María Bermúdez-Edo

1.3k total citations
36 papers, 874 citations indexed

About

María Bermúdez-Edo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, María Bermúdez-Edo has authored 36 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. Recurrent topics in María Bermúdez-Edo's work include Context-Aware Activity Recognition Systems (6 papers), Human Mobility and Location-Based Analysis (6 papers) and Time Series Analysis and Forecasting (6 papers). María Bermúdez-Edo is often cited by papers focused on Context-Aware Activity Recognition Systems (6 papers), Human Mobility and Location-Based Analysis (6 papers) and Time Series Analysis and Forecasting (6 papers). María Bermúdez-Edo collaborates with scholars based in Spain, United Kingdom and Australia. María Bermúdez-Edo's co-authors include Payam Barnaghi, Tarek Elsaleh, Kerry Taylor, Nuria Hurtado‐Torres, José Luis García Garrido, Klaus Moessner, Daniel Puschmann, María José Rodríguez‐Fórtiz, Ralf Tönjes and Frieder Ganz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

In The Last Decade

María Bermúdez-Edo

34 papers receiving 847 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
María Bermúdez-Edo Spain 15 298 208 162 157 85 36 874
C. B. Sivaparthipan China 14 187 0.6× 224 1.1× 188 1.2× 116 0.7× 44 0.5× 39 1.0k
Moamin A. Mahmoud Malaysia 20 206 0.7× 260 1.3× 155 1.0× 138 0.9× 45 0.5× 95 1.2k
Subhendu Kumar Pani India 19 209 0.7× 269 1.3× 295 1.8× 126 0.8× 48 0.6× 65 1.1k
BalaAnand Muthu China 20 264 0.9× 334 1.6× 301 1.9× 177 1.1× 59 0.7× 55 1.3k
Hangbae Chang South Korea 13 287 1.0× 103 0.5× 324 2.0× 107 0.7× 56 0.7× 93 806
Juan Boubeta‐Puig Spain 18 449 1.5× 190 0.9× 281 1.7× 115 0.7× 110 1.3× 52 810
Aisha Siddiqa Malaysia 8 521 1.7× 280 1.3× 368 2.3× 135 0.9× 122 1.4× 11 1.1k
Yao Yu China 20 219 0.7× 170 0.8× 202 1.2× 297 1.9× 51 0.6× 72 1.2k
Mohsen Marjani Malaysia 14 484 1.6× 377 1.8× 359 2.2× 113 0.7× 88 1.0× 35 1.2k

Countries citing papers authored by María Bermúdez-Edo

Since Specialization
Citations

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

Fields of papers citing papers by María Bermúdez-Edo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Bermúdez-Edo. 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 María Bermúdez-Edo. The network helps show where María Bermúdez-Edo may publish in the future.

Co-authorship network of co-authors of María Bermúdez-Edo

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

All Works

20 of 20 papers shown
1.
Rodríguez‐Fórtiz, María José, et al.. (2025). Modelling time-series data generation with diffusion models for triaxial data. Applied Soft Computing. 186. 114195–114195.
2.
Garrido, José Luis García, et al.. (2025). SASD: Self-Attention for Small Datasets—A case study in smart villages. Expert Systems with Applications. 271. 126245–126245. 1 indexed citations
3.
Bermúdez-Edo, María, et al.. (2024). Spatio-temporal dynamics of vehicles: Fusion of traffic data and context information. Data in Brief. 53. 110084–110084. 1 indexed citations
4.
Bermúdez-Edo, María, et al.. (2024). Systematic design of health monitoring systems centered on older adults and ADLs. BMC Medical Informatics and Decision Making. 23(S3). 300–300. 2 indexed citations
5.
Bermúdez-Edo, María, et al.. (2024). A semi-automatic mHealth system using wearable devices for identifying pain-related parameters in elderly individuals. International Journal of Medical Informatics. 184. 105371–105371. 7 indexed citations
6.
Expósito, Francisca, et al.. (2024). EEG headbands vs caps: How many electrodes do I need to detect emotions? The case of the MUSE headband. Computers in Biology and Medicine. 184. 109463–109463. 3 indexed citations
7.
Bermúdez-Edo, María, et al.. (2023). Clustering pipeline for vehicle behavior in smart villages. Information Fusion. 104. 102164–102164. 5 indexed citations
8.
De, Suparna, María Bermúdez-Edo, Honghui Xu, & Zhipeng Cai. (2022). Deep Generative Models in the Industrial Internet of Things: A Survey. IEEE Transactions on Industrial Informatics. 18(9). 5728–5737. 60 indexed citations
9.
Martı́n, Juan Carlos Gómez, D. Guirado, Elisa Frattin, et al.. (2021). On the application of scattering matrix measurements to detection and identification of major types of airborne aerosol particles: Volcanic ash, desert dust and pollen. Journal of Quantitative Spectroscopy and Radiative Transfer. 271. 107761–107761. 22 indexed citations
10.
Bermúdez-Edo, María, et al.. (2021). A machine learning approach for semi-automatic assessment of IADL dependence in older adults with wearable sensors. International Journal of Medical Informatics. 157. 104625–104625. 12 indexed citations
11.
Bermúdez-Edo, María, et al.. (2020). A Microservices e-Health System for Ecological Frailty Assessment Using Wearables. Sensors. 20(12). 3427–3427. 30 indexed citations
13.
Bermúdez-Edo, María, Payam Barnaghi, & Klaus Moessner. (2018). Analysing real world data streams with spatio-temporal correlations: Entropy vs. Pearson correlation. Automation in Construction. 88. 87–100. 77 indexed citations
14.
Kolozali, Şefki, Ralf Tönjes, María Bermúdez-Edo, et al.. (2018). Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams. IEEE Internet of Things Journal. 6(2). 2651–2668. 50 indexed citations
15.
Ricciardi, Sergio, et al.. (2017). Ambient Intelligence in the Internet of Things. Mobile Information Systems. 2017. 1–3. 2 indexed citations
16.
Puschmann, Daniel, et al.. (2016). On the Effect of Adaptive and Nonadaptive Analysis of Time-Series Sensory Data. IEEE Internet of Things Journal. 3(6). 1084–1098. 33 indexed citations
17.
Bermúdez-Edo, María, María Visitación Hurtado, Manuel Noguera, & Nuria Hurtado‐Torres. (2015). Managing technological knowledge of patents: HCOntology, a semantic approach. Computers in Industry. 72. 1–13. 9 indexed citations
18.
Bermúdez-Edo, María, et al.. (2014). A Knowledge-Based Approach for Real-Time IoT Data Stream Annotation and Processing. 215–222. 81 indexed citations
19.
Hurtado, María Visitación, María Bermúdez-Edo, Kawtar Benghazi, & Nuria Hurtado‐Torres. (2010). The influence of the perceptions of department heads on the integration of sustainable content in computer and telecommunication engineering schools. Procedia - Social and Behavioral Sciences. 2(2). 3314–3318. 1 indexed citations
20.
Benghazi, Kawtar, María Visitación Hurtado, María Bermúdez-Edo, & Manuel Noguera. (2010). Enabling customizable virtual debate environments in higher education. Procedia - Social and Behavioral Sciences. 2(2). 3319–3323. 2 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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