David Balderas

560 total citations
23 papers, 360 citations indexed

About

David Balderas is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, David Balderas has authored 23 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 7 papers in Electrical and Electronic Engineering and 4 papers in Artificial Intelligence. Recurrent topics in David Balderas's work include EEG and Brain-Computer Interfaces (7 papers), Neural dynamics and brain function (4 papers) and Advanced Memory and Neural Computing (4 papers). David Balderas is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Neural dynamics and brain function (4 papers) and Advanced Memory and Neural Computing (4 papers). David Balderas collaborates with scholars based in Mexico, United Kingdom and United States. David Balderas's co-authors include Arturo Molina, Pedro Ponce, Luis Arturo Soriano, Erik Zamora, Gerardo Hernández, Gernot Müller-Putz, Reinhold Scherer, Josef Faller, Elisabeth V. C. Friedrich and Brendan Z. Allison and has published in prestigious journals such as Expert Systems with Applications, Sensors and Energy and Buildings.

In The Last Decade

David Balderas

21 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Balderas Mexico 11 93 74 73 62 39 23 360
José-Luis Sánchez-Romero Spain 13 39 0.4× 66 0.9× 62 0.8× 56 0.9× 46 1.2× 51 405
Muhammad Fayaz Kyrgyzstan 15 93 1.0× 108 1.5× 60 0.8× 94 1.5× 12 0.3× 38 515
S. Ramkumar India 14 163 1.8× 86 1.2× 32 0.4× 53 0.9× 11 0.3× 62 500
QingE Wu China 11 39 0.4× 68 0.9× 60 0.8× 61 1.0× 33 0.8× 73 383
Zhanli Li China 11 106 1.1× 73 1.0× 19 0.3× 49 0.8× 24 0.6× 75 415
Xi Zhao China 10 114 1.2× 77 1.0× 33 0.5× 95 1.5× 8 0.2× 32 388
Umer Asgher Pakistan 9 129 1.4× 34 0.5× 33 0.5× 32 0.5× 95 2.4× 39 380
Vandana Roy India 14 168 1.8× 126 1.7× 50 0.7× 63 1.0× 31 0.8× 47 781
Ömer Faruk Bay Türkiye 10 72 0.8× 74 1.0× 74 1.0× 125 2.0× 6 0.2× 46 403

Countries citing papers authored by David Balderas

Since Specialization
Citations

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

Fields of papers citing papers by David Balderas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Balderas

This figure shows the co-authorship network connecting the top 25 collaborators of David Balderas. A scholar is included among the top collaborators of David Balderas 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 David Balderas. David Balderas 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
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Balderas, David, et al.. (2024). Exploring inter-trial coherence for inner speech classification in EEG-based brain–computer interface. Journal of Neural Engineering. 21(2). 26048–26048. 3 indexed citations
3.
Balderas, David, et al.. (2024). Lack of verified Inclusive Technology for Workers with disabilities in industry 4.0: a systematic review. International Journal of Sustainable Engineering. 17(1). 190–210. 12 indexed citations
4.
Balderas, David, et al.. (2023). Implications of Artificial Intelligence Algorithms in the Diagnosis and Treatment of Motor Neuron Diseases—A Review. Life. 13(4). 1031–1031. 5 indexed citations
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Balderas, David, et al.. (2022). Implementation of NAO Robot Maze Navigation Based on Computer Vision and Collaborative Learning. Frontiers in Robotics and AI. 9. 834021–834021. 5 indexed citations
7.
Balderas, David, et al.. (2022). A State-of-the-Art Review of EEG-Based Imagined Speech Decoding. Frontiers in Human Neuroscience. 16. 867281–867281. 40 indexed citations
8.
Balderas, David, et al.. (2021). Empowering Digital Twin for Industry 4.0 using metaheuristic optimization algorithms: case study PCB drilling optimization. The International Journal of Advanced Manufacturing Technology. 113(5-6). 1295–1306. 32 indexed citations
9.
Balderas, David, et al.. (2021). Education 4.0: Teaching the Basics of KNN, LDA and Simple Perceptron Algorithms for Binary Classification Problems. Future Internet. 13(8). 193–193. 23 indexed citations
10.
Soriano, Luis Arturo, et al.. (2020). PD Control Compensation Based on a Cascade Neural Network Applied to a Robot Manipulator. Frontiers in Neurorobotics. 14. 577749–577749. 76 indexed citations
11.
Moreno‐García, Carlos Francisco, et al.. (2020). A pipeline framework for robot maze navigation using computer vision, path planning and communication protocols. 152–157. 1 indexed citations
12.
Ponce, Pedro, et al.. (2020). Improved MPPT Algorithm for Photovoltaic Systems Based on the Earthquake Optimization Algorithm. Energies. 13(12). 3047–3047. 21 indexed citations
13.
Balderas, David, et al.. (2020). Decision-making laboratory for socio-technological systems. International Journal on Interactive Design and Manufacturing (IJIDeM). 14(4). 1557–1568. 1 indexed citations
14.
Balderas, David, et al.. (2018). Are the long–short term memory and convolution neural networks really based on biological systems?. ICT Express. 4(2). 100–106. 10 indexed citations
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Balderas, David, Pedro Ponce, & Arturo Molina. (2018). Convolutional long short term memory deep neural networks for image sequence prediction. Expert Systems with Applications. 122. 152–162. 38 indexed citations
17.
Ponce, Pedro, David Balderas, Therese Peffer, & Arturo Molina. (2017). Deep learning for automatic usability evaluations based on images: A case study of the usability heuristics of thermostats. Energy and Buildings. 163. 111–120. 15 indexed citations
18.
Balderas, David, Arturo Molina, & Pedro Ponce. (2015). Alternative Classification Techniques for Brain-Computer Interfaces for Smart Sensor Manufacturing Environments. IFAC-PapersOnLine. 48(3). 680–685. 6 indexed citations
19.
Scherer, Reinhold, Josef Faller, David Balderas, et al.. (2012). Brain–computer interfacing: more than the sum of its parts. Soft Computing. 17(2). 317–331. 34 indexed citations
20.
Mulder, Mark, David A. Abbink, M. M. van Paassen, et al.. (2011). Identification of time variant neuromuscular admittance using wavelets. 1474–1480. 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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