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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 34 12237 11880 373 372 223 4501

Mahardhika Pratama publications per year

The chart shows the history of publications by Mahardhika Pratama between 2009 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mahardhika Pratama published across 17 years, from 2009 to 2025, averaging 16.8 papers a year. Output peaked at 50 publications in 2018. 63 of the 286 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 2009 to 2025. Vertical axis: number of publications, 0 to 50. Peak 50 publications in 2018. 2009: 1 publication 2010: 1 publication 2011: 4 publications 2012: 0 publications 2013: 4 publications 2014: 6 publications 2015: 5 publications 2016: 12 publications 2017: 24 publications 2018: 50 publications 2019: 42 publications 2020: 22 publications 2021: 24 publications 2022: 17 publications 2023: 11 publications 2024: 29 publications 2025: 34 publications
2009 2025

286 publications in total across all disciplines

View publications per year as a table
Mahardhika Pratama: publications per year, 2009 to 2025
Year Publications
2009 1
2010 1
2011 4
2012 0
2013 4
2014 6
2015 5
2016 12
2017 24
2018 50
2019 42
2020 22
2021 24
2022 17
2023 11
2024 29
2025 34
Total 286
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Mahardhika Pratama publications per year - data summary

  • Mahardhika Pratama, a Computer Science scholar from University of South Australia, has 286 publications recorded across 17 years, from 2009 to 2025.
  • The oldest publication on record dates to 2009 and the most recent to 2025.
  • The most productive year is 2018, with 50 publications.
  • The least productive years with any output are 2009 and 2010, with 1 publication each.
  • 1 of the 17 years in the span carries no publications at all (2012).
  • The rate of publication averages 16.8 papers per year over the whole span, or 17.9 per year counting only the 16 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 115 publications, 40% of the career total.
  • Split into equal eras - 2009-2014: 16 publications (2.7 per year); 2015-2020: 155 publications (25.8 per year); 2021-2025: 115 publications (23.0 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Mahardhika Pratama 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 Mahardhika Pratama 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, 222–231 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: 223 publications — 54th percentile

54% 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
202–211 508
212–221 490
222–231 437 223
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
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Mahardhika Pratama publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Mahardhika Pratama, a Computer Science scholar from University of South Australia, records 223 publications - the 54th percentile of the discipline.
  • 54% of ranked Computer Science scientists score the same or lower than Mahardhika Pratama, and about 46% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Mahardhika Pratama ranks above the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 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 991 publications or more, 100 scientists in all (<1% of the field).

Mahardhika Pratama 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 Mahardhika Pratama 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, 34–35 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: 34 D-Index — 16th percentile

16% 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 34
36–37 990
38–39 968
40–41 907
42–43 821
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
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Mahardhika Pratama D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Mahardhika Pratama, a Computer Science scholar from University of South Australia, records 34 D-Index - the 16th percentile of the discipline.
  • 16% of ranked Computer Science scientists score the same or lower than Mahardhika Pratama, and about 84% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Mahardhika Pratama ranks below the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 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 131 D-Index or more, 98 scientists in all (<1% of the field).

Overview

Mahardhika Pratama is affiliated with the University of South Australia in Australia and has made significant contributions to the field of computer science, with a particular focus on artificial intelligence, computer vision, signal processing, information systems, and control and systems engineering. The research output predominantly concentrates on areas such as domain adaptation and few-shot learning, data stream mining techniques, machine learning including extreme learning machines (ELM), multimodal machine learning applications, anomaly detection techniques, neural networks, and time series analysis and forecasting.

The scientist's recent publications include studies that address both theoretical and applied aspects in these specialized areas. Selected works include:

  • "Modeling and spatio-temporal analysis of city-level carbon emissions based on nighttime light satellite imagery," 2020, Applied Energy
  • "DEVDAN: deep evolving denoising autoencoder," 2020, UniSA Research Outputs Repository (University of South Australia)
  • "An incremental construction of deep neuro fuzzy system for continual learning of nonstationary data streams," 2020, UniSA Research Outputs Repository (University of South Australia)
  • "PAC: a novel self-adaptive neuro-fuzzy controller for micro aerial vehicles," 2020, UniSA Research Outputs Repository (University of South Australia)
  • "Robustness Evaluation of Multipartite Complex Networks Based on Percolation Theory," 2020, IEEE Transactions on Systems Man and Cybernetics Systems

Frequent co-authors in Mahardhika Pratama's research include Edwin Lughofer, Ryszard Kowalczyk, M. Anwar Ma'sum, Lin Liu, and Sreenatha G. Anavatti.

