailing services in Toronto" (2021), published in Transportation Research Part A Policy and Practice
  • "Exploring the impacts of the COVID-19 pandemic on modality profiles for non-mandatory trips in the Greater Toronto Area" (2021), published in Transport Policy
  • "How has the COVID-19 pandemic affected the use of ride-sourcing services? An empirical evidence-based investigation for the Greater Toronto Area" (2021), published in Transportation Research Part A Policy and Practice
  • "Will COVID-19 be the end for the public transit? Investigating the impacts of public health crisis on transit mode choice" (2022), published in Transportation Research Part A Policy and Practice
  • "Tour-based mode choice modelling as the core of an activity-based travel demand modelling framework: a review of state-of-the-art" (2020), published in Transport Reviews

Their frequent coauthors include:

  • Kaili Wang
  • Patrick Loa
  • Sanjana Hossain
  • Sk. Md. Mashrur
  • Felita Ong

Best Publications

  • Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto

    Wafic El-Assi;Mohamed Salah Mahmoud;Khandker Nurul Habib

  • Synopsis of users’ behaviour of a carsharing program: A case study in Toronto

    Cindy Costain;Carolyn Ardron;Khandker Nurul Habib

  • Validation of TASHA : A 24-h activity scheduling microsimulation model

    Matthew J Roorda;Eric J Miller;Khandker Mohammed Nurul Habib

  • An investigation of commuting trip timing and mode choice in the Greater Toronto Area: Application of a joint discrete-continuous model

    Khandker M. Nurul Habib;Nicholas Day;Eric J. Miller

  • Assessing social equity in distance based transit fares using a model of travel behavior

    Steven Farber;Keith Bartholomew;Xiao Li;Antonio Páez

  • Model of Personal Attitudes towards Transit Service Quality

    Khandker M. Nurul Habib;Lina Kattan;Md. Tazul Islam

  • Synopsis of bicycle demand in the City of Toronto: Investigating the effects of perception, consciousness and comfortability on the purpose of biking and bike ownership

    Khandker Nurul Habib;Jenessa Mann;Mohamed Mahmoud;Adam Weiss

  • Truck parking in urban areas: Application of choice modelling within traffic microsimulation

    Mehdi Nourinejad;Adam Wenneman;Khandker Nurul Habib;Matthew J. Roorda

  • Mode use and trip length of seniors in Montreal

    Md. Moniruzzaman;Antonio Páez;Khandker M. Nurul Habib;Catherine Morency

  • Modelling daily activity program generation considering within-day and day-to-day dynamics in activity-travel behaviour

    Khandker M Nurul Habib;Eric J Miller

  • Integrated models of land use and transportation for the autonomous vehicle revolution

    Jason Hawkins;Khandker Nurul Habib

  • Modeling commuting mode choice jointly with work start time and work duration

    Khandker M. Nurul Habib

  • Modelling users' behaviour of a carsharing program: Application of a joint hazard and zero inflated dynamic ordered probability model

    Khandker M. Nurul Habib;Catherine Morency;Mohammed Tazul Islam;Vincent Grasset

  • Integrating parking behaviour in activity-based travel demand modelling: Investigation of the relationship between parking type choice and activity scheduling process

    Khandker M. Nurul Habib;Catherine Morency;Martin Trépanier

  • Social Context of Activity Scheduling: Discrete–Continuous Model of Relationship Between “with Whom” and Episode Start Time and Duration

    Khandker M Nurul Habib;Juan Antonio Carrasco;Eric J Miller

  • Determinants of travel mode choices of post-secondary students in a large metropolitan area: The case of the city of Toronto

    Sami Hasnine;TianYang Lin;Adam Weiss;Khandker Nurul Habib

  • A random utility maximization (RUM) based dynamic activity scheduling model: Application in weekend activity scheduling

    Khandker M. Nurul Habib

  • Modelling activity generation: a utility-based model for activity-agenda formation

    Khandker M. Nurul Habib;Eric J. Miller

  • Exploring the impacts of the COVID-19 pandemic on modality profiles for non-mandatory trips in the Greater Toronto Area

    Patrick Loa;Sanjana Hossain;Sk. Md. Mashrur;Yicong Liu

  • Examining the influence of attitudinal factors on the use of ride-hailing services in Toronto

    Patrick Loa;Khandker Nurul Habib

  • Using Smartphones and Sensor Technologies to Automate Collection of Travel Data

    Tamer Abdulazim;Hossam Abdelgawad;Khandker M Nurul Habib;Baher Abdulhai

  • Understanding members' carsharing (activity) persistency by using econometric model

    Catherine Morency;Khandker M. Nurul Habib;Vincent Grasset;Tazul Islam

  • Mode choice modelling for hailable rides: An investigation of the competition of Uber with other modes by using an integrated non-compensatory choice model with probabilistic choice set formation

    Khandker Nurul Habib

  • Unraveling the relationship between trip chaining and mode choice: evidence from a multi-week travel diary

    Md. Tazul Islam;Khandker M. Nurul Habib

  • Truck Parking In Urban Areas: Application of Choice Modeling Within Traffic Microsimulation

    Mehdi Nourinejad;Adam Wenneman;Khandker Nurul Habib;Matthew J Roorda

Frequent Co-Authors

Eric J. Miller
Eric J. Miller University of Toronto
Amer Shalaby
Amer Shalaby University of Toronto
Mohamed E. Mahmoud
Mohamed E. Mahmoud University of Alabama
Matthew J. Roorda
Matthew J. Roorda University of Toronto
Antonio Páez
Antonio Páez McMaster University
Steven Farber
Steven Farber University of Toronto
Kay W. Axhausen
Kay W. Axhausen ETH Zurich
Joffre Swait
Joffre Swait Erasmus University Rotterdam
Bhagwant Persaud
Bhagwant Persaud Toronto Metropolitan University

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