Alberto Ayala

63 papers receiving 2.0k citations

Peers

Alberto Ayala
Comparison fields: 5 of 122
  • Automotive Engineering 1.3k
  • Health, Toxicology and Mutagenesis 1.3k
  • Fluid Flow and Transfer Processes 305
  • Atmospheric Science 492
  • Environmental Engineering 383
Replace Svetlana Stevanović with:
Svetlana Stevanović Australia
Hsi‐Hsien Yang Taiwan
Georgios Karavalakis United States
Branka Miljevic Australia
Tao Huai United States
Simone M. Pieber Switzerland
Ricardo Suárez‐Bertoa Italy
Vahid Hosseini Iran
Jingnan Hu China
Xianbao Shen China
Alberto Ayala relative to Svetlana Stevanović Australia Svetlana Stevanović's profile →
Citations per field
00.5×2.7×
Svetlana Stevanović · 1×
Citations per year

Countries citing papers authored by Alberto Ayala

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Ayala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alberto Ayala, 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 Alberto Ayala Line = papers co-authored together Alberto Ayala links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011127
2 2022125
3 2011108
4 2002105
5 2005101
6 200889
7 200987
8 198982
9 200980
10 200276
11 201066
12 201359
13 201355
14 201455
15 201551
16 200950
17 200650
18 201548
19 201441
20 199240

About Alberto Ayala

Alberto Ayala is a scholar working on Health, Toxicology and Mutagenesis, Automotive Engineering, Environmental Engineering, Atmospheric Science and Materials Chemistry, having authored 63 papers that have together received 2.1k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (46 papers), Vehicle emissions and performance (44 papers), Air Quality Monitoring and Forecasting (19 papers), Atmospheric chemistry and aerosols (11 papers), Energy, Environment, and Transportation Policies (6 papers), Catalytic Processes in Materials Science (6 papers), Advanced Combustion Engine Technologies (4 papers) and Environmental Policies and Emissions (3 papers). The work is most often cited by research in Automotive Engineering (1.3k citations), Health, Toxicology and Mutagenesis (1.3k citations), Fluid Flow and Transfer Processes (305 citations), Atmospheric Science (492 citations) and Environmental Engineering (383 citations). Alberto Ayala has collaborated with scholars based in United States, Mexico and India. Frequent co-authors include Jorn D. Herner, Tao Huai, Shaohua Hu, Lilian Calderón‐Garcidueñas, William H. Robertson, Britt A. Holmén, Norman Y. Kado, John Collins, Paul Rieger and Harry A. Dwyer. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Environmental Science & Technology, Journal of the Air & Waste Management Association, Atmospheric Environment and Aerosol Science and Technology.

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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