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Alejandro A. Franco

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 51 3927 3765 71 69 224 8536

Alejandro A. Franco publications per year

The chart shows the history of publications by Alejandro A. Franco between 2002 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Alejandro A. Franco published across 24 years, from 2002 to 2025, averaging 14.4 papers a year. Output peaked at 45 publications in 2025. 79 of the 345 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2002 to 2025. Vertical axis: number of publications, 0 to 45. Peak 45 publications in 2025. 2002: 1 publication 2003: 2 publications 2004: 0 publications 2005: 1 publication 2006: 3 publications 2007: 3 publications 2008: 4 publications 2009: 12 publications 2010: 14 publications 2011: 13 publications 2012: 9 publications 2013: 13 publications 2014: 12 publications 2015: 9 publications 2016: 17 publications 2017: 10 publications 2018: 8 publications 2019: 10 publications 2020: 18 publications 2021: 35 publications 2022: 41 publications 2023: 31 publications 2024: 34 publications 2025: 45 publications
2002 2025

345 publications in total across all disciplines

View publications per year as a table
Alejandro A. Franco: publications per year, 2002 to 2025
Year Publications
2002 1
2003 2
2004 0
2005 1
2006 3
2007 3
2008 4
2009 12
2010 14
2011 13
2012 9
2013 13
2014 12
2015 9
2016 17
2017 10
2018 8
2019 10
2020 18
2021 35
2022 41
2023 31
2024 34
2025 45
Total 345
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Alejandro A. Franco 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 Alejandro A. Franco 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, 218–227 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: 224 publications — 56th percentile

56% 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
218–227 346 224
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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Alejandro A. Franco 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 Alejandro A. Franco 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, 51 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: 51 D-Index — 62nd percentile

62% 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 51
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

Alejandro A. Franco is affiliated with the University of Picardie Jules Verne in France. Their research primarily focuses on engineering, with a strong emphasis on electrical and electronic engineering, automotive engineering, materials chemistry, mechanical engineering, and industrial and manufacturing engineering.

Their work covers several main topics including:

  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Advanced Battery Materials and Technologies
  • Machine Learning in Materials Science
  • Extraction and Separation Processes
  • Supercapacitor Materials and Fabrication
  • Fuel Cells and Related Materials

Recent publications by Alejandro A. Franco illustrate their research interests and contributions to the field:

  • "Artificial Intelligence Applied to Battery Research: Hype or Reality?" (2021) published in Chemical Reviews
  • "Rechargeable Batteries of the Future-The State of the Art from a BATTERY 2030+ Perspective" (2021) published in Advanced Energy Materials
  • "Investigating electrode calendering and its impact on electrochemical performance by means of a new discrete element method model: Towards a digital twin of Li-Ion battery manufacturing" (2020) published in Journal of Power Sources
  • "A Roadmap for Transforming Research to Invent the Batteries of the Future Designed within the European Large Scale Research Initiative BATTERY 2030+" (2022) published in Advanced Energy Materials
  • "Bridging nano- and microscale X-ray tomography for battery research by leveraging artificial intelligence" (2022) published in Nature Nanotechnology

Alejandro A. Franco frequently collaborates with other researchers, including:

  • Mehdi Chouchane
  • Franco M. Zanotto
  • Marc Duquesnoy
  • Teo Lombardo
  • Alain C. Ngandjong

The most common venues for Alejandro's publications are:

  • Batteries & Supercaps
  • ECS Meeting Abstracts
  • Journal of Power Sources
  • Energy Storage Materials
  • SSRN Electronic Journal

Best Publications

  • Rechargeable Batteries of the Future—The State of the Art from a BATTERY 2030+ Perspective

    Unknown

  • Artificial Intelligence Applied to Battery Research: Hype or Reality?

    Teo Lombardo;Marc Duquesnoy;Marc Duquesnoy;Hassna El-Bouysidy;Hassna El-Bouysidy;Hassna El-Bouysidy;Fabian Årén

  • Multiscale modelling and numerical simulation of rechargeable lithium ion batteries: concepts, methods and challenges

    Alejandro A. Franco;Alejandro A. Franco

  • Boosting Rechargeable Batteries R&D by Multiscale Modeling: Myth or Reality?

    Alejandro A. Franco;Alexis Rucci;Alexis Rucci;Daniel Brandell;Christine Frayret;Christine Frayret

  • Performance and degradation of Proton Exchange Membrane Fuel Cells: State of the art in modeling from atomistic to system scale

    Thomas Jahnke;Georg Futter;Arnulf Latz;Thomas Malkow

  • A Roadmap for Transforming Research to Invent the Batteries of the Future Designed within the European Large Scale Research Initiative BATTERY 2030+

    Unknown

  • Investigating electrode calendering and its impact on electrochemical performance by means of a new discrete element method model: Towards a digital twin of Li-Ion battery manufacturing

    Alain C. Ngandjong;Alain C. Ngandjong;Teo Lombardo;Teo Lombardo;Emiliano N. Primo;Emiliano N. Primo;Mehdi Chouchane;Mehdi Chouchane

  • Digitalization of Battery Manufacturing: Current Status, Challenges, and Opportunities

    Unknown

  • Bridging Nano and Micro-scale X-ray Tomography for Battery Research by Leveraging Artificial Intelligence

    Jonathan Scharf;Mehdi Chouchane;Donal P. Finegan;Bingyu Lu

  • A Multi‐Scale Dynamic Mechanistic Model for the Transient Analysis of PEFCs

    A. A. Franco;P. Schott;C. Jallut;B. Maschke

  • How Machine Learning Will Revolutionize Electrochemical Sciences.

