Róbinson Torres

472 total citations
24 papers, 319 citations indexed

About

Róbinson Torres is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience. According to data from OpenAlex, Róbinson Torres has authored 24 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 7 papers in Cardiology and Cardiovascular Medicine and 5 papers in Cognitive Neuroscience. Recurrent topics in Róbinson Torres's work include Acoustic Wave Resonator Technologies (7 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Analytical Chemistry and Sensors (4 papers). Róbinson Torres is often cited by papers focused on Acoustic Wave Resonator Technologies (7 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Analytical Chemistry and Sensors (4 papers). Róbinson Torres collaborates with scholars based in Colombia, Spain and United Kingdom. Róbinson Torres's co-authors include P. A. Kyriacou, Elisa Mejía‐Mejía, Ralf Lucklum, James M. May, Antonio Arnau, Hubert Perrot, Yolanda Jiménez, C. Gabrielli, Diana Restrepo and Marı́a Moreno and has published in prestigious journals such as SHILAP Revista de lepidopterología, Electrochimica Acta and Sensors.

In The Last Decade

Róbinson Torres

23 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Róbinson Torres Colombia 9 265 90 46 41 40 24 319
Yong Hyeon Yun South Korea 7 281 1.1× 94 1.0× 66 1.4× 7 0.2× 23 0.6× 12 360
Hewon Jung United States 11 192 0.7× 156 1.7× 75 1.6× 81 2.0× 15 0.4× 19 456
Johan Coosemans Belgium 9 258 1.0× 31 0.3× 136 3.0× 9 0.2× 14 0.3× 16 375
Chiara Romano Italy 10 261 1.0× 70 0.8× 79 1.7× 10 0.2× 8 0.2× 31 340
Liangye Li China 9 249 0.9× 41 0.5× 186 4.0× 33 0.8× 16 0.4× 19 348
K.S. Foster United States 14 206 0.8× 64 0.7× 47 1.0× 21 0.5× 6 0.1× 28 490
Damien Ferrario Switzerland 12 233 0.9× 110 1.2× 141 3.1× 7 0.2× 29 0.7× 23 399
Francesca De Tommasi Italy 13 164 0.6× 29 0.3× 146 3.2× 41 1.0× 12 0.3× 40 324
Riccardo Sabbadini Italy 8 226 0.9× 47 0.5× 91 2.0× 5 0.1× 6 0.1× 13 303
Kari Kirjavainen Finland 4 295 1.1× 29 0.3× 60 1.3× 4 0.1× 21 0.5× 6 355

Countries citing papers authored by Róbinson Torres

Since Specialization
Citations

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

Fields of papers citing papers by Róbinson Torres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Róbinson Torres

This figure shows the co-authorship network connecting the top 25 collaborators of Róbinson Torres. A scholar is included among the top collaborators of Róbinson Torres 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 Róbinson Torres. Róbinson Torres 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.
Torres, Róbinson, et al.. (2024). Machine Learning Framework for Classifying and Predicting Depressive Behavior Based on PPG and ECG Feature Extraction. Applied Sciences. 14(18). 8312–8312. 4 indexed citations
2.
Torres, Róbinson, et al.. (2021). Computational model of trachea-alveoli gas movement during spontaneous breathing. Respiratory Physiology & Neurobiology. 294. 103767–103767.
3.
Torres, Róbinson, et al.. (2021). Biosensor based on E-SMS Optical Fiber Structure for Detection of Anti BSA. SF2D.7–SF2D.7. 1 indexed citations
4.
Mejía‐Mejía, Elisa, James M. May, Róbinson Torres, & P. A. Kyriacou. (2020). Pulse rate variability in cardiovascular health: a review on its applications and relationship with heart rate variability. Physiological Measurement. 41(7). 07TR01–07TR01. 85 indexed citations
5.
Mejía‐Mejía, Elisa, Róbinson Torres, & Diana Restrepo. (2019). Assessment of high coherent states using heart rate variability, pulse transit time and respiratory signals. Biomedical Physics & Engineering Express. 5(4). 45008–45008. 1 indexed citations
6.
Torres, Róbinson, et al.. (2018). Use of Transient Time Response as a Measure to Characterize Phononic Crystal Sensors. Sensors. 18(11). 3618–3618. 25 indexed citations
7.
Torres, Róbinson, et al.. (2017). Differential Phononic Crystal Sensor: Towards a Temperature Compensation Mechanism for Field Applications Development. Sensors. 17(9). 1960–1960. 41 indexed citations
8.
Torres, Róbinson, et al.. (2017). Fully-disposable multilayered phononic crystal liquid sensor with symmetry reduction and a resonant cavity. Measurement. 102. 20–25. 51 indexed citations
9.
Mejía‐Mejía, Elisa, Róbinson Torres, & Diana Restrepo. (2017). Physiological coherence in healthy volunteers during laboratory‐induced stress and controlled breathing. Psychophysiology. 55(6). e13046–e13046. 8 indexed citations
10.
Torres, Róbinson, et al.. (2017). Low-power system for the acquisition of the respiratory signal of neonates using diaphragmatic electromyography. Medical Devices Evidence and Research. Volume 10. 47–52. 3 indexed citations
11.
Montoya, A., Marı́a Moreno, Juan J. Manclús, et al.. (2016). A High Fundamental Frequency (HFF)-based QCM Immunosensor for Tuberculosis Detection. Current Topics in Medicinal Chemistry. 17(14). 1623–1630. 13 indexed citations
12.
Torres, Róbinson, et al.. (2014). Feasibility of non-invasive blood pressure estimation based on pulse arrival time: a MIMIC database study. Computing in Cardiology Conference. 1113–1116. 7 indexed citations
13.
Torres, Róbinson, Elizabeth Pabón, Jaime Robledo, et al.. (2014). Advances in the development of a piezoelectric immunosensor for the detection of a tuberculosis biomarker. 1–4. 2 indexed citations
14.
Montoya, A., et al.. (2013). Design of a piezoelectric immunosensor for tuberculosis biomarker detection. 93. 1–7. 3 indexed citations
15.
Posada, Andrés, et al.. (2009). P300-based brain computer interface experimental setup. PubMed. 43. 598–601. 4 indexed citations
16.
Torres, Róbinson, et al.. (2009). Development of an apnea detector for neonates using diaphragmatic surface electromyography. PubMed. 2009. 7095–7098. 7 indexed citations
17.
Torres, Róbinson, et al.. (2008). Improved frequency/voltage converters for fast quartz crystal microbalance applications. Review of Scientific Instruments. 79(4). 45113–45113. 15 indexed citations
18.
Torres, Róbinson, et al.. (2007). ELECTRONIC SYSTEM FOR EXPERIMENTATION IN AC ELECTROGRAVIMETRY II: IMPLEMENTED DESIGN. SHILAP Revista de lepidopterología. 5 indexed citations
19.
Torres, Róbinson, Antonio Arnau, & Hubert Perrot. (2006). ELECTRONIC SYSTEM FOR EXPERIMENTATION IN AC ELECTROGRAVIMETRY I: TECHNIQUE FUNDAMENTALS. Revista EIA. 3(5). 9–21. 1 indexed citations
20.
Torres, Róbinson, Antonio Arnau, Hubert Perrot, Javier Garcı́a, & C. Gabrielli. (2006). Analogue–digital phase-locked loop for alternating current quartz electrogravimetry. Electronics Letters. 42(22). 1272–1273. 10 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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