Lidia Contreras-Ochando
- Artificial Intelligence
- Management Information Systems top 10%
- Information Systems top 10%
- Health, Toxicology and Mutagenesis
- Environmental Engineering
- Co-authors
- Cèsar FerriMeelis KullNicolas LachichePeter FlachFernando Martínez‐PlumedJosé Hernández‐Orallo
- Topics
- Air Quality and Health Impacts (3 papers)Air Quality Monitoring and Forecasting (3 papers)Vehicle emissions and performance (3 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringInternational Conference on Machine LearningRiuNet (Politechnical University of Valencia)
In The Last Decade
Lidia Contreras-Ochando
5 papers receiving 247 citations
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 56
- Management Information Systems 53
- Information Systems 47
- Health, Toxicology and Mutagenesis 41
- Environmental Engineering 40
Countries citing papers authored by Lidia Contreras-Ochando
This map shows the geographic impact of Lidia Contreras-Ochando'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 Lidia Contreras-Ochando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lidia Contreras-Ochando more than expected).
Fields of papers citing papers by Lidia Contreras-Ochando
This network shows the impact of papers produced by Lidia Contreras-Ochando. 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 Lidia Contreras-Ochando. The network helps show where Lidia Contreras-Ochando may publish in the future.
Co-authorship network of co-authors of Lidia Contreras-Ochando
This figure shows the co-authorship network connecting the top 25 collaborators of Lidia Contreras-Ochando. A scholar is included among the top collaborators of Lidia Contreras-Ochando 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 Lidia Contreras-Ochando. Lidia Contreras-Ochando is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 207 | |
| 2 | Cycling network projects: a decision-making aid approach | 1 |
| 3 | 6 | |
| 4 | 32 | |
| 5 | Airvlc: an application for real-time forecasting urban air pollution | 8 |
About Lidia Contreras-Ochando
Lidia Contreras-Ochando is a scholar working on Automotive Engineering, Health, Toxicology and Mutagenesis and Environmental Engineering, having authored 5 papers that have together received 254 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (3 papers), Air Quality Monitoring and Forecasting (3 papers) and Vehicle emissions and performance (3 papers). The work is most often cited by research in Management Information Systems (53 citations), Health Informatics (8 citations) and Health, Toxicology and Mutagenesis (41 citations). Lidia Contreras-Ochando has collaborated with scholars based in Spain, France and Estonia. Frequent co-authors include Cèsar Ferri, Meelis Kull, Nicolas Lachiche, Peter Flach, Fernando Martínez‐Plumed and José Hernández‐Orallo. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, International Conference on Machine Learning and RiuNet (Politechnical University of Valencia).
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.