Sergio Muñoz-Romero
- Artificial Intelligence top 10%
- Sociology and Political Science
- Computer Vision and Pattern Recognition
- Marketing top 10%
- Electrical and Electronic Engineering
- Co-authors
- José Luis Rojo‐ÁlvarezCristina Soguero-RuízPilar Talón BallesteroLydia González SerranoVanessa Gómez-VerdejoJerónimo Arenas‐GarcíaFrancisco-Javier Gimeno-BlanesEnrique V. Carrera
- Topics
- ECG Monitoring and Analysis (8 papers)Face and Expression Recognition (5 papers)Cardiac electrophysiology and arrhythmias (5 papers)
- Partner nations
- SpainEcuadorUnited States
In The Last Decade
Sergio Muñoz-Romero
44 papers receiving 473 citations
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 119
- Sociology and Political Science 69
- Computer Vision and Pattern Recognition 45
- Marketing 45
- Electrical and Electronic Engineering 45
Countries citing papers authored by Sergio Muñoz-Romero
This map shows the geographic impact of Sergio Muñoz-Romero'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 Sergio Muñoz-Romero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Muñoz-Romero more than expected).
Fields of papers citing papers by Sergio Muñoz-Romero
This network shows the impact of papers produced by Sergio Muñoz-Romero. 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 Sergio Muñoz-Romero. The network helps show where Sergio Muñoz-Romero may publish in the future.
Co-authorship network of co-authors of Sergio Muñoz-Romero
This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Muñoz-Romero. A scholar is included among the top collaborators of Sergio Muñoz-Romero 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 Sergio Muñoz-Romero. Sergio Muñoz-Romero 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 | 2 | |
| 3 | 8 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 14 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 5 | |
| 12 | 76 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 25 | |
| 16 | 7 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | 4 | |
| 20 | 4 |
About Sergio Muñoz-Romero
Sergio Muñoz-Romero is a scholar working on Tourism, Leisure and Hospitality Management, Signal Processing and Analytical Chemistry, having authored 46 papers that have together received 488 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (8 papers), Face and Expression Recognition (5 papers) and Cardiac electrophysiology and arrhythmias (5 papers). The work is most often cited by research in Health Informatics (8 citations), Tourism, Leisure and Hospitality Management (8 citations) and Marketing (45 citations). Sergio Muñoz-Romero has collaborated with scholars based in Spain, Ecuador and United States. Frequent co-authors include José Luis Rojo‐Álvarez, Cristina Soguero-Ruíz, Pilar Talón Ballestero, Lydia González Serrano, Vanessa Gómez-Verdejo, Jerónimo Arenas‐García, Francisco-Javier Gimeno-Blanes, Enrique V. Carrera, Inmaculada Mora-Jiménez and Mónica Huerta. Their work appears in journals such as Tourism Management, Expert Systems with Applications and IEEE Access.
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.