Javier Sedano
Impact in
- Health Informatics top 10%
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- Context-Aware Activity Recognition Systems
Papers in
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- Neural Networks and Applications 7
- Anomaly Detection Techniques and Applications 5
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- Context-Aware Activity Recognition Systems 8
- Co-authors
- José R. Villar (39 shared papers)Emilio Corchado (16 shared papers)Enrique de la Cal (23 shared papers)Álvaro Herrero (11 shared papers)Bruno Baruque (5 shared papers)Camelia Chira (13 shared papers)Héctor Quintián (5 shared papers)Víctor M. González (8 shared papers)
In The Last Decade
Javier Sedano
58 papers receiving 673 citations
Peers
Comparison fields: 5 of 117
- Health Informatics 12
- Computer Vision and Pattern Recognition 158
- Signal Processing 82
- Industrial and Manufacturing Engineering 73
- Artificial Intelligence 199
Countries citing papers authored by Javier Sedano
This map shows the geographic impact of Javier Sedano'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 Javier Sedano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Sedano more than expected).
Fields of papers citing papers by Javier Sedano
This network shows the impact of papers produced by Javier Sedano. 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 Javier Sedano. The network helps show where Javier Sedano may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Sedano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 46 | |
| 2 | 2015 | 46 | |
| 3 | 2015 | 44 | |
| 4 | 2014 | 41 | |
| 5 | 2010 | 37 | |
| 6 | 2017 | 37 | |
| 7 | 2009 | 36 | |
| 8 | 2016 | 36 | |
| 9 | 2015 | 33 | |
| 10 | 2012 | 23 | |
| 11 | 2011 | 23 | |
| 12 | 2022 | 23 | |
| 13 | 2012 | 21 | |
| 14 | 2013 | 19 | |
| 15 | 2020 | 17 | |
| 16 | 2020 | 16 | |
| 17 | 2014 | 14 | |
| 18 | 2020 | 13 | |
| 19 | 2019 | 11 | |
| 20 | 2009 | 10 |
About Javier Sedano
Javier Sedano is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 65 papers that have together received 698 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (8 papers), EEG and Brain-Computer Interfaces (7 papers), Neural Networks and Applications (7 papers), Advanced machining processes and optimization (5 papers), Transportation and Mobility Innovations (5 papers), Anomaly Detection Techniques and Applications (5 papers), Time Series Analysis and Forecasting (4 papers) and Non-Invasive Vital Sign Monitoring (4 papers). The work is most often cited by research in Health Informatics (12 citations), Computer Vision and Pattern Recognition (158 citations), Signal Processing (82 citations), Industrial and Manufacturing Engineering (73 citations) and Artificial Intelligence (199 citations). Javier Sedano has collaborated with scholars based in Spain, Romania and Czechia. Frequent co-authors include José R. Villar, Emilio Corchado, Enrique de la Cal, Álvaro Herrero, Bruno Baruque, Camelia Chira, Héctor Quintián, Víctor M. González, Emilio Corchado and J.M. Trejo-Gabriel-Galán. Their work appears in journals such as Neurocomputing, Logic Journal of IGPL, Integrated Computer-Aided Engineering, International Journal of Neural Systems and Pattern Analysis and Applications.
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.