Gema Bello-Orgaz
- Artificial Intelligence top 5%
- Sociology and Political Science top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- David CamachoJason J. JungMaría D. R‐MorenoCristian Ramirez‐AtenciaJulio Hernández-CastroHéctor D. MenéndezSancho Salcedo‐SanzDavid F. Barrero
- Topics
- Complex Network Analysis Techniques (8 papers)Opinion Dynamics and Social Influence (5 papers)Robotic Path Planning Algorithms (4 papers)
- Partner nations
- SpainUnited KingdomSouth Korea
In The Last Decade
Gema Bello-Orgaz
25 papers receiving 944 citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 370
- Sociology and Political Science 195
- Information Systems 191
- Computer Vision and Pattern Recognition 184
- Statistical and Nonlinear Physics 167
Countries citing papers authored by Gema Bello-Orgaz
This map shows the geographic impact of Gema Bello-Orgaz'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 Gema Bello-Orgaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gema Bello-Orgaz more than expected).
Fields of papers citing papers by Gema Bello-Orgaz
This network shows the impact of papers produced by Gema Bello-Orgaz. 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 Gema Bello-Orgaz. The network helps show where Gema Bello-Orgaz may publish in the future.
Co-authorship network of co-authors of Gema Bello-Orgaz
This figure shows the co-authorship network connecting the top 25 collaborators of Gema Bello-Orgaz. A scholar is included among the top collaborators of Gema Bello-Orgaz 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 Gema Bello-Orgaz. Gema Bello-Orgaz 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 | 19 | |
| 3 | 2 | |
| 4 | 30 | |
| 5 | 14 | |
| 6 | 19 | |
| 7 | 9 | |
| 8 | 41 | |
| 9 | 70 | |
| 10 | 110 | |
| 11 | 4 | |
| 12 | Social big data: Recent achievements and new challengesbreakdown → | 536 |
| 13 | Combining social-based data mining techniques to extract collective trends from twitter | 18 |
| 14 | 16 | |
| 15 | 6 | |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 11 | |
| 19 | 22 | |
| 20 | 5 |
About Gema Bello-Orgaz
Gema Bello-Orgaz is a scholar working on Statistical and Nonlinear Physics, Tourism, Leisure and Hospitality Management and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 1000 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (5 papers) and Robotic Path Planning Algorithms (4 papers). The work is most often cited by research in Management Information Systems (124 citations), Statistical and Nonlinear Physics (167 citations) and Artificial Intelligence (370 citations). Gema Bello-Orgaz has collaborated with scholars based in Spain, United Kingdom and South Korea. Frequent co-authors include David Camacho, Jason J. Jung, María D. R‐Moreno, Cristian Ramirez‐Atencia, Julio Hernández-Castro, Héctor D. Menéndez, Sancho Salcedo‐Sanz, David F. Barrero, Óscar Cordón and Shintaro Okazaki. Their work appears in journals such as IEEE Access, Information Sciences and Information Fusion.
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.