Miguel Bernal

1.7k total citations · 1 hit paper
19 papers, 1.4k citations indexed

About

Miguel Bernal is a scholar working on Electrochemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Miguel Bernal has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrochemistry, 9 papers in Electrical and Electronic Engineering and 9 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Miguel Bernal's work include Electrochemical Analysis and Applications (10 papers), Electrocatalysts for Energy Conversion (7 papers) and Electrodeposition and Electroless Coatings (6 papers). Miguel Bernal is often cited by papers focused on Electrochemical Analysis and Applications (10 papers), Electrocatalysts for Energy Conversion (7 papers) and Electrodeposition and Electroless Coatings (6 papers). Miguel Bernal collaborates with scholars based in Belgium, Germany and United States. Miguel Bernal's co-authors include Beatriz Roldán Cuenya, Ilya Sinev, Arno Bergmann, Fabian Scholten, Ioannis Zegkinoglou, Sebastian Kunze, Thomas Merzdorf, Zhenhua Zeng, Dingxin Fan and Peter Strasser and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and ACS Nano.

In The Last Decade

Miguel Bernal

18 papers receiving 1.4k citations

Hit Papers

In-situ structure and cat... 2020 2026 2022 2024 2020 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Miguel Bernal Belgium 12 1.2k 822 431 295 214 19 1.4k
Xichen Zhou China 15 1.0k 0.9× 714 0.9× 508 1.2× 174 0.6× 168 0.8× 24 1.3k
Stefano Mezzavilla Germany 15 994 0.8× 745 0.9× 385 0.9× 212 0.7× 158 0.7× 20 1.2k
You‐Chiuan Chu Taiwan 13 947 0.8× 588 0.7× 356 0.8× 207 0.7× 220 1.0× 20 1.1k
Eko Budiyanto Germany 14 921 0.8× 731 0.9× 419 1.0× 236 0.8× 152 0.7× 30 1.2k
Sylvain Brimaud Germany 20 963 0.8× 670 0.8× 514 1.2× 418 1.4× 134 0.6× 41 1.2k
Shao‐Jin Hu China 15 1.8k 1.5× 1.1k 1.3× 701 1.6× 267 0.9× 447 2.1× 22 2.1k
Tobias Binninger Switzerland 15 2.0k 1.7× 1.6k 1.9× 735 1.7× 487 1.7× 170 0.8× 37 2.3k
Milutin Smiljanić Serbia 18 1.1k 1.0× 536 0.7× 415 1.0× 266 0.9× 416 1.9× 45 1.3k
Vitali Grozovski Estonia 17 864 0.7× 453 0.6× 372 0.9× 368 1.2× 326 1.5× 43 1.1k
Lone Bech Denmark 9 1.7k 1.5× 815 1.0× 857 2.0× 245 0.8× 509 2.4× 11 2.0k

Countries citing papers authored by Miguel Bernal

Since Specialization
Citations

This map shows the geographic impact of Miguel Bernal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Miguel Bernal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Bernal more than expected).

Fields of papers citing papers by Miguel Bernal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel Bernal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Miguel Bernal. The network helps show where Miguel Bernal may publish in the future.