    Aashutosh Mistry;Alejandro A. Franco;Samuel J. Cooper;Scott A. Roberts

  • Artificial Intelligence Investigation of NMC Cathode Manufacturing Parameters Interdependencies

    Ricardo Pinto Cunha;Ricardo Pinto Cunha;Teo Lombardo;Teo Lombardo;Emiliano N. Primo;Emiliano N. Primo;Alejandro A. Franco

  • Multiscale Model of Carbon Corrosion in a PEFC: Coupling with Electrocatalysis and Impact on Performance Degradation

    Alejandro A. Franco;Mathias Gerard

  • Transient multiscale modeling of aging mechanisms in a PEFC cathode

    Alejandro A. Franco;Moussa Tembely

  • Lithium ion battery electrodes predicted from manufacturing simulations: Assessing the impact of the carbon-binder spatial location on the electrochemical performance

    Mehdi Chouchane;Mehdi Chouchane;Alexis Rucci;Alexis Rucci;Teo Lombardo;Teo Lombardo;Alain C. Ngandjong;Alain C. Ngandjong

  • Deconvoluting benefits of porosity distribution in layered electrodes on electrochemical performance of Li-ion batteries

    Unknown

  • A Dynamic Mechanistic Model of an Electrochemical Interface

    Alejandro A. Franco;Pascal Schott;Christian Jallut;Bernhard Maschke

  • Machine Learning-Assisted Multi-Objective Optimization of Battery Manufacturing from Synthetic Data Generated by Physics-Based Simulations

    Unknown

  • Impact of carbon monoxide on PEFC catalyst carbon support degradation under current-cycled operating conditions

    Alejandro A. Franco;Magalie Guinard;Benoit Barthe;Olivier Lemaire

  • Data-driven assessment of electrode calendering process by combining experimental results, in silico mesostructures generation and machine learning

    Marc Duquesnoy;Marc Duquesnoy;Teo Lombardo;Teo Lombardo;Mehdi Chouchane;Mehdi Chouchane;Emiliano N. Primo;Emiliano N. Primo

  • Impact of the Cathode Microstructure on the Discharge Performance of Lithium Air Batteries: A Multiscale Model

    Kan-Hao Xue;Kan-Hao Xue;Trong-Khoa Nguyen;Trong-Khoa Nguyen;Alejandro A. Franco;Alejandro A. Franco

  • Microstructure-based modeling of aging mechanisms in catalyst layers of polymer electrolyte fuel cells.

    Kourosh Malek;Kourosh Malek;Alejandro A. Franco

  • A multiscale theoretical methodology for the calculation of electrochemical observables from ab initio data: Application to the oxygen reduction reaction in a Pt(111)-based polymer electrolyte membrane fuel cell

    Rodrigo Ferreira de Morais;Philippe Sautet;David Loffreda;Alejandro A. Franco

  • Multi-scale coupling between two dynamical models for PEMFC aging prediction

    Christophe Robin;Mathias Gerard;Alejandro A. Franco;Pascal Schott

  • A Comprehensive Model for Non-Aqueous Lithium Air Batteries Involving Different Reaction Mechanisms

    Kan-Hao Xue;Kan-Hao Xue;Euan McTurk;Lee Johnson;Peter G. Bruce

Frequent Co-Authors

Patrik Johansson
Patrik Johansson Uppsala University
Philippe Sautet
Philippe Sautet University of California, Los Angeles
Wolfgang G. Bessler
Wolfgang G. Bessler Offenburg University of Applied Sciences
Clare P. Grey
Clare P. Grey University of Cambridge
Mathieu Morcrette
Mathieu Morcrette University of Picardie Jules Verne
Gérard Gebel
Gérard Gebel Grenoble Alpes University
Ying Shirley Meng
Ying Shirley Meng University of Chicago
Alexis Grimaud
Alexis Grimaud Collège de France
Patrice Simon
Patrice Simon Paul Sabatier University
Sarah H. Tolbert
Sarah H. Tolbert University of California, Los Angeles

External Links

Personal website of Alejandro A. Franco

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Best Scientists Citing Alejandro A. Franco

Andrei Kulikovsky

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Publications: 35

Arnulf Latz

Arnulf Latz

German Aerospace Center

Publications: 24

Wolfgang G. Bessler

Wolfgang G. Bessler

Offenburg University of Applied Sciences

Publications: 19

Partha P. Mukherjee

Partha P. Mukherjee

Purdue University West Lafayette

Publications: 15

Martin Z. Bazant

Martin Z. Bazant

MIT

Publications: 14

Werner Lehnert

Werner Lehnert

RWTH Aachen University

Publications: 14

Liangfei Xu

Liangfei Xu

Tsinghua University

Publications: 13

Daniel Hissel

Daniel Hissel

University of Franche-Comté

Publications: 12

Ulrike Krewer

Ulrike Krewer

Karlsruhe Institute of Technology

Publications: 9

Paul R. Shearing

Paul R. Shearing

University College London

Publications: 9

Marie-Cécile Péra

Marie-Cécile Péra

Centre national de la recherche scientifique, CNRS

Publications: 8

Adam Z. Weber

Adam Z. Weber

Lawrence Berkeley National Laboratory

Publications: 8

Dan J. L. Brett

Dan J. L. Brett

University College London

Publications: 8

Yang Shao-Horn

Yang Shao-Horn

MIT

Publications: 7

Minggao Ouyang

Minggao Ouyang

Tsinghua University

Publications: 7

Jianqiu Li

Jianqiu Li

Tsinghua University

Publications: 7

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