Daniel Ayala
Impact in
- Transportation top 5%
- Transportation Planning and Optimization
- Building and Construction top 5%
- Smart Parking Systems Research
Papers in
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- Transportation and Mobility Innovations 6
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- Data Quality and Management 6
- Co-authors
- Ouri Wolfson (7 shared papers)Jie Lin (6 shared papers)Bhaskar DasGupta (5 shared papers)Bo Xu (3 shared papers)Inma Hernández (13 shared papers)Bo Xu (2 shared papers)David Selva Ruiz (14 shared papers)Carlos R. Rivero (3 shared papers)
- Journals
- Expert Systems with Applications (3 papers)Knowledge-Based Systems (2 papers)The R Journal (2 papers)ACM Transactions on Spatial Algorithms and Systems (1 paper)Data & Knowledge Engineering (1 paper)
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Daniel Ayala
21 papers receiving 333 citations
Peers
Comparison fields: 5 of 47
- Transportation 106
- Building and Construction 197
- Automotive Engineering 166
- Management Science and Operations Research 49
- Signal Processing 27
Countries citing papers authored by Daniel Ayala
This map shows the geographic impact of Daniel 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 Daniel Ayala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ayala more than expected).
Fields of papers citing papers by Daniel Ayala
This network shows the impact of papers produced by Daniel 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 Daniel Ayala. The network helps show where Daniel Ayala may publish in the future.
Co-authors
The 22 scholars most cited alongside Daniel Ayala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 121 | |
| 2 | 2012 | 66 | |
| 3 | 2012 | 26 | |
| 4 | 2021 | 22 | |
| 5 | 2010 | 17 | |
| 6 | 2018 | 14 | |
| 7 | 2019 | 13 | |
| 8 | 2017 | 12 | |
| 9 | 2019 | 11 | |
| 10 | 2012 | 6 | |
| 11 | 2019 | 6 | |
| 12 | 2015 | 5 | |
| 13 | 2015 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2023 | 1 |
About Daniel Ayala
Daniel Ayala is a scholar working on Automotive Engineering, Management Science and Operations Research, Artificial Intelligence, Building and Construction and Transportation, having authored 24 papers that have together received 345 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Advanced Graph Neural Networks (6 papers), Smart Parking Systems Research (6 papers), Data Quality and Management (6 papers), Transportation and Mobility Innovations (6 papers), Web Data Mining and Analysis (4 papers), Transportation Planning and Optimization (4 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Transportation (106 citations), Building and Construction (197 citations), Automotive Engineering (166 citations), Management Science and Operations Research (49 citations) and Signal Processing (27 citations). Daniel Ayala has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Ouri Wolfson, Jie Lin, Bhaskar DasGupta, Bo Xu, Inma Hernández, Bo Xu, David Selva Ruiz, Carlos R. Rivero, Miguel Toro and Naphtali David Rishe. Their work appears in journals such as Expert Systems with Applications, Knowledge-Based Systems, The R Journal, ACM Transactions on Spatial Algorithms and Systems and Data & Knowledge Engineering.
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.