Neide Simões‐Capela

429 total citations
7 papers, 310 citations indexed

About

Neide Simões‐Capela is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Surgery. According to data from OpenAlex, Neide Simões‐Capela has authored 7 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 4 papers in Biomedical Engineering and 1 paper in Surgery. Recurrent topics in Neide Simões‐Capela's work include Heart Rate Variability and Autonomic Control (4 papers), Non-Invasive Vital Sign Monitoring (3 papers) and ECG Monitoring and Analysis (2 papers). Neide Simões‐Capela is often cited by papers focused on Heart Rate Variability and Autonomic Control (4 papers), Non-Invasive Vital Sign Monitoring (3 papers) and ECG Monitoring and Analysis (2 papers). Neide Simões‐Capela collaborates with scholars based in Belgium, Netherlands and India. Neide Simões‐Capela's co-authors include Chris Van Hoof, Nick Van Helleputte, Dwaipayan Biswas, Rik Vullings, Willemijn Groenendaal, Yifan Zhang, Shuang Song, W. De Raedt, Giuseppina Schiavone and Yuyang Wang and has published in prestigious journals such as Sensors, Frontiers in Neuroscience and IEEE Sensors Journal.

In The Last Decade

Neide Simões‐Capela

7 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neide Simões‐Capela Belgium 5 256 206 101 42 22 7 310
Elisa Mejía‐Mejía United Kingdom 10 308 1.2× 295 1.4× 129 1.3× 52 1.2× 33 1.5× 23 395
J. Santhosh India 5 196 0.8× 215 1.0× 63 0.6× 51 1.2× 36 1.6× 14 367
Hyeon Seok Seok South Korea 5 195 0.8× 167 0.8× 87 0.9× 26 0.6× 20 0.9× 14 279
Vicente Azorin-Peris United Kingdom 7 327 1.3× 249 1.2× 164 1.6× 40 1.0× 18 0.8× 9 353
Glauber Gean de Vasconcelos Brazil 5 164 0.6× 153 0.7× 69 0.7× 20 0.5× 8 0.4× 14 261
Szymon Sieciński Poland 10 164 0.6× 137 0.7× 44 0.4× 26 0.6× 15 0.7× 32 289
Wan-Hua Lin China 14 432 1.7× 432 2.1× 192 1.9× 44 1.0× 14 0.6× 30 607
S. M. A. Salehizadeh United States 6 311 1.2× 263 1.3× 143 1.4× 26 0.6× 5 0.2× 8 345
Jeffrey Bolkhovsky United States 9 193 0.8× 190 0.9× 54 0.5× 85 2.0× 78 3.5× 19 346
Viktor Avbelj Slovenia 13 220 0.9× 355 1.7× 62 0.6× 57 1.4× 7 0.3× 58 457

Countries citing papers authored by Neide Simões‐Capela

Since Specialization
Citations

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

Fields of papers citing papers by Neide Simões‐Capela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neide Simões‐Capela. 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 Neide Simões‐Capela. The network helps show where Neide Simões‐Capela may publish in the future.

Co-authorship network of co-authors of Neide Simões‐Capela

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

All Works

7 of 7 papers shown
1.
Simões‐Capela, Neide, Jan Cornelis, Giuseppina Schiavone, & Chris Van Hoof. (2021). A 2-minute Fitness Test for Lifestyle Applications: The PhysioFit Task and Its Analysis based on Heart Rate. 377–385. 2 indexed citations
2.
Simões‐Capela, Neide, et al.. (2020). Assessing the signal quality of electrocardiograms from varied acquisition sources: A generic machine learning pipeline for model generation. Computers in Biology and Medicine. 130. 104164–104164. 15 indexed citations
3.
Simões‐Capela, Neide, et al.. (2020). Reveal Temporal Patterns of Smoking Behavior in Real Life Using Data Acquired through Automatic Tracking Systems. PubMed. 2020. 6005–6008. 1 indexed citations
4.
Simões‐Capela, Neide, Giuseppina Schiavone, W. De Raedt, Elske Vrieze, & Chris Van Hoof. (2019). Toward Quantifying the Psychopathology of Eating Disorders From the Autonomic Nervous System Perspective: A Methodological Approach. Frontiers in Neuroscience. 13. 606–606. 6 indexed citations
5.
Biswas, Dwaipayan, Neide Simões‐Capela, Chris Van Hoof, & Nick Van Helleputte. (2019). Heart Rate Estimation From Wrist-Worn Photoplethysmography: A Review. IEEE Sensors Journal. 19(16). 6560–6570. 178 indexed citations
6.
Zhang, Yifan, Shuang Song, Rik Vullings, et al.. (2019). Motion Artifact Reduction for Wrist-Worn Photoplethysmograph Sensors Based on Different Wavelengths. Sensors. 19(3). 673–673. 94 indexed citations
7.
Gautam, Arvind, Neide Simões‐Capela, Giuseppina Schiavone, et al.. (2018). A Data Driven Empirical Iterative Algorithm for GSR Signal Pre-Processing. 1162–1166. 14 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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