U. Cano

568 citations
27 papers · 493 · h-index 14

Impact in

Papers in

U. Cano

25 papers receiving 477 citations

Peers

U. Cano
Comparison fields: 5 of 51
  • Energy Engineering and Power Technology 73
  • Renewable Energy, Sustainability and the Environment 192
  • Automotive Engineering 98
  • Electrochemistry 45
  • Electrical and Electronic Engineering 357
Replace Ivan Pivac with:
Ivan Pivac Croatia
Wenhua H. Zhu United States
Mohd Nizar Mhd Razali Malaysia
Roman Kodým Czechia
Yifan Xu China
Angelo Moreno Italy
Florence Druart France
Pongsarun Satjaritanun United States
Georgios Tsotridis Netherlands
Likun Yin China
U. Cano relative to Ivan Pivac Croatia Ivan Pivac's profile →
Citations per field
00.5×10×20×26×
Ivan Pivac · 1×
Citations per year

Countries citing papers authored by U. Cano

Since Specialization
Citations

This map shows the geographic impact of U. Cano'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 U. Cano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U. Cano more than expected).

Fields of papers citing papers by U. Cano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by U. Cano. 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 U. Cano. The network helps show where U. Cano may publish in the future.

Co-authors

The 25 scholars most cited alongside U. Cano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with U. Cano Line = papers co-authored together U. Cano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200673
2 200356
3 201438
4 201636
5 200533
6 200430
7 201430
8 200428
9 201027
10 200420
11 201016
12 200016
13 201914
14 201614
15 201813
16 201810
17
Hydrogen and Fuel Cells: Potential Elements in the Energy Transition Scenario
20138
18 20066
19 20206
20 20115

About U. Cano

U. Cano is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Renewable Energy, Sustainability and the Environment, Materials Chemistry and Electrochemistry, having authored 27 papers that have together received 493 indexed citations. Recurring topics across this work include Fuel Cells and Related Materials (13 papers), Advanced Battery Technologies Research (9 papers), Electrocatalysts for Energy Conversion (8 papers), Electric Vehicles and Infrastructure (4 papers), Electrochemical Analysis and Applications (4 papers), Advancements in Solid Oxide Fuel Cells (3 papers), Electric and Hybrid Vehicle Technologies (3 papers) and Chalcogenide Semiconductor Thin Films (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (73 citations), Renewable Energy, Sustainability and the Environment (192 citations), Automotive Engineering (98 citations), Electrochemistry (45 citations) and Electrical and Electronic Engineering (357 citations). U. Cano has collaborated with scholars based in Mexico, Italy and Belgium. Frequent co-authors include L.G. Arríaga, Tatiana Romero, Arturo Fernández, Araceli Martínez, Ilse Cervantes, Rafael Vázquez-Duhalt, B. Escobar, Romeli Barbosa, Sergio A. Águila and Jorge Andaverde. Their work appears in journals such as International Journal of Hydrogen Energy, Journal of Power Sources, CORROSION, Materials Chemistry and Physics and Biosensors and Bioelectronics.

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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