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Helmi Zulhaidi Mohd Shafri

Helmi Zulhaidi Mohd Shafri

Universiti Putra Malaysia
Malaysia

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 42 8517 8278 17 17 197 5801

Helmi Zulhaidi Mohd Shafri publications per year

The chart shows the history of publications by Helmi Zulhaidi Mohd Shafri between 2005 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Helmi Zulhaidi Mohd Shafri published across 21 years, from 2005 to 2025, averaging 13.4 papers a year. Output peaked at 33 publications in 2014. 24 of the 282 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2005 to 2025. Vertical axis: number of publications, 0 to 33. Peak 33 publications in 2014. 2005: 1 publication 2006: 1 publication 2007: 3 publications 2008: 9 publications 2009: 12 publications 2010: 6 publications 2011: 9 publications 2012: 8 publications 2013: 15 publications 2014: 33 publications 2015: 17 publications 2016: 14 publications 2017: 19 publications 2018: 24 publications 2019: 24 publications 2020: 8 publications 2021: 15 publications 2022: 27 publications 2023: 13 publications 2024: 18 publications 2025: 6 publications
2005 2025

282 publications in total across all disciplines

View publications per year as a table
Helmi Zulhaidi Mohd Shafri: publications per year, 2005 to 2025
Year Publications
2005 1
2006 1
2007 3
2008 9
2009 12
2010 6
2011 9
2012 8
2013 15
2014 33
2015 17
2016 14
2017 19
2018 24
2019 24
2020 8
2021 15
2022 27
2023 13
2024 18
2025 6
Total 282
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Helmi Zulhaidi Mohd Shafri publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Helmi Zulhaidi Mohd Shafri sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 192–201 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 197 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519 197
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Helmi Zulhaidi Mohd Shafri D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Helmi Zulhaidi Mohd Shafri sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 42–43 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821 42
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Helmi Zulhaidi Mohd Shafri is affiliated with Universiti Putra Malaysia in Malaysia. The research work primarily spans Environmental Science and Engineering, with significant contributions in the following subfields:

  • Ecology
  • Environmental Engineering
  • Global and Planetary Change
  • Media Technology
  • Plant Science

The main topics addressed in the research include:

  • Remote Sensing and LiDAR Applications
  • Remote-Sensing Image Classification
  • Remote Sensing in Agriculture
  • Land Use and Ecosystem Services
  • Oil Palm Production and Sustainability
  • Flood Risk Assessment and Management
  • Remote Sensing and Land Use

Helmi Zulhaidi Mohd Shafri has contributed to numerous publications, including recent papers such as:

  • "Oil palm mapping over Peninsular Malaysia using Google Earth Engine and machine learning algorithms" (2020) published in Remote Sensing Applications Society and Environment
  • "Deep Convolutional Neural Network for Large-Scale Date Palm Tree Mapping from UAV-Based Images" (2021) published in Remote Sensing
  • "A Deep Learning Approach for Dengue Fever Prediction in Malaysia Using LSTM with Spatial Attention" (2023) published in International Journal of Environmental Research and Public Health
  • "Remotely-Sensed Ecosystem Health Assessment (RSEHA) model for assessing the changes of ecosystem health of Lake Urmia Basin" (2021) published in International Journal of Image and Data Fusion
  • "Improving Forest Above-Ground Biomass Estimation by Integrating Individual Machine Learning Models" (2024) published in Forests

The frequent co-authors collaborating with Helmi Zulhaidi Mohd Shafri include:

  • Aimrun Wayayok
  • Shaiful Jahari Hashim
  • Ahmad Fikri Abdullah
  • Yuhao Ang
  • Nur Shafira Nisa Shaharum

The research outputs are often disseminated in multiple publication venues, predominantly in:

  • IOP Conference Series Earth and Environmental Science
  • Remote Sensing
  • ISPRS International Journal of Geo-Information
  • Geocarto International
  • Remote Sensing Applications Society and Environment

Overall, the research profile underscores a focus on applying remote sensing and machine learning techniques across various environmental and agricultural domains, emphasizing ecosystem monitoring, mapping, and predictive modeling relevant to Malaysia and broader regional contexts.

Best Publications

  • The Performance of Maximum Likelihood, Spectral Angle Mapper, Neural Network and Decision Tree Classifiers in Hyperspectral Image Analysis

    Helmi Zulhaidi Mohd Shafri;Affendi Suhaili;Shattri Mansor

  • Lineament mapping and its application in landslide hazard assessment: a review

    Mohammad Firuz Ramli;N. Yusof;Mohd Kamil Yusoff;Hafizan Juahir

  • Hyperspectral imagery for mapping disease infection in oil palm plantation using vegetation indices and red edge techniques.

    Helmi Zulhaidi Mohd Shafri;Nasrulhapiza Hamdan

  • A review on hyperspectral remote sensing for homogeneous and heterogeneous forest biodiversity assessment

    Azadeh Ghiyamat;Helmi Z. M. Shafri

  • Young and mature oil palm tree detection and counting using convolutional neural network deep learning method

    Nurulain Abd Mubin;Eiswary Nadarajoo;Helmi Zulhaidi Mohd Shafri;Alireza Hamedianfar

  • Oil palm fruit bunch grading system using red, green and blue digital number.

