Camilo E. Valderrama

492 total citations
39 papers, 285 citations indexed

About

Camilo E. Valderrama is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Camilo E. Valderrama has authored 39 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Experimental and Cognitive Psychology, 12 papers in Cognitive Neuroscience and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Camilo E. Valderrama's work include Emotion and Mood Recognition (12 papers), EEG and Brain-Computer Interfaces (12 papers) and ECG Monitoring and Analysis (6 papers). Camilo E. Valderrama is often cited by papers focused on Emotion and Mood Recognition (12 papers), EEG and Brain-Computer Interfaces (12 papers) and ECG Monitoring and Analysis (6 papers). Camilo E. Valderrama collaborates with scholars based in Canada, United States and United Kingdom. Camilo E. Valderrama's co-authors include Gari D. Clifford, Peter Rohloff, Rachel Hall‐Clifford, Faezeh Marzbanrad, Boris Martinez, Sergio Camorlinga, Ann C. Miller, Joon Lee, Alaa Abou-Zeid and Hilary Bower and has published in prestigious journals such as The Lancet, Frontiers in Psychology and Frontiers in Physiology.

In The Last Decade

Camilo E. Valderrama

34 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Camilo E. Valderrama Canada 10 104 91 49 44 43 39 285
Mohammad Mokhtari Iran 7 46 0.4× 54 0.6× 33 0.7× 34 0.8× 26 0.6× 18 347
Tamara M. Dugan United States 13 135 1.3× 81 0.9× 23 0.5× 21 0.5× 63 1.5× 17 486
Maria Tan Canada 12 61 0.6× 37 0.4× 24 0.5× 11 0.3× 81 1.9× 36 409
Michael Witt Germany 8 66 0.6× 35 0.4× 9 0.2× 12 0.3× 107 2.5× 23 415
Bahare Andayeshgar Iran 12 47 0.5× 10 0.1× 12 0.2× 18 0.4× 77 1.8× 24 294
Liz McNeill Australia 11 52 0.5× 19 0.2× 15 0.3× 33 0.8× 18 0.4× 38 493
Ameer Hohlfeld South Africa 9 57 0.5× 51 0.6× 14 0.3× 66 1.5× 62 1.4× 31 292
Barron L. Patterson United States 8 119 1.1× 44 0.5× 47 1.0× 7 0.2× 61 1.4× 20 475
Jay Pandit United States 12 62 0.6× 8 0.1× 21 0.4× 127 2.9× 20 0.5× 31 442
Eric Einspruch United States 9 39 0.4× 14 0.2× 28 0.6× 17 0.4× 26 0.6× 17 585

Countries citing papers authored by Camilo E. Valderrama

Since Specialization
Citations

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

Fields of papers citing papers by Camilo E. Valderrama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Camilo E. Valderrama. 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 Camilo E. Valderrama. The network helps show where Camilo E. Valderrama may publish in the future.

Co-authorship network of co-authors of Camilo E. Valderrama

This figure shows the co-authorship network connecting the top 25 collaborators of Camilo E. Valderrama. A scholar is included among the top collaborators of Camilo E. Valderrama 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 Camilo E. Valderrama. Camilo E. Valderrama 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.
Valderrama, Camilo E., et al.. (2025). Impact of sex differences on subject-independent EEG-based emotion recognition models. Computers in Biology and Medicine. 190. 110036–110036. 1 indexed citations
2.
Valderrama, Camilo E., et al.. (2025). Hybrid vision transformer framework for efficient and explainable SEM image-based nanomaterial classification. Machine Learning Science and Technology. 6(1). 15066–15066. 2 indexed citations
3.
4.
Valderrama, Camilo E., et al.. (2025). Fractal Dimension of Resting-State EEG as a Biomarker for Autonomous Sensory Meridian Response (ASMR). IEEE Journal of Biomedical and Health Informatics. 29(12). 8751–8758.
5.
Valderrama, Camilo E., et al.. (2025). Identifying relevant EEG channels for subject-independent emotion recognition using attention network layers. Frontiers in Psychiatry. 16. 1494369–1494369. 5 indexed citations
6.
Valderrama, Camilo E., et al.. (2025). Feature engineering through two-level genetic algorithm. Machine Learning with Applications. 21. 100696–100696. 1 indexed citations
7.
8.
Valderrama, Camilo E., et al.. (2024). Performance Analysis of Machine Learning Models for Human Activity Classification. Engineered Science. 2 indexed citations
9.
Valderrama, Camilo E., et al.. (2024). Exploring parental factors influencing low birth weight on the 2022 CDC natality dataset. BMC Medical Informatics and Decision Making. 24(1). 367–367. 2 indexed citations
10.
Ekzayez, Abdulkarim, et al.. (2023). Health system recovery in Northwest Syria–challenges and operationalization. Humanities and Social Sciences Communications. 10(1). 9 indexed citations
11.
Valderrama, Camilo E., Daniel J. Niven, Henry T. Stelfox, & Joon Lee. (2022). Predicting Abnormal Laboratory Blood Test Results in the Intensive Care Unit Using Novel Features Based on Information Theory and Historical Conditional Probability: Observational Study. JMIR Medical Informatics. 10(6). e35250–e35250. 3 indexed citations
12.
Marzbanrad, Faezeh, et al.. (2020). Unsupervised hidden semi-Markov model for automatic beat onset detection in 1D Doppler ultrasound. Physiological Measurement. 41(8). 85007–85007. 5 indexed citations
13.
Valderrama, Camilo E., Faezeh Marzbanrad, Rachel Hall‐Clifford, Peter Rohloff, & Gari D. Clifford. (2020). A Proxy for Detecting IUGR Based on Gestational Age Estimation in a Guatemalan Rural Population. Frontiers in Artificial Intelligence. 3. 56–56. 6 indexed citations
14.
Valderrama, Camilo E., et al.. (2020). Estimating birth weight from observed postnatal weights in a Guatemalan highland community. Physiological Measurement. 41(2). 25008–25008. 4 indexed citations
15.
Valderrama, Camilo E., et al.. (2019). An open source autocorrelation-based method for fetal heart rate estimation from one-dimensional Doppler ultrasound. Physiological Measurement. 40(2). 25005–25005. 17 indexed citations
16.
Valderrama, Camilo E., Faezeh Marzbanrad, Boris Martinez, et al.. (2018). Improving the Quality of Point of Care Diagnostics with Real-Time Machine Learning in Low Literacy LMIC Settings. 1–11. 13 indexed citations
17.
Valderrama, Camilo E., et al.. (2017). Template-based Quality Assessment of the Doppler Ultrasound Signal for Fetal Monitoring. Frontiers in Physiology. 8. 511–511. 11 indexed citations
18.
Bower, Hilary, et al.. (2017). Attacks against health care in Syria, 2015–16: results from a real-time reporting tool. The Lancet. 390(10109). 2278–2286. 49 indexed citations
19.
Valderrama, Camilo E., et al.. (2012). Spectral analysis of physiological parameters for consumers' emotion detection. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 10(20). 27–27. 2 indexed citations
20.
Klevens, Joanne, et al.. (1992). Teaching community Oriented Primary Care in a traditional medical school: A two year progress report. Journal of Community Health. 17(4). 231–245. 9 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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