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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 63 1724 1639 107 96 215 19687

Amparo Galindo publications per year

The chart shows the history of publications by Amparo Galindo between 1991 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Amparo Galindo published across 35 years, from 1991 to 2025, averaging 7.5 papers a year. Output peaked at 27 publications in 2022. 22 of the 264 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1991 to 2025. Vertical axis: number of publications, 0 to 27. Peak 27 publications in 2022. 1991: 1 publication 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 1 publication 1997: 3 publications 1998: 6 publications 1999: 3 publications 2000: 1 publication 2001: 4 publications 2002: 8 publications 2003: 8 publications 2004: 3 publications 2005: 6 publications 2006: 7 publications 2007: 9 publications 2008: 7 publications 2009: 4 publications 2010: 13 publications 2011: 14 publications 2012: 9 publications 2013: 13 publications 2014: 12 publications 2015: 11 publications 2016: 12 publications 2017: 5 publications 2018: 6 publications 2019: 9 publications 2020: 12 publications 2021: 10 publications 2022: 27 publications 2023: 18 publications 2024: 11 publications 2025: 11 publications
1991 2025

264 publications in total across all disciplines

View publications per year as a table
Amparo Galindo: publications per year, 1991 to 2025
Year Publications
1991 1
1992 0
1993 0
1994 0
1995 0
1996 1
1997 3
1998 6
1999 3
2000 1
2001 4
2002 8
2003 8
2004 3
2005 6
2006 7
2007 9
2008 7
2009 4
2010 13
2011 14
2012 9
2013 13
2014 12
2015 11
2016 12
2017 5
2018 6
2019 9
2020 12
2021 10
2022 27
2023 18
2024 11
2025 11
Total 264
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Amparo Galindo 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 Amparo Galindo 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, 208–217 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: 215 publications — 53rd percentile

53% 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
208–217 317 215
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
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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Amparo Galindo 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 Amparo Galindo 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, 63 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: 63 D-Index — 83rd percentile

83% 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 63
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
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Overview

Amparo Galindo is affiliated with Imperial College London in the United Kingdom. Their research primarily spans the fields of Engineering and Chemistry, with significant work in subfields such as Biomedical Engineering, Control and Systems Engineering, Materials Chemistry, Fluid Flow and Transfer Processes, and Spectroscopy.

Their scientific contributions focus on several main topics, including:

  • Phase Equilibria and Thermodynamics
  • Thermodynamic properties of mixtures
  • Process Optimization and Integration
  • Crystallization and Solubility Studies
  • Chemical and Physical Properties in Aqueous Solutions
  • Chemical Thermodynamics and Molecular Structure
  • Analytical Chemistry and Chromatography

Galindo has authored multiple research articles, including notable recent papers such as:

  • "Expanding the Applications of the SAFT-γ Mie Group-Contribution Equation of State: Prediction of Thermodynamic Properties and Phase Behavior of Mixtures" (2020, Journal of Chemical & Engineering Data)
  • "Systematic study of the effect of the co-solvent on the performance of amine-based solvents for CO2 capture" (2021, Separation and Purification Technology)
  • "Computer Aided Design of Solvent Blends for Hybrid Cooling and Antisolvent Crystallization of Active Pharmaceutical Ingredients" (2021, Organic Process Research & Development)
  • "An approach for simultaneous computer-aided molecular design with holistic sustainability assessment: Application to phase-change CO2 capture solvents" (2020, Computers & Chemical Engineering)
  • "Molecular engineering of sustainable phase-change solvents: From digital design to scaling-up for CO2 capture" (2020, Chemical Engineering Journal)

Frequent collaborators in Galindo's work include George Jackson, Claire S. Adjiman, Andrew J. Haslam, Felipe A. Perdomo, and Malak Wehbe.

Publication venues where the scientist has been frequently published include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Molecular Physics
  • Computers & Chemical Engineering
  • Fluid Phase Equilibria
  • Industrial & Engineering Chemistry Research

Best Publications

  • Carbon capture and storage (CCS): the way forward

    Mai Bui;Claire S. Adjiman;André Bardow;Edward J. Anthony

  • An overview of CO2 capture technologies

    Niall MacDowell;Nick Florin;Antoine Buchard;Jason Hallett

  • An overview of CO 2 capture technologies

    N MacDowell;N Florin;A Buchard;J Hallett

  • Statistical associating fluid theory for chain molecules with attractive potentials of variable range

    Alejandro Gil-Villegas;Amparo Galindo;Paul J. Whitehead;Stuart J. Mills

  • Accurate statistical associating fluid theory for chain molecules formed from Mie segments

