A.U. Chávez-Ramírez

822 total citations
27 papers, 642 citations indexed

About

A.U. Chávez-Ramírez is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Automotive Engineering. According to data from OpenAlex, A.U. Chávez-Ramírez has authored 27 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 7 papers in Renewable Energy, Sustainability and the Environment and 5 papers in Automotive Engineering. Recurrent topics in A.U. Chávez-Ramírez's work include Fuel Cells and Related Materials (14 papers), Electrochemical sensors and biosensors (6 papers) and Electrocatalysts for Energy Conversion (5 papers). A.U. Chávez-Ramírez is often cited by papers focused on Fuel Cells and Related Materials (14 papers), Electrochemical sensors and biosensors (6 papers) and Electrocatalysts for Energy Conversion (5 papers). A.U. Chávez-Ramírez collaborates with scholars based in Mexico, Spain and Canada. A.U. Chávez-Ramírez's co-authors include L.G. Arríaga, S.M. Durón-Torres, J. Ledesma‐García, R. Muñoz, Juan M. Ramı́rez, Victor Sanchez, V. Antonucci, Giovanni Brunaccini, A. Moreno-Zuria and J. M. Hernandez and has published in prestigious journals such as Journal of Power Sources, Applied Energy and International Journal of Hydrogen Energy.

In The Last Decade

A.U. Chávez-Ramírez

26 papers receiving 618 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A.U. Chávez-Ramírez Mexico 15 428 198 135 131 100 27 642
Davide Aloisio Italy 13 329 0.8× 62 0.3× 62 0.5× 36 0.3× 144 1.4× 38 507
B. Kroposki United States 10 677 1.6× 520 2.6× 370 2.7× 280 2.1× 96 1.0× 24 1.3k
Bernd Emonts Germany 13 354 0.8× 248 1.3× 357 2.6× 346 2.6× 154 1.5× 29 829
S. Ould Amrouche Algeria 5 398 0.9× 179 0.9× 89 0.7× 164 1.3× 156 1.6× 12 726
Krissanapong Kirtikara Thailand 16 525 1.2× 396 2.0× 40 0.3× 36 0.3× 41 0.4× 59 784
Oladapo Christopher Esan Hong Kong 17 676 1.6× 439 2.2× 256 1.9× 48 0.4× 260 2.6× 33 1.1k
Fernando Isorna Spain 11 313 0.7× 149 0.8× 91 0.7× 136 1.0× 147 1.5× 17 446
M.M.H. Bhuiyan Bangladesh 12 265 0.6× 299 1.5× 234 1.7× 122 0.9× 47 0.5× 15 651
Cédric Damour Réunion 16 433 1.0× 214 1.1× 147 1.1× 88 0.7× 186 1.9× 45 698
Su-Jin Jang South Korea 12 473 1.1× 88 0.4× 58 0.4× 43 0.3× 226 2.3× 44 783

Countries citing papers authored by A.U. Chávez-Ramírez

Since Specialization
Citations

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

Fields of papers citing papers by A.U. Chávez-Ramírez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.U. Chávez-Ramírez. 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 A.U. Chávez-Ramírez. The network helps show where A.U. Chávez-Ramírez may publish in the future.

