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Raymond R. Tan

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 69 1128 1066 1 1 527 18464

Raymond R. Tan publications per year

The chart shows the history of publications by Raymond R. Tan between 2002 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Raymond R. Tan published across 24 years, from 2002 to 2025, averaging 27.3 papers a year. Output peaked at 61 publications in 2022. 56 of the 656 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2002 to 2025. Vertical axis: number of publications, 0 to 61. Peak 61 publications in 2022. 2002: 2 publications 2003: 0 publications 2004: 6 publications 2005: 5 publications 2006: 3 publications 2007: 16 publications 2008: 12 publications 2009: 19 publications 2010: 13 publications 2011: 24 publications 2012: 12 publications 2013: 23 publications 2014: 37 publications 2015: 39 publications 2016: 39 publications 2017: 46 publications 2018: 38 publications 2019: 60 publications 2020: 54 publications 2021: 59 publications 2022: 61 publications 2023: 32 publications 2024: 30 publications 2025: 26 publications
2002 2025

656 publications in total across all disciplines

View publications per year as a table
Raymond R. Tan: publications per year, 2002 to 2025
Year Publications
2002 2
2003 0
2004 6
2005 5
2006 3
2007 16
2008 12
2009 19
2010 13
2011 24
2012 12
2013 23
2014 37
2015 39
2016 39
2017 46
2018 38
2019 60
2020 54
2021 59
2022 61
2023 32
2024 30
2025 26
Total 656
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Raymond R. Tan 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 Raymond R. Tan 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, 518–527 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: 527 publications — 95th percentile

95% 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
488–497 29
498–507 38
508–517 40
518–527 32 527
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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Raymond R. Tan 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 Raymond R. Tan 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, 69 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: 69 D-Index — 89th percentile

89% 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 69
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

Raymond R. Tan is affiliated with De La Salle University in the Philippines. Their research spans multiple areas primarily within engineering and environmental science, focusing on subfields such as control and systems engineering, environmental engineering, mechanical engineering, electrical and electronic engineering, and strategy and management.

Their extensive publication record includes contributions to notable journals and venues such as DOAJ (Directory of Open Access Journals), the Journal of Cleaner Production, Process Integration and Optimization for Sustainability, Clean Technologies and Environmental Policy, and Resources Conservation and Recycling.

Tan's research topics cover a range of specialized themes including process optimization and integration, environmental impact and sustainability, sustainable supply chain management, carbon dioxide capture technologies, climate change policy and economics, integrated energy systems optimization, and advanced control systems optimization.

Some of their recent published papers include:

  • Minimising the present and future plastic waste, energy and environmental footprints related to COVID-19, 2020, Renewable and Sustainable Energy Reviews
  • Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis, 2020, Sustainable Production and Consumption
  • An improved moth-flame optimization algorithm for support vector machine prediction of photovoltaic power generation, 2020, Journal of Cleaner Production
  • Forecasting plastic waste generation and interventions for environmental hazard mitigation, 2021, Journal of Hazardous Materials
  • Global projections of plastic use, end-of-life fate and potential changes in consumption, reduction, recycling and replacement with bioplastics to 2050, 2024, Sustainable Production and Consumption

Tan frequently collaborates with several co-authors, including Kathleen B. Aviso, Dominic C.Y. Foo, Xiaoping Jia, Maria Victoria Migo-Sumagang, and Zhiwei Li, reflecting active engagement in multidisciplinary team research.

Best Publications

  • Minimising the present and future plastic waste, energy and environmental footprints related to COVID-19

    Jiří Jaromír Klemeš;Yee Van Fan;Raymond R. Tan;Peng Jiang

  • Sustainable consumption and production for Asia: sustainability through green design and practice

    Ming-Lang Tseng;Ming-Lang Tseng;Shun Fung Chiu;Raymond R. Tan;Anna Bella Siriban-Manalang;Anna Bella Siriban-Manalang

  • Circular economy meets industry 4.0: Can big data drive industrial symbiosis?

    Ming-Lang Tseng;Raymond R. Tan;Anthony S.F. Chiu;Chen-Fu Chien

  • Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm

    Ling Ling Li;Xue Zhao;Ming Lang Tseng;Ming Lang Tseng;Raymond R. Tan

  • A review of optimization and decision-making models for the planning of CO2 capture, utilization and storage (CCUS) systems

    John Frederick D. Tapia;Jui Yuan Lee;Raymond E.H. Ooi;Dominic C.Y. Foo

  • Pinch analysis approach to carbon-constrained energy sector planning

    Raymond R. Tan;Dominic C.Y. Foo

  • Net energy analysis of the production of biodiesel and biogas from the microalgae: Haematococcus pluvialis and Nannochloropsis

    Luis F. Razon;Raymond Girard R. Tan

  • Flexible Carbon Capture and Utilization technologies in future energy systems and the utilization pathways of captured CO2

    Hrvoje Mikulčić;Iva Ridjan Skov;Dominik Franjo Dominković;Sharifah Rafidah Wan Alwi

  • Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

    Tat-Dat Bui;Feng Ming Tsai;Ming-Lang Tseng;Ming-Lang Tseng;Ming-Lang Tseng;Raymond R. Tan

  • Bi-level fuzzy optimization approach for water exchange in eco-industrial parks

