Nahia Delgado
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Software top 5%
- Computer Science Applications top 5%
- Co-authors
- Ann Q. GatesS. RoachHéctor Galindo‐DomínguezLucía CampoA. P. BernatPatricia J. TellerErnesto ExpósitoMamadou Guèye
- Topics
- Online Learning and Analytics (3 papers)Artificial Intelligence in Healthcare and Education (3 papers)E-Learning and Knowledge Management (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Software EngineeringJournal of Computer Assisted Learning
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Nahia Delgado
11 papers receiving 338 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Information Systems 144
- Artificial Intelligence 130
- Computer Networks and Communications 98
- Software 80
- Computer Science Applications 78
Countries citing papers authored by Nahia Delgado
This map shows the geographic impact of Nahia Delgado'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 Nahia Delgado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nahia Delgado more than expected).
Fields of papers citing papers by Nahia Delgado
This network shows the impact of papers produced by Nahia Delgado. 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 Nahia Delgado. The network helps show where Nahia Delgado may publish in the future.
Co-authorship network of co-authors of Nahia Delgado
This figure shows the co-authorship network connecting the top 25 collaborators of Nahia Delgado. A scholar is included among the top collaborators of Nahia Delgado 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 Nahia Delgado. Nahia Delgado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 25 | |
| 7 | Relationship between teachers’ digital competence and attitudes towards artificial intelligence in educationbreakdown → | 43 |
| 8 | 40 | |
| 9 | 3 | |
| 10 | 195 | |
| 11 | 28 | |
| 12 | 20 |
About Nahia Delgado
Nahia Delgado is a scholar working on Health Informatics, Computer Science Applications and Information Systems, having authored 12 papers that have together received 360 indexed citations. Recurring topics across this work include Online Learning and Analytics (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and E-Learning and Knowledge Management (3 papers). The work is most often cited by research in Software (80 citations), Computer Science Applications (78 citations) and Health Informatics (16 citations). Nahia Delgado has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Ann Q. Gates, S. Roach, Héctor Galindo‐Domínguez, Lucía Campo, A. P. Bernat, Patricia J. Teller, Ernesto Expósito and Mamadou Guèye. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Software Engineering and Journal of Computer Assisted Learning.
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.