Co-authorship network of co-authors of A.U. Chávez-Ramírez

This figure shows the co-authorship network connecting the top 25 collaborators of A.U. Chávez-Ramírez. A scholar is included among the top collaborators of A.U. Chávez-Ramírez 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 A.U. Chávez-Ramírez. A.U. Chávez-Ramírez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chávez-Ramírez, A.U., et al.. (2025). A High-Sensitivity Microwave Resonator for Triclosan and Glyphosate Detection in Water. IEEE Transactions on Instrumentation and Measurement. 74. 1–8.
2.
Moreno-Zuria, A., José G. Rivera, A.U. Chávez-Ramírez, & Mohamed Mohamedi. (2024). Filter paper as electrolyte flow transport using vaporized methanol as fuel in a microfluidic fuel cell: Experimental and numerical simulation. 4. 100046–100046. 8 indexed citations
3.
Pérez‐Robles, J.F., et al.. (2022). Energetic evaluations of an electrochemical hydrogen compressor. Journal of Energy Storage. 55. 105675–105675. 18 indexed citations
4.
Ledesma‐García, J., et al.. (2019). Novel biomaterial based on monoamine oxidase-A and multi-walled carbon nanotubes for serotonin detection. Biochemical Engineering Journal. 149. 107240–107240. 18 indexed citations
5.
Chávez-Ramírez, A.U., et al.. (2019). Thermal study of a solar distiller using computational fluid dynamics (CFD). Revista Mexicana de Ingeniería Química. 19(2). 677–689. 6 indexed citations
6.
Arjona, Noé, et al.. (2018). Synthesis and evaluation of HfO 2 as a prospective filler in inorganic–organic hybrid membranes based on Nafion for PEM fuel cells. Nanotechnology. 30(10). 105707–105707. 9 indexed citations
8.
Chávez-Ramírez, A.U., et al.. (2018). Blocking oscillator-based electronic circuit to harvest and boost the voltage produced by a compost-based microbial fuel cell stack. Sustainable Energy Technologies and Assessments. 29. 164–170. 6 indexed citations
9.
Moreno-Zuria, A., E. Ortiz-Ortega, M.P. Gurrola, et al.. (2017). Evolution of microfluidic fuel stack design as an innovative alternative to energy production. International Journal of Hydrogen Energy. 42(46). 27929–27939. 22 indexed citations
10.
Picos-Benítez, Alain R., et al.. (2017). Artificial intelligence based model for optimization of COD removal efficiency of an up-flow anaerobic sludge blanket reactor in the saline wastewater treatment. Water Science & Technology. 75(6). 1351–1361. 38 indexed citations
11.
Gurrola, M.P., et al.. (2016). Evaluation and coupling of a membraneless nanofluidic device for low-power applications. Journal of Power Sources. 307. 244–250. 17 indexed citations
12.
Chávez-Ramírez, A.U., et al.. (2016). Modeling and optimization of a pharmaceutical crystallization process by using neural networks and genetic algorithms. Powder Technology. 292. 122–128. 51 indexed citations
13.
Sanchez, Victor, et al.. (2014). Techno-economical optimization based on swarm intelligence algorithm for a stand-alone wind-photovoltaic-hydrogen power system at south-east region of Mexico. International Journal of Hydrogen Energy. 39(29). 16646–16655. 79 indexed citations
14.
Durón-Torres, S.M., et al.. (2013). Development of a Dynamic Hydrogen Electrode coupled to Proton Exchange Membrane Fuel Cell. International Journal of Electrochemical Science. 8(6). 8893–8904. 7 indexed citations
15.
Chávez-Ramírez, A.U., J.C. Cruz, R. Ornelas, et al.. (2013). A hybrid power plant (Solar–Wind–Hydrogen) model based in artificial intelligence for a remote-housing application in Mexico. International Journal of Hydrogen Energy. 38(6). 2641–2655. 31 indexed citations
16.
Cruz, J.C., et al.. (2012). Electrochemical Evaluation of a Ir-Ru Binary Oxide for Oxygen Evolution Reaction. International Journal of Electrochemical Science. 7(9). 7866–7876. 12 indexed citations
17.
Chávez-Ramírez, A.U., et al.. (2012). Design and set up of a hybrid power system (PV-WT-URFC) for a stand-alone application in Mexico. International Journal of Hydrogen Energy. 38(28). 12623–12633. 32 indexed citations
18.
Chávez-Ramírez, A.U., R. Muñoz, Victor Sanchez, et al.. (2011). Journal of New Materials for Electrochemical Systems. 38 indexed citations
19.
Chávez-Ramírez, A.U., R. Muñoz, Victor Sanchez, et al.. (2011). Dynamic Model of a PEM Electrolyzer based on Artificial Neural Networks. Journal of New Materials for Electrochemical Systems. 14(2). 113–119. 7 indexed citations
20.
Chávez-Ramírez, A.U., R. Muñoz, S.M. Durón-Torres, et al.. (2009). High power fuel cell simulator based on artificial neural network. International Journal of Hydrogen Energy. 35(21). 12125–12133. 97 indexed citations

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