David Achanccaray

404 total citations
24 papers, 284 citations indexed

About

David Achanccaray is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction. According to data from OpenAlex, David Achanccaray has authored 24 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 12 papers in Cellular and Molecular Neuroscience and 8 papers in Human-Computer Interaction. Recurrent topics in David Achanccaray's work include EEG and Brain-Computer Interfaces (21 papers), Neuroscience and Neural Engineering (12 papers) and Neural dynamics and brain function (6 papers). David Achanccaray is often cited by papers focused on EEG and Brain-Computer Interfaces (21 papers), Neuroscience and Neural Engineering (12 papers) and Neural dynamics and brain function (6 papers). David Achanccaray collaborates with scholars based in Japan, Peru and United Kingdom. David Achanccaray's co-authors include Mitsuhiro Hayashibe, Javier Andreu-Pérez, Marco Antônio Meggiolaro, Shin‐Ichi Izumi, Francisco Sepulveda, Sylvain Chevallier, María‐Pilar Sáenz‐Navajas, Vicente Ferreira, Purificación Fernández‐Zurbano and Saugat Bhattacharyya and has published in prestigious journals such as Scientific Reports, IEEE Access and Frontiers in Human Neuroscience.

In The Last Decade

David Achanccaray

23 papers receiving 280 citations

Peers

David Achanccaray

CMN

EEE

Boris Reuderink Netherlands

Sarah N. Abdulkader Egypt

Kyung-Hwan Shim South Korea

Hongfei Ji China

Chun Sing Louis Tsui United Kingdom

Christopher Coogan United States

Jingsheng Tang China

Xiaoshan Huang China

Boris Reuderink Netherlands

David Achanccaray

512 ×2.2

131 ×1.2

CMN

144 ×1.7

78 ×1.2

EEE

22 ×0.7

Citations per year, relative to David Achanccaray David Achanccaray (= 1×) peers Boris Reuderink

Countries citing papers authored by David Achanccaray

Since Specialization

Citations

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

Fields of papers citing papers by David Achanccaray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Achanccaray

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

All Works

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20 of 20 papers shown

Achanccaray, David & Hidenobu Sumioka. (2023). A Physiological Approach of Presence and VR Sickness in Simulated Teleoperated Social Tasks. 4562–4567. 1 indexed citations

Achanccaray, David & Hidenobu Sumioka. (2023). Analysis of Physiological Response of Attention and Stress States in Teleoperation Performance of Social Tasks. 1–4.

Achanccaray, David, et al.. (2023). Effects of visual-electrotactile stimulation feedback on brain functional connectivity during motor imagery practice. Scientific Reports. 13(1). 17752–17752. 5 indexed citations

Achanccaray, David, et al.. (2022). Deep Adversarial Domain Adaptation With Few-Shot Learning for Motor-Imagery Brain-Computer Interface. IEEE Access. 10. 57255–57265. 26 indexed citations

Achanccaray, David, et al.. (2022). Multibranch convolutional neural network with contrastive representation learning for decoding same limb motor imagery tasks. Frontiers in Human Neuroscience. 16. 1032724–1032724. 5 indexed citations

Achanccaray, David, et al.. (2021). Inter-Subject Transfer Learning Using Euclidean Alignment and Transfer Component Analysis for Motor Imagery-Based BCI. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 3176–3176. 6 indexed citations

Achanccaray, David, Shin‐Ichi Izumi, & Mitsuhiro Hayashibe. (2021). Visual‐Electrotactile Stimulation Feedback to Improve Immersive Brain‐Computer Interface Based on Hand Motor Imagery. Computational Intelligence and Neuroscience. 2021(1). 23 indexed citations

Achanccaray, David & Mitsuhiro Hayashibe. (2020). Decoding Hand Motor Imagery Tasks Within the Same Limb From EEG Signals Using Deep Learning. IEEE Transactions on Medical Robotics and Bionics. 2(4). 692–699. 16 indexed citations

Achanccaray, David, George Mylonas, & Javier Andreu-Pérez. (2019). An Implicit Brain Computer Interface Supported by Gaze Monitoring for Virtual Therapy. 2829–2832. 3 indexed citations

10.

Achanccaray, David, et al.. (2019). A Novel EEG-Based Four-Class Linguistic BCI. PubMed. 2019. 3050–3053. 10 indexed citations

11.

Achanccaray, David, et al.. (2019). Assistive Robot Arm Controlled by a P300-based Brain Machine Interface for Daily Activities. 1171–1174. 8 indexed citations

12.

Flores-Muñoz, V. H., et al.. (2018). A Convolutional Neural Network Approach for a P300-based Brain-Computer Interface for Disabled and Healthy Subjects. 3696. 192–197. 2 indexed citations

13.

Achanccaray, David, et al.. (2018). A Fuzzy Genetic Algorithm for Optimal Spatial Filter Selection for P300-Based Brain Computer Interfaces. 126. 1–6. 3 indexed citations

14.

Achanccaray, David, et al.. (2018). Covert Speech vs. Motor Imagery: a comparative study of class separability in identical environments. PubMed. 2018. 2020–2023. 14 indexed citations

15.

Achanccaray, David, et al.. (2018). Performance Evaluation of a P300 Brain-Computer Interface Using a Kernel Extreme Learning Machine Classifier. pp. 3715–3719. 3 indexed citations

16.

Achanccaray, David, et al.. (2018). Immersive Virtual Reality Feedback in a Brain Computer Interface for Upper Limb Rehabilitation. 1006–1010. 19 indexed citations

17.

Achanccaray, David, et al.. (2017). A P300-based brain computer interface for smart home interaction through an ANFIS ensemble. 24 indexed citations

18.

Achanccaray, David, et al.. (2017). Performance predictors of motor imagery brain-computer interface based on spatial abilities for upper limb rehabilitation. PubMed. 2017. 1014–1017. 10 indexed citations

19.

Achanccaray, David, et al.. (2016). Embedded Brain Machine Interface based on motor imagery paradigm to control prosthetic hand. 1–4. 12 indexed citations

20.

Achanccaray, David, et al.. (2010). Activation of a mobile robot through a brain computer interface. 4815–4821. 46 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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