Co-authorship network of co-authors of Miguel Bernal

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Bernal. A scholar is included among the top collaborators of Miguel Bernal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miguel Bernal. Miguel Bernal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Bernal, Miguel, et al.. (2024). Deciphering Spatially‐Resolved Electrochemical Nucleation and Growth Kinetics by Correlative Multimicroscopy. Small Methods. 9(4). e2401029–e2401029.
3.
Bernal, Miguel, et al.. (2023). Electrochemical nucleation and the role of the surface state: unraveling activity distributions with a cross-system examination and a local electrochemistry approach. Journal of Solid State Electrochemistry. 28(5). 1719–1734. 7 indexed citations
4.
Coelho, Leonardo Bertolucci, et al.. (2023). Estimating pitting descriptors of 316 L stainless steel by machine learning and statistical analysis. npj Materials Degradation. 7(1). 17 indexed citations
5.
Bernal, Miguel, et al.. (2023). A microscopic view on the electrochemical deposition and dissolution of Au with scanning electrochemical cell microscopy – Part I. Electrochimica Acta. 445. 142023–142023. 14 indexed citations
6.
Coelho, Leonardo Bertolucci, et al.. (2023). Probing the randomness of the local current distributions of 316 L stainless steel corrosion in NaCl solution. Corrosion Science. 217. 111104–111104. 23 indexed citations
7.
Bernal, Miguel, et al.. (2022). Distribution of Copper Electrochemical Nucleation Activities on Glassy Carbon: A New Perspective Based on Local Electrochemistry. Journal of The Electrochemical Society. 169(10). 102513–102513. 15 indexed citations
8.
Bernal, Miguel, et al.. (2022). Diversity Matters: Influence of Surface Heterogeneities in the Electrochemical Nucleation and Dissolution of Au Nanoparticles. ECS Meeting Abstracts. MA2022-01(23). 1183–1183. 1 indexed citations
9.
Bernal, Miguel, et al.. (2022). The Distribution of Nucleation Activities: A New Local Perspective with Scanning Electrochemical Cell Microscopy. ECS Meeting Abstracts. MA2022-01(23). 1203–1203. 1 indexed citations
10.
Bernal, Miguel & Jon Ustarroz. (2021). Electrodeposition of nanostructured catalysts for electrochemical energy conversion: Current trends and innovative strategies. Current Opinion in Electrochemistry. 27. 100688–100688. 50 indexed citations
11.
Kunze, Sebastian, Philipp Grosse, Miguel Bernal, et al.. (2020). Operando NRIXS and XAFS Investigation of Segregation Phenomena in Fe‐Cu and Fe‐Ag Nanoparticle Catalysts during CO2 Electroreduction. Angewandte Chemie International Edition. 59(50). 22667–22674. 31 indexed citations
12.
Bergmann, Arno, et al.. (2020). Reversible Water-Induced Phase Changes of Cobalt Oxide Nanoparticles. ACS Nano. 14(11). 15450–15457. 14 indexed citations
13.
Dionigi, Fabio, Zhenhua Zeng, Ilya Sinev, et al.. (2020). In-situ structure and catalytic mechanism of NiFe and CoFe layered double hydroxides during oxygen evolution. Nature Communications. 11(1). 2522–2522. 920 indexed citations breakdown →
14.
Kunze, Sebastian, Philipp Grosse, Miguel Bernal, et al.. (2020). Operando NRIXS and XAFS Investigation of Segregation Phenomena in Fe‐Cu and Fe‐Ag Nanoparticle Catalysts during CO2 Electroreduction. Angewandte Chemie. 132(50). 22856–22863. 8 indexed citations
15.
Novelli, Fabio, et al.. (2019). Water Solvation of Charged and Neutral Gold Nanoparticles. The Journal of Physical Chemistry B. 123(30). 6521–6528. 18 indexed citations
16.
Bernal, Miguel, et al.. (2019). Piece by Piece—Electrochemical Synthesis of Individual Nanoparticles and their Performance in ORR Electrocatalysis. Angewandte Chemie International Edition. 58(24). 8221–8225. 40 indexed citations
17.
Scholten, Fabian, Ilya Sinev, Miguel Bernal, & Beatriz Roldán Cuenya. (2019). Plasma-Modified Dendritic Cu Catalyst for CO2 Electroreduction. ACS Catalysis. 9(6). 5496–5502. 136 indexed citations
18.
19.
Bernal, Miguel, Alexander Bagger, Fabian Scholten, et al.. (2018). CO2 electroreduction on copper-cobalt nanoparticles: Size and composition effect. Nano Energy. 53. 27–36. 116 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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