    Kathleen B. Aviso;Raymond R. Tan;Alvin B. Culaba;Jose B. Cruz

  • Game theory approach to the analysis of inter-plant water integration in an eco-industrial park

    Irene Mei Leng Chew;Raymond R. Tan;Dominic Chwan Yee Foo;Anthony Shun Fung Chiu

  • Synthesis of Direct and Indirect Interplant Water Network

    Irene Mei Leng Chew;Raymond Tan;Denny Kok Sum Ng;Dominic Chwan Yee Foo

  • Automated Targeting Technique for Single-Impurity Resource Conservation Networks. Part 2: Single-Pass and Partitioning Waste-Interception Systems

    Denny Kok Sum Ng;Dominic Chwan Yee Foo;Raymond R. Tan

  • An improved moth-flame optimization algorithm for support vector machine prediction of photovoltaic power generation

    Guo-Qian Lin;Ling-Ling Li;Ming-Lang Tseng;Ming-Lang Tseng;Ming-Lang Tseng;Han-Min Liu

  • Fuzzy input–output model for optimizing eco-industrial supply chains under water footprint constraints

    Kathleen B. Aviso;Raymond R. Tan;Alvin B. Culaba;Jose B. Cruz

  • Fuzzy AHP approach to selection problems in process engineering involving quantitative and qualitative aspects

    R.R. Tan;K.B. Aviso;A.P. Huelgas;M.A.B. Promentilla

  • Automated Targeting Technique for Single-Impurity Resource Conservation Networks. Part 1: Direct Reuse/Recycle

    Denny Kok Sum Ng;Dominic Chwan Yee Foo;Raymond R. Tan

  • Pinch analysis approach to carbon-constrained planningfor sustainable power generation

    Raymond R. Tan;Denny Kok Sum Ng;Dominic Chwan Yee Foo

  • Effect of process parameters on hydrothermal liquefaction of oil palm biomass for bio-oil production and its life cycle assessment.

    Yi Herng Chan;Suzana Yusup;Armando T. Quitain;Raymond R. Tan

  • Extended pinch targeting techniques for carbon-constrained energy sector planning

    Sin Cherng Lee;Denny Kok Sum Ng;Dominic Chwan Yee Foo;Raymond R. Tan

  • Optimal energy planning models with carbon footprint constraints

    Łukasz M. Pękala;Raymond R. Tan;Dominic C.Y. Foo;Jacek M. Jeżowski

  • Carbon and footprint-constrained energy planning using cascade analysis technique

    Dominic Chwan Yee Foo;Raymond R. Tan;Denny K. S. Ng

Frequent Co-Authors

Dominic C.Y. Foo
Dominic C.Y. Foo University of Nottingham Malaysia Campus
Denny K. S. Ng
Denny K. S. Ng Sunway University
Ming-Lang Tseng
Ming-Lang Tseng Asian University
Anthony S.F. Chiu
Anthony S.F. Chiu De La Salle University
Santanu Bandyopadhyay
Santanu Bandyopadhyay Indian Institute of Technology Bombay
Mahmoud M. El-Halwagi
Mahmoud M. El-Halwagi Texas A&M University
Hon Loong Lam
Hon Loong Lam University of Nottingham Malaysia Campus
Jiří Jaromír Klemeš
Jiří Jaromír Klemeš Brno University of Technology
Jose B. Cruz
Jose B. Cruz The Ohio State University
Suzana Yusup
Suzana Yusup Sunway University

External Links

Personal website of Raymond R. Tan Google Scholar page

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Related Online Degrees & Career Pathways

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Best Scientists Citing Raymond R. Tan

Mahmoud M. El-Halwagi

Mahmoud M. El-Halwagi

Texas A&M University

Publications: 102

Jiří Jaromír Klemeš

Jiří Jaromír Klemeš

Brno University of Technology

Publications: 98

Denny K. S. Ng

Denny K. S. Ng

Sunway University

Publications: 73

Dominic C.Y. Foo

Dominic C.Y. Foo

University of Nottingham Malaysia Campus

Publications: 69

Ming-Lang Tseng

Ming-Lang Tseng

Asian University

Publications: 58

Petar Sabev Varbanov

Petar Sabev Varbanov

Brno University of Technology

Publications: 44

José María Ponce-Ortega

José María Ponce-Ortega

Universidad Michoacana de San Nicolás de Hidalgo

Publications: 43

Guohe Huang

Guohe Huang

University of Regina

Publications: 38

Xiao Feng

Xiao Feng

Xi'an Jiaotong University

Publications: 37

Sharifah Rafidah Wan Alwi

Sharifah Rafidah Wan Alwi

University of Technology Malaysia

Publications: 35

Santanu Bandyopadhyay

Santanu Bandyopadhyay

Indian Institute of Technology Bombay

Publications: 33

Hon Loong Lam

Hon Loong Lam

University of Nottingham Malaysia Campus

Publications: 32

Patrick Linke

Patrick Linke

Texas A&M University at Qatar

Publications: 29

Wei-Hsin Chen

Wei-Hsin Chen

National Cheng Kung University

Publications: 27

Zainuddin Abdul Manan

Zainuddin Abdul Manan

University of Technology Malaysia

Publications: 24

Medardo Serna-González

Medardo Serna-González

Universidad Michoacana de San Nicolás de Hidalgo

Publications: 22

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