Daniel Gayo-Avello
- Sociology and Political Science top 5%
- Communication top 1%
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 2%
- Information Systems top 5%
- Co-authors
- Panagiotis MetaxasEni MustafarajAndreas JungherrGonzalo RiveroHarald SchoenPeter A. GloorMarkus StrohmaierMarcelo Mendoza
- Topics
- Misinformation and Its Impacts (8 papers)Advanced Text Analysis Techniques (5 papers)Complex Network Analysis Techniques (5 papers)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Daniel Gayo-Avello
26 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 80
- Sociology and Political Science 444
- Communication 442
- Artificial Intelligence 396
- Statistical and Nonlinear Physics 322
- Information Systems 181
Countries citing papers authored by Daniel Gayo-Avello
This map shows the geographic impact of Daniel Gayo-Avello'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 Daniel Gayo-Avello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gayo-Avello more than expected).
Fields of papers citing papers by Daniel Gayo-Avello
This network shows the impact of papers produced by Daniel Gayo-Avello. 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 Daniel Gayo-Avello. The network helps show where Daniel Gayo-Avello may publish in the future.
Co-authorship network of co-authors of Daniel Gayo-Avello
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Gayo-Avello. A scholar is included among the top collaborators of Daniel Gayo-Avello 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 Daniel Gayo-Avello. Daniel Gayo-Avello 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 | 11 | |
| 3 | 25 | |
| 4 | 80 | |
| 5 | 18 | |
| 6 | 10 | |
| 7 | 18 | |
| 8 | 198 | |
| 9 | 152 | |
| 10 | 1 | |
| 11 | 35 | |
| 12 | 17 | |
| 13 | 104 | |
| 14 | 100 | |
| 15 | 1 | |
| 16 | 49 | |
| 17 | 31 | |
| 18 | Automatic detection of navigational queries according to Behavioural Characteristics. | 4 |
| 19 | Análisis de los hábitos de trabajo autónomo de los alumnos de cara al sistema de créditos ECTS | 3 |
| 20 | 10 |
About Daniel Gayo-Avello
Daniel Gayo-Avello is a scholar working on Statistical and Nonlinear Physics, Information Systems and Artificial Intelligence, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (8 papers), Advanced Text Analysis Techniques (5 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Communication (442 citations), Statistical and Nonlinear Physics (322 citations) and General Social Sciences (58 citations). Daniel Gayo-Avello has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Panagiotis Metaxas, Eni Mustafaraj, Andreas Jungherr, Gonzalo Rivero, Harald Schoen, Peter A. Gloor, Markus Strohmaier, Marcelo Mendoza, Bárbara Poblete and Felipe Bravo-Márquez. Their work appears in journals such as PLoS ONE, Communications of the ACM and Information Sciences.
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.