Jose M. Lanza-Gutiérrez
- Safety, Risk, Reliability and Quality top 2%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Juan A. Gómez‐PulidoNuria CaballéInma T. CastroCarlos J. PérezRicardo SotoBroderick CrawfordC. López-OngilJorge Portilla
- Topics
- Energy Efficient Wireless Sensor Networks (10 papers)Emotion and Mood Recognition (9 papers)EEG and Brain-Computer Interfaces (7 papers)
- Partner nations
- SpainChileSwitzerland
In The Last Decade
Jose M. Lanza-Gutiérrez
38 papers receiving 530 citations
Peers
Comparison fields: 5 of 83
- Safety, Risk, Reliability and Quality 149
- Computer Networks and Communications 144
- Artificial Intelligence 108
- Electrical and Electronic Engineering 102
- Statistics, Probability and Uncertainty 63
Countries citing papers authored by Jose M. Lanza-Gutiérrez
This map shows the geographic impact of Jose M. Lanza-Gutiérrez'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 Jose M. Lanza-Gutiérrez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jose M. Lanza-Gutiérrez more than expected).
Fields of papers citing papers by Jose M. Lanza-Gutiérrez
This network shows the impact of papers produced by Jose M. Lanza-Gutiérrez. 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 Jose M. Lanza-Gutiérrez. The network helps show where Jose M. Lanza-Gutiérrez may publish in the future.
Co-authorship network of co-authors of Jose M. Lanza-Gutiérrez
This figure shows the co-authorship network connecting the top 25 collaborators of Jose M. Lanza-Gutiérrez. A scholar is included among the top collaborators of Jose M. Lanza-Gutiérrez 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 Jose M. Lanza-Gutiérrez. Jose M. Lanza-Gutiérrez 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 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 30 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 17 | |
| 14 | Meaningful Data Treatment from Multiple Physiological Sensors in a Cyber-Physical System | 6 |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 6 | |
| 19 | 10 | |
| 20 | 8 |
About Jose M. Lanza-Gutiérrez
Jose M. Lanza-Gutiérrez is a scholar working on Experimental and Cognitive Psychology, Computer Networks and Communications and Industrial and Manufacturing Engineering, having authored 41 papers that have together received 551 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (10 papers), Emotion and Mood Recognition (9 papers) and EEG and Brain-Computer Interfaces (7 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (149 citations), Software (59 citations) and Statistics, Probability and Uncertainty (63 citations). Jose M. Lanza-Gutiérrez has collaborated with scholars based in Spain, Chile and Switzerland. Frequent co-authors include Juan A. Gómez‐Pulido, Nuria Caballé, Inma T. Castro, Carlos J. Pérez, Ricardo Soto, Broderick Crawford, C. López-Ongil, Jorge Portilla, Miguel A. Vega‐Rodríguez and Fernando Paredes. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.
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.