Dani Madrid‐Morales
- Sociology and Political Science top 10%
- Communication top 5%
- Artificial Intelligence
- Information Systems
- Cultural Studies top 10%
- Co-authors
- Herman WassermanSaifuddin AhmedMelissa TullyGregory GondweTetsuro KobayashiAsako MiuraHiroshi ShimizuChris Paterson
- Topics
- Media Influence and Politics (14 papers)Social Media and Politics (12 papers)Misinformation and Its Impacts (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cross-Cultural PsychologyInformation Communication & Society
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
Dani Madrid‐Morales
24 papers receiving 292 citations
Peers
Comparison fields: 5 of 48
- Sociology and Political Science 226
- Communication 175
- Artificial Intelligence 54
- Information Systems 27
- Cultural Studies 24
Countries citing papers authored by Dani Madrid‐Morales
This map shows the geographic impact of Dani Madrid‐Morales'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 Dani Madrid‐Morales with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dani Madrid‐Morales more than expected).
Fields of papers citing papers by Dani Madrid‐Morales
This network shows the impact of papers produced by Dani Madrid‐Morales. 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 Dani Madrid‐Morales. The network helps show where Dani Madrid‐Morales may publish in the future.
Co-authorship network of co-authors of Dani Madrid‐Morales
This figure shows the co-authorship network connecting the top 25 collaborators of Dani Madrid‐Morales. A scholar is included among the top collaborators of Dani Madrid‐Morales 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 Dani Madrid‐Morales. Dani Madrid‐Morales 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 8 | |
| 12 | Comparative Approaches to Mis/Disinformation| Motivations for Sharing Misinformation: A Comparative Study in Six Sub-Saharan African Countries | 8 |
| 13 | 22 | |
| 14 | 16 | |
| 15 | 2 | |
| 16 | 19 | |
| 17 | 6 | |
| 18 | 7 | |
| 19 | How Influential Are Chinese Media in Africa? An Audience Analysis in Kenya and South Africa | 14 |
| 20 | 22 |
About Dani Madrid‐Morales
Dani Madrid‐Morales is a scholar working on Communication, General Social Sciences and Sociology and Political Science, having authored 27 papers that have together received 303 indexed citations. Recurring topics across this work include Media Influence and Politics (14 papers), Social Media and Politics (12 papers) and Misinformation and Its Impacts (10 papers). The work is most often cited by research in Communication (175 citations), Sociology and Political Science (226 citations) and Development (11 citations). Dani Madrid‐Morales has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Herman Wasserman, Saifuddin Ahmed, Melissa Tully, Gregory Gondwe, Tetsuro Kobayashi, Asako Miura, Hiroshi Shimizu, Chris Paterson, Peggy Lindner and Atsushi Tago. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cross-Cultural Psychology and Information Communication & Society.
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.