Nahia Delgado

18 total papers · 675 total citations
12 papers, 350 citations indexed

About

Nahia Delgado is a scholar working on Information Systems, Computer Science Applications and Health Informatics. According to data from OpenAlex, Nahia Delgado has authored 12 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 5 papers in Computer Science Applications and 3 papers in Health Informatics. Recurrent topics in Nahia Delgado's work include E-Learning and Knowledge Management (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Online Learning and Analytics (3 papers). Nahia Delgado is often cited by papers focused on E-Learning and Knowledge Management (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Online Learning and Analytics (3 papers). Nahia Delgado collaborates with scholars based in Spain, United States and France. Nahia Delgado's co-authors include Ann Q. Gates, S. Roach, Héctor Galindo‐Domínguez, Lucía Campo, A. P. Bernat, Patricia J. Teller, Ernesto Expósito and Mamadou Guèye and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Software Engineering and Journal of Computer Assisted Learning.

In The Last Decade

Nahia Delgado

11 papers receiving 329 citations

Hit Papers

Relationship between teac... 2024 2026 2024 10 20 30

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nahia Delgado 142 128 99 80 72 12 350
Markus Völter 190 1.3× 176 1.4× 77 0.8× 119 1.5× 44 0.6× 22 340
Esko Nuutila 73 0.5× 132 1.0× 116 1.2× 25 0.3× 39 0.5× 20 331
Mike Brayshaw 104 0.7× 145 1.1× 33 0.3× 47 0.6× 91 1.3× 26 337
William F. Atchison 99 0.7× 74 0.6× 66 0.7× 57 0.7× 237 3.3× 11 363
Earl J. Schweppe 101 0.7× 82 0.6× 66 0.7× 57 0.7× 223 3.1× 12 344
Silvio O. Navarro 107 0.8× 86 0.7× 68 0.7× 61 0.8× 238 3.3× 7 372
Ike Nassi 179 1.3× 126 1.0× 106 1.1× 95 1.2× 45 0.6× 11 367
Dave Mason 143 1.0× 81 0.6× 52 0.5× 151 1.9× 127 1.8× 23 339
Susan Conry 83 0.6× 151 1.2× 88 0.9× 13 0.2× 82 1.1× 20 377
Peter A. Freeman 176 1.2× 133 1.0× 37 0.4× 43 0.5× 55 0.8× 20 370

Countries citing papers authored by Nahia Delgado

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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