Noelia Hernández
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Automotive Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Ocean Engineering top 10%
- Co-authors
- José M. AlonsoManuel OcañaLuis M. BergasaI. ParraEuntai KimIván García DazaLeopoldo BorregoMiguel Ángel Sotelo
- Topics
- Indoor and Outdoor Localization Technologies (15 papers)Autonomous Vehicle Technology and Safety (7 papers)Speech and Audio Processing (6 papers)
- Partner nations
- SpainUnited StatesSouth Korea
In The Last Decade
Noelia Hernández
41 papers receiving 557 citations
Peers
Comparison fields: 5 of 111
- Electrical and Electronic Engineering 224
- Signal Processing 92
- Automotive Engineering 85
- Computer Vision and Pattern Recognition 84
- Ocean Engineering 82
Countries citing papers authored by Noelia Hernández
This map shows the geographic impact of Noelia Hernández'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 Noelia Hernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noelia Hernández more than expected).
Fields of papers citing papers by Noelia Hernández
This network shows the impact of papers produced by Noelia Hernández. 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 Noelia Hernández. The network helps show where Noelia Hernández may publish in the future.
Co-authorship network of co-authors of Noelia Hernández
This figure shows the co-authorship network connecting the top 25 collaborators of Noelia Hernández. A scholar is included among the top collaborators of Noelia Hernández 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 Noelia Hernández. Noelia Hernández is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 15 | |
| 11 | 63 | |
| 12 | 21 | |
| 13 | El internet de las cosas | 1 |
| 14 | Developement of a navigation system for a Robotic Shop Guide | 1 |
| 15 | 22 | |
| 16 | 9 | |
| 17 | 0 | |
| 18 | 47 | |
| 19 | 18 | |
| 20 | 5 |
About Noelia Hernández
Noelia Hernández is a scholar working on Automotive Engineering, Signal Processing and Human-Computer Interaction, having authored 47 papers that have together received 576 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (15 papers), Autonomous Vehicle Technology and Safety (7 papers) and Speech and Audio Processing (6 papers). The work is most often cited by research in Signal Processing (92 citations), Human-Computer Interaction (43 citations) and Automotive Engineering (85 citations). Noelia Hernández has collaborated with scholars based in Spain, United States and South Korea. Frequent co-authors include José M. Alonso, Manuel Ocaña, Luis M. Bergasa, I. Parra, Euntai Kim, Iván García Daza, Leopoldo Borrego, Miguel Ángel Sotelo, David Fernández Llorca and Iván García. Their work appears in journals such as Ecology, Expert Systems with Applications and IEEE Access.
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.