Oresti Baños

4.0k total citations · 2 hit papers
73 papers, 2.4k citations indexed

About

Oresti Baños is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Experimental and Cognitive Psychology. According to data from OpenAlex, Oresti Baños has authored 73 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 17 papers in Biomedical Engineering and 14 papers in Experimental and Cognitive Psychology. Recurrent topics in Oresti Baños's work include Context-Aware Activity Recognition Systems (29 papers), Digital Mental Health Interventions (11 papers) and Mobile Health and mHealth Applications (10 papers). Oresti Baños is often cited by papers focused on Context-Aware Activity Recognition Systems (29 papers), Digital Mental Health Interventions (11 papers) and Mobile Health and mHealth Applications (10 papers). Oresti Baños collaborates with scholars based in Spain, Netherlands and South Korea. Oresti Baños's co-authors include H. Pomares, Miguel Damas, Ignacio Rojas, Claudia Villalonga, Juan Manuel Gálvez, Sungyoung Lee, Thien Huynh‐The, Jaehun Bang, Wajahat Ali Khan and Taeho Hur and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Oresti Baños

68 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Window Size Impact in Human Activity Recognition

2014 479 citations Oresti Baños, Juan Manuel Gálvez et al. Sensors profile →
Human Behavior Analysis by Means of Multimodal Context Mining

2016 388 citations Oresti Baños, Claudia Villalonga et al. Sensors profile →

Peers

Oresti Baños

CVPR

BE

AI

CNC

EEE

Muhammad Shoaib Pakistan

Miguel Damas Spain

Juha Pärkkä Finland

Adil Khan Russia

Nuno M. García Portugal

Kristof Van Laerhoven Germany

Francisco Flórez‐Revuelta Spain

Ulf Blanke Switzerland

Mitja Luštrek Slovenia

Matjaž Gams Slovenia

Muhammad Shoaib Pakistan

Oresti Baños

1.3k ×1.2

CVPR

477 ×0.8

BE

468 ×1.1

AI

441 ×1.1

CNC

291 ×1.0

EEE

Citations per year, relative to Oresti Baños Oresti Baños (= 1×) peers Muhammad Shoaib

Countries citing papers authored by Oresti Baños

Since Specialization

Citations

This map shows the geographic impact of Oresti Baños'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 Oresti Baños with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oresti Baños more than expected).

Fields of papers citing papers by Oresti Baños

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oresti Baños. 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 Oresti Baños. The network helps show where Oresti Baños may publish in the future.

Co-authorship network of co-authors of Oresti Baños

This figure shows the co-authorship network connecting the top 25 collaborators of Oresti Baños. A scholar is included among the top collaborators of Oresti Baños 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 Oresti Baños. Oresti Baños is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Dakos, Vasilis, Daniel Sanabria, Oresti Baños, et al.. (2024). Bistability and affect shift dynamics in the prediction of psychological well-being.. Emotion. 25(4). 982–996. 1 indexed citations

2.

Baños, Oresti, et al.. (2024). Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review. International Journal of Medical Informatics. 187. 105469–105469. 7 indexed citations

3.

Villalonga, Claudia, et al.. (2023). Deep Learning Approaches Applied to MRI and PET Image Classification of Kidney Tumours: A Systematic Review. Lecture notes in computer science. 254–265.

4.

Baños, Oresti, et al.. (2022). COVID-BEHAVE dataset: measuring human behaviour during the COVID-19 pandemic. Scientific Data. 9(1). 754–754. 1 indexed citations

5.

Postigo-Martín, Paula, Miguel Damas, H. Pomares, et al.. (2021). ATOPE+: An mHealth System to Support Personalized Therapeutic Exercise Interventions in Patients With Cancer. IEEE Access. 9. 16878–16898. 8 indexed citations

6.

Rafferty, Joseph, et al.. (2021). Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management. International Journal of Environmental Research and Public Health. 18(3). 1327–1327. 23 indexed citations

7.

Villalonga, Claudia, et al.. (2021). Mobile and Wearable Technology for the Monitoring of Diabetes-Related Parameters: Systematic Review. JMIR mhealth and uhealth. 9(6). e25138–e25138. 79 indexed citations

8.

Baños, Oresti, Alberto Calatroni, Miguel Damas, et al.. (2021). Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning. Neural Processing Letters. 53(5). 3169–3197. 13 indexed citations

9.

Baños, Oresti, Miguel Damas, H. Pomares, et al.. (2020). CoVidAffect, real-time monitoring of mood variations following the COVID-19 outbreak in Spain. Scientific Data. 7(1). 365–365. 6 indexed citations

10.

Damas, Miguel, et al.. (2019). Smartphone-Based Platform for Affect Monitoring through Flexibly Managed Experience Sampling Methods. Sensors. 19(15). 3430–3430. 10 indexed citations

11.

Hermens, Hermie, et al.. (2019). A Novel Framework for the Holistic Monitoring and Analysis of Human Behaviour. SHILAP Revista de lepidopterología. 43–43. 2 indexed citations

12.

Damas, Miguel, et al.. (2018). Intelligent Monitoring of Affective Factors Underlying Sport Performance by Means of Wearable and Mobile Technology. SHILAP Revista de lepidopterología. 1202–1202. 5 indexed citations

13.

Damas, Miguel, et al.. (2018). SPIRA: an automatic system to support lower limb injury assessment. Journal of Ambient Intelligence and Humanized Computing. 10(6). 2111–2123. 6 indexed citations

14.

Baños, Oresti, Muhammad Bilal Amin, Wajahat Ali Khan, et al.. (2016). The Mining Minds digital health and wellness framework. BioMedical Engineering OnLine. 15(S1). 76–76. 33 indexed citations

15.

Amin, Muhammad Bilal, Oresti Baños, Taqdir Ali, et al.. (2015). Mining minds: journey of evolutionary platform for ubiquitous wellness. eCite Digital Repository (University of Tasmania). 1 indexed citations

16.

Baños, Oresti, Jaehun Bang, Taeho Hur, et al.. (2015). Mining human behavior for health promotion. PubMed. 2015. 5062–5. 12 indexed citations

17.

Baños, Oresti, et al.. (2014). PhysioDroid: Combining Wearable Health Sensors and Mobile Devices for a Ubiquitous, Continuous, and Personal Monitoring. The Scientific World JOURNAL. 2014. 1–11. 63 indexed citations

18.

Baños, Oresti, Juan Manuel Gálvez, Miguel Damas, et al.. (2014). Evaluating the effects of signal segmentation on activity recognition.. 759–765. 7 indexed citations

19.

Baños, Oresti, et al.. (2013). PhysioDroid: an app for physiological data monitoring.. 297–304. 1 indexed citations

20.

Baños, Oresti, Miguel Damas, H. Pomares, A. Prieto, & Ignacio Rojas. (2012). Daily living activity recognition based on statistical feature quality group selection. Expert Systems with Applications. 39(9). 8013–8021. 90 indexed citations

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.

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