Publications are often disseminated through venues such as arXiv (Cornell University), Information Sciences, Knowledge-Based Systems, UniSA Research Outputs Repository (University of South Australia), and IEEE Transactions on Neural Networks and Learning Systems.

The body of work primarily centers on computer science with strong roots in artificial intelligence. The convergence of machine learning techniques with practical applications such as continual learning from nonstationary data streams, and self-adaptive control systems for micro aerial vehicles, reflects a multidisciplinary approach intersecting signal processing and control engineering.

Best Publications

  • PANFIS: A Novel Incremental Learning Machine

    Mahardhika Pratama;Sreenatha G. Anavatti;Plamen P. Angelov;Edwin Lughofer

  • GENEFIS: Toward an Effective Localist Network

    Mahardhika Pratama;Sreenatha G. Anavatti;Edwin Lughofer

  • Generalized smart evolving fuzzy systems

    Edwin Lughofer;Carlos Cernuda;Stefan Kindermann;Mahardhika Pratama

  • An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks

    Mahardhika Pratama;Jie Lu;Edwin Lughofer;Guangquan Zhang

  • Attention pooling-based convolutional neural network for sentence modelling

    Meng Joo Er;Yong Zhang;Ning Wang;Mahardhika Pratama

  • Evolving Type-2 Fuzzy Classifier

    Mahardhika Pratama;Jie Lu;Guangquan Zhang

  • pClass: An Effective Classifier for Streaming Examples

    Mahardhika Pratama;Sreenatha G. Anavatti;Meng Joo;Edwin David Lughofer

  • Modeling and spatio-temporal analysis of city-level carbon emissions based on nighttime light satellite imagery

    Di Yang;Weixin Luan;Lu Qiao;Mahardhika Pratama

  • Evolving Ensemble Fuzzy Classifier

    Mahardhika Pratama;Witold Pedrycz;Edwin Lughofer

  • An incremental meta-cognitive-based scaffolding fuzzy neural network

    Mahardhika Pratama;Jie Lu;Sreenatha Anavatti;Edwin Lughofer

  • Online Active Learning in Data Stream Regression Using Uncertainty Sampling Based on Evolving Generalized Fuzzy Models

    Edwin Lughofer;Mahardhika Pratama

  • Recurrent Classifier Based on an Incremental Metacognitive-Based Scaffolding Algorithm

    Mahardhika Pratama;Sreenatha G. Anavatti;Jie Lu

  • Multiview Convolutional Neural Networks for Multidocument Extractive Summarization

    Yong Zhang;Meng Joo Er;Rui Zhao;Mahardhika Pratama

  • Scaffolding type-2 classifier for incremental learning under concept drifts

    Mahardhika Pratama;Jie Lu;Edwin Lughofer;Guangquan Zhang

  • DEVDAN: Deep evolving denoising autoencoder

    Andri Ashfahani;Mahardhika Pratama;Edwin Lughofer;Yew-Soon Ong

  • Incremental Rule Splitting in Generalized Evolving Fuzzy Systems for Autonomous Drift Compensation

    Edwin Lughofer;Mahardhika Pratama;Igor Skrjanc

  • Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments.

    Andri Ashfahani;Mahardhika Pratama

  • An Incremental Type-2 Meta-Cognitive Extreme Learning Machine

    Mahardhika Pratama;Guangquan Zhang;Meng Joo Er;Sreenatha Anavatti

  • Data driven modeling based on dynamic parsimonious fuzzy neural network

    Mahardhika Pratama;Meng Joo Er;Xiang Li;Richard J. Oentaryo

  • Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams

    Mahardhika Pratama;Dianhui Wang;Dianhui Wang

  • Parsimonious Network Based on a Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis

    Wahyu Caesarendra;Mahardhika Pratama;Buyung Kosasih;Tegoeh Tjahjowidodo

  • Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments

    Andri Ashfahani;Mahardhika Pratama

Frequent Co-Authors

Edwin Lughofer
Edwin Lughofer Johannes Kepler University of Linz
Meng Joo Er
Meng Joo Er Dalian Maritime University
Jie Lu
Jie Lu University of Technology Sydney
Suresh Sundaram
Suresh Sundaram Indian Institute of Science
Guangquan Zhang
Guangquan Zhang University of Technology Sydney
Chee Peng Lim
Chee Peng Lim Swinburne University of Technology
Dianhui Wang
Dianhui Wang La Trobe University
Igor Škrjanc
Igor Škrjanc University of Ljubljana
Ning Wang
Ning Wang Dalian Maritime University

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