    Thomas Lafitte;Anastasia Apostolakou;Carlos Avendaño;Amparo Galindo

  • THE THERMODYNAMICS OF MIXTURES AND THE CORRESPONDING MIXING RULES IN THE SAFT-VR APPROACH FOR POTENTIALS OF VARIABLE RANGE

    Amparo Galindo;Lowri Davies;Alejandro Gil-Villegas;George Jackson

  • Group contribution methodology based on the statistical associating fluid theory for heteronuclear molecules formed from Mie segments

    Vasileios Papaioannou;Thomas Lafitte;Carlos Avendaño;Claire S. Adjiman

  • SAFT-γ force field for the simulation of molecular fluids. 1. A single-site coarse grained model of carbon dioxide.

    Carlos Avendaño;Thomas Lafitte;Amparo Galindo;Claire S. Adjiman

  • A group contribution method for associating chain molecules based on the statistical associating fluid theory (SAFT-γ)

    Alexandros Lymperiadis;Claire S. Adjiman;Amparo Galindo;George Jackson

  • SAFT-VRE: Phase Behavior of Electrolyte Solutions with the Statistical Associating Fluid Theory for Potentials of Variable Range

    Amparo Galindo;Alejandro Gil-Villegas;George Jackson;Andrew N. Burgess

  • Developing optimal Wertheim-like models of water for use in Statistical Associating Fluid Theory (SAFT) and related approaches

    Gary N. I. Clark;Andrew J. Haslam;Amparo Galindo;George Jackson

  • A potential model for methane in water describing correctly the solubility of the gas and the properties of the methane hydrate

    H. Docherty;A. Galindo;C. Vega;E. Sanz

  • Computer-aided molecular design of solvents for accelerated reaction kinetics

    Heiko Struebing;Zara Ganase;Panagiotis G. Karamertzanis;Eirini Siougkrou

  • SAFT-γ Force Field for the Simulation of Molecular Fluids: 2. Coarse-Grained Models of Greenhouse Gases, Refrigerants, and Long Alkanes

    Carlos Avendaño;Thomas Lafitte;Thomas Lafitte;Claire S. Adjiman;Amparo Galindo

  • Predicting the High-Pressure Phase Equilibria of Water + n-Alkanes Using a Simplified SAFT Theory with Transferable Intermolecular Interaction Parameters

    Amparo Galindo;and Paul J. Whitehead;George Jackson Andrew N. Burgess

  • A generalisation of the SAFT-γ group contribution method for groups comprising multiple spherical segments

    Alexandros Lymperiadis;Claire S. Adjiman;George Jackson;Amparo Galindo

  • The A in SAFT: developing the contribution of association to the Helmholtz free energy within a Wertheim TPT1 treatment of generic Mie fluids

    Simon Dufal;Thomas Lafitte;Andrew J. Haslam;Amparo Galindo

  • Prediction of Thermodynamic Properties and Phase Behavior of Fluids and Mixtures with the SAFT-γ Mie Group-Contribution Equation of State

    Simon Dufal;Vasileios Papaioannou;Majid Sadeqzadeh;Thomas Pogiatzis

  • Interfacial tension measurements and modelling of (carbon dioxide + n-alkane) and (carbon dioxide + water) binary mixtures at elevated pressures and temperatures

    Apostolos Georgiadis;Felix Llovell;Alexander Bismarck;Felipe J. Blas

  • Prediction of binary intermolecular potential parameters for use in modelling fluid mixtures

    Andrew J. Haslam;Amparo Galindo;George Jackson

  • Modeling the Fluid Phase Behavior of Carbon Dioxide in Aqueous Solutions of Monoethanolamine Using Transferable Parameters with the SAFT-VR Approach

    N. Mac Dowell;F. Llovell;C. S. Adjiman;G. Jackson

Frequent Co-Authors

George Jackson
George Jackson Imperial College London
Claire S. Adjiman
Claire S. Adjiman Imperial College London
Erich A. Müller
Erich A. Müller Imperial College London
Carlos Vega
Carlos Vega Complutense University of Madrid
Fèlix Llovell
Fèlix Llovell Rovira i Virgili University
J. P. Martin Trusler
J. P. Martin Trusler Imperial College London
Geoffrey C. Maitland
Geoffrey C. Maitland Imperial College London
Athanasios I. Papadopoulos
Athanasios I. Papadopoulos Centre for Research and Technology Hellas
Eduardo Sanz
Eduardo Sanz Complutense University of Madrid
Panos Seferlis
Panos Seferlis Aristotle University of Thessaloniki

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