JOURNAL METRICS

Impact Factor (JCR) 2023: 0.7 ℹImpact Factor (JCR):

The JCR provides quantitative tools for ranking, evaluating, categorizing, and comparing journals. The impact factor is one of these; it is a measure of the frequency with which the “average article” in a journal has been cited in a particular year or period. The annual JCR impact factor is a ratio between citations and recent citable items published. Thus, the impact factor of a journal is calculated by dividing the number of current year citations to the source items published in that journal during the previous two years.

5-Year Impact Factor: 0.8 ℹ5-Year Impact Factor:

A 5-Year Impact Factor shows the long-term citation trend for a journal. This is calculated differently from the Journal Impact Factor, so it is not simply an average of the Impact Factors in the time period. The Impact Factor itself is based only on Web of Science Core Collection citation data from the last three years and thus reflects only recent impact. The Journal Impact Factor is the average number of times articles from the journal published in the past two years have been cited in the Journal Citation Reports year.

CiteScore 2023: 1.9 ℹCiteScore:

CiteScore is the number of citations received by a journal in one year to documents published in the three previous years, divided by the number of documents indexed in Scopus published in those same three years.

SCImago Journal Rank (SJR) 2023: 0.23 ℹSCImago Journal Rank (SJR):

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Source Normalized Impact per Paper (SNIP) 2023: 0.350 ℹSource Normalized Impact per Paper (SNIP):

SNIP measures a source’s contextual citation impact by weighting citations based on the total number of citations in a subject field. It helps you make a direct comparison of sources in different subject fields. SNIP takes into account characteristics of the source's subject field, which is the set of documents citing that source.

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EDITORIAL - X International Congress of the Mexican Hydrogen Society and IV International Congress of Rational and Efficient Use of Energy

F. J. Rodríguez Varela, R. G. González Huerta, V. Collins Martínez

https://doi.org/10.14447/jnmes.v14i2.111

Page 67

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Kinetic Study of Oxygen Reduction Reaction on Palladium Nanoparticles Supported in Thermally Treated Carbon

R. Gonzalez Huerta, P. Gonzalez Puente, O. Solorza Feria

https://doi.org/10.14447/jnmes.v14i2.112

Page 69-73

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Pt-CeOx/MWCNT electrocatalysts as ethanol-tolerant ORR cathodes for Direct Alcohol Fuel Cells

F. J. Rodriguez Varela, A. A. Gaona Coronado, J. C. Loyola, Qi-Zhong Jiang, P. Bartolo Perez

https://doi.org/10.14447/jnmes.v14i2.113

Page 75-80

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PtNi and CoNi Film Electrocatalysts Prepared by MOCVD for the Oxygen Reduction Reaction in Alkaline Media

M. A. Garcia-Contreras, S. M. Fernandez-Valverde, J. R. Vargas-Garcia

https://doi.org/10.14447/jnmes.v14i2.114

Page 81-85

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Silica-based Composite Membranes for Methanol Fuel Cells Operating at High Temperature

A. Alvarez, C. Guzman, C. Peza-Ledesma, Luis A. Godinez, R. Nava, S. M. Duron-Torres, J. Ledesma-Garcia, L. G. Arriaga

https://doi.org/10.14447/jnmes.v14i2.115

Page 87-91

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Evaluation of a ZrO₂ Composite Membrane in PEM Fuel Cells Operating at High Temperature and Low Relative Humidity

C. Guzman, A. Alvarez, Luis A. Godinez, O. E. Herrera, W. Merida, J. Ledesma-Garcia, L. G. Arriaga

https://doi.org/10.14447/jnmes.v14i2.116

Page 93-98

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Internal Resistance and performance of Microbial Fuel Cells: Influence of Cell Configuration and Temperature

A. L. Vazquez-Larios, O. Solorza-Feria, G. Vazquez-Huerta, E. Rios-Leal, N. Rinderknecht-Seijas, H. M. Poggi-Varaldo

https://doi.org/10.14447/jnmes.v14i2.117

Page 99-105

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A Mathematical Model for Her Reaction to Determine Different Pt loads on Pt/C Electrodes

L. Ortega-Chavez, E. Herrera-Peraza, Y. Verde-Gomez

https://doi.org/10.14447/jnmes.v14i2.118

Page 107-111

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Dynamic Model of a PEM Electrolyzer based on Artificial Neural Networks

A. U. Chavez-Ramirez, R. Munoz-Guerrero, V. Sanchez-Huerta, Juan M. Ramirez-Arredondo, R. Ornelas, L. G. Arriaga, S. Siracusano, G. Brunaccini, G. Napoli, V. Antonucci, A. S. Arico

https://doi.org/10.14447/jnmes.v14i2.119

Page 113-119

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SER Process Variable Evaluation for the Production of Hydrogen using Calcined Dolomite

A. Lopez-Ortiz, V. Collins-Martinez, D. P. Harrison

https://doi.org/10.14447/jnmes.v14i2.120

Page 121-126

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Ni/ZrO₂-CeO₂ Catalysts for the Simultaneous Production of Hydrogen and Carbon Nanotubes

M. L. Hernandez-Pichardo, M. A. Valenzuela, S. P. Paredes, P. del Angel, J. A. Montoya de la Fuente

https://doi.org/10.14447/jnmes.v14i2.121

Page 127-131

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Synthesis Gas Production by Methane Partial Oxidation on Ni/Fe₃O₄-Ce_0.75Zr_0.25O₂ Catalysts: Kinetic Study

M. I. Sosa Vazquez, J. Salinas Gutierrez, D. Delgado Vigil, V. Collins-Martinez, A. Lopez Ortiz

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