    Meftah Salem M. Alfatni;Abdul Rashid Mohamed Shariff;Helmi Zulhaidi Mohd Shafri;Osama M. Ben Saaed

  • Image Classification in Remote Sensing

    Jwan Al-doski;Shattri B. Mansor;Helmi Zulhaidi Mohd Shafri

  • Data Fusion Technique Using Wavelet Transform and Taguchi Methods for Automatic Landslide Detection From Airborne Laser Scanning Data and QuickBird Satellite Imagery

    Biswajeet Pradhan;Mustafa Neamah Jebur;Helmi Zulhaidi Mohd Shafri;Mahyat Shafapour Tehrany

  • Early detection of basal stem rot disease Ganoderma in oil palms based on hyperspectral reflectance data using pattern recognition algorithms

    Shohreh Liaghat;Reza Ehsani;Shattri Mansor;Helmi Z. M. Shafri

  • Spatio-temporal analysis of urban growth from remote sensing data in Bandar Abbas city, Iran

    Mohsen Dadras;Mohsen Dadras;Helmi Z.M. Shafri;Noordin Ahmad;Biswajeet Pradhan

  • Classification of oil palm fresh fruit bunches based on their maturity using portable four-band sensor system

    Osama Mohammed Ben Saeed;Sindhuja Sankaran;Abdul Rashid Mohamed Shariff;Helmi Zulhaidi Mohd Shafri

  • Spectral discrimination of healthy and Ganoderma-infected oil palms from hyperspectral data

    Helmi Z. M. Shafri;Mohd I. Anuar;Idris A. Seman;Nisfariza M. Noor

  • An analysis of LULC change detection using remotely sensed data; A Case study of Bauchi City

    Unknown

  • Hyperspectral Remote Sensing of Vegetation Using Red Edge Position Techniques

    Helmi Zulhaidi Mohd Shafri;Mohamad Amran Mohd Salleh;Azadeh Ghiyamat

  • NDVI Differencing and Post-classification to Detect Vegetation Changes in Halabja City, Iraq.

    Shattri Mansor;Helmi Zulhaidi Mohd Shafri;Jwan Al-doski

  • Optimized Neural Architecture for Automatic Landslide Detection from High‐Resolution Airborne Laser Scanning Data

    Mustafa Ridha Mezaal;Biswajeet Pradhan;Maher Ibrahim Sameen;Helmi Zulhaidi Mohd Shafri

  • Semi-automatic detection and counting of oil palm trees from high spatial resolution airborne imagery

    Helmi Z. M. Shafri;Nasrulhapiza Hamdan;M. Iqbal Saripan

  • Hyperspectral discrimination of tree species with different classifications using single- and multiple-endmember

    Azadeh Ghiyamat;Helmi Zulhaidi Mohd Shafri;Ghafour Amouzad Mahdiraji;Abdul Rashid Mohamed Shariff

  • Per-pixel and object-oriented classification methods for mapping urban land cover extraction using SPOT 5 imagery

    Mustafa Neamah Jebur;Helmi Zulhaidi Mohd Shafri;Biswajeet Pradhan;Mahyat Shafapour Tehrany

  • Drone-based land-cover mapping using a fuzzy unordered rule induction algorithm integrated into object-based image analysis

    Bahareh Kalantar;Shattri Bin Mansor;Maher Ibrahim Sameen;Biswajeet Pradhan

  • Improving detailed rule-based feature extraction of urban areas from WorldView-2 image and lidar data

    Alireza Hamedianfar;Helmi Zulhaidi Mohd Shafri;Shattri Mansor;Noordin Ahmad

Frequent Co-Authors

Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
Hafizan Juahir
Hafizan Juahir Sultan Zainal Abidin University
Naonori Ueda
Naonori Ueda RIKEN
Sariah Meon
Sariah Meon Universiti Putra Malaysia
Alex M. Lechner
Alex M. Lechner Monash University
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Badrul Azhar
Badrul Azhar Universiti Putra Malaysia

External Links

Personal website of Helmi Zulhaidi Mohd Shafri

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Best Scientists Citing Helmi Zulhaidi Mohd Shafri

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Publications: 120

Saro Lee

Saro Lee

Korea Institute of Geoscience and Mineral Resources

Publications: 12

Thomas Blaschke

Thomas Blaschke

University of Salzburg

Publications: 11

Dieu Tien Bui

Dieu Tien Bui

University of South-Eastern Norway

Publications: 10

Hamid Reza Pourghasemi

Hamid Reza Pourghasemi

Shiraz University

Publications: 10

Omid Ghorbanzadeh

Omid Ghorbanzadeh

University of Salzburg

Publications: 8

Onisimo Mutanga

Onisimo Mutanga

University of KwaZulu-Natal

Publications: 8

Mazlan Hashim

Mazlan Hashim

University of Technology Malaysia

Publications: 7

Naonori Ueda

Naonori Ueda

RIKEN

Publications: 6

Omid Rahmati

Omid Rahmati

Agricultural Research Education And Extention Organization

Publications: 6

Himan Shahabi

Himan Shahabi

University of Kurdistan

Publications: 6

Le Yu

Le Yu

Tsinghua University

Publications: 6

Haoyuan Hong

Haoyuan Hong

Nanjing University of Information Science and Technology

Publications: 6

Amin Beiranvand Pour

Amin Beiranvand Pour

Universiti Malaysia Terengganu

Publications: 6

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Jon Atli Benediktsson

University of Iceland

Publications: 6

Ataollah Shirzadi

Ataollah Shirzadi

University of Kurdistan

Publications: 5

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