Juan E. Arco

806 total citations
23 papers, 346 citations indexed

About

Juan E. Arco is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Juan E. Arco has authored 23 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 5 papers in Biomedical Engineering and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Juan E. Arco's work include Functional Brain Connectivity Studies (7 papers), EEG and Brain-Computer Interfaces (6 papers) and Neural dynamics and brain function (5 papers). Juan E. Arco is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), EEG and Brain-Computer Interfaces (6 papers) and Neural dynamics and brain function (5 papers). Juan E. Arco collaborates with scholars based in Spain, United Kingdom and Belgium. Juan E. Arco's co-authors include Javier Ramı́rez, J. M. Górriz, Marı́a Ruz, Andrés Ortíz, I. Álvarez, Carlos González‐García, Francisco J. Martínez-Murcia, Carlos G. Puntonet, C. Jiménez-Mesa and Yudong Zhang and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Cerebral Cortex.

In The Last Decade

Juan E. Arco

21 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan E. Arco Spain 12 103 83 72 63 39 23 346
S. N. Kumar India 10 58 0.6× 133 1.6× 71 1.0× 46 0.7× 31 0.8× 32 386
Kamlesh Jha India 10 170 1.7× 117 1.4× 109 1.5× 101 1.6× 7 0.2× 36 442
Margarita-Arimatea Díaz-Cortés Mexico 10 79 0.8× 80 1.0× 68 0.9× 59 0.9× 32 0.8× 14 307
Jiannan Zheng China 10 191 1.9× 139 1.7× 77 1.1× 87 1.4× 66 1.7× 24 533
Saravanan Srinivasan India 11 39 0.4× 121 1.5× 127 1.8× 86 1.4× 23 0.6× 22 388
Roberto Rosas-Romero Mexico 10 65 0.6× 78 0.9× 84 1.2× 96 1.5× 16 0.4× 33 466
T. Sunil Kumar India 11 190 1.8× 124 1.5× 209 2.9× 141 2.2× 11 0.3× 35 528
Ali Arı Türkiye 9 33 0.3× 169 2.0× 106 1.5× 54 0.9× 23 0.6× 30 388
Kuryati Kipli Malaysia 10 34 0.3× 68 0.8× 27 0.4× 105 1.7× 16 0.4× 72 341
Charturong Tantibundhit Thailand 9 52 0.5× 82 1.0× 121 1.7× 97 1.5× 14 0.4× 53 346

Countries citing papers authored by Juan E. Arco

Since Specialization
Citations

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

Fields of papers citing papers by Juan E. Arco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan E. Arco

This figure shows the co-authorship network connecting the top 25 collaborators of Juan E. Arco. A scholar is included among the top collaborators of Juan E. Arco 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 Juan E. Arco. Juan E. Arco 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.
Martínez-Murcia, Francisco J., Juan E. Arco, C. Jiménez-Mesa, et al.. (2024). Bridging Imaging and Clinical Scores in Parkinson’s Progression via Multimodal Self-Supervised Deep Learning. International Journal of Neural Systems. 34(8). 2450043–2450043. 7 indexed citations
2.
Ortíz, Andrés, et al.. (2024). Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis. Interdisciplinary Sciences Computational Life Sciences. 16(4). 1005–1018. 3 indexed citations
3.
Arco, Juan E., Andrés Ortíz, Verónica Pérez‐Cabezas, et al.. (2023). Use of Artificial Intelligence in the Identification and Diagnosis of Frailty Syndrome in Older Adults: Scoping Review. Journal of Medical Internet Research. 25. e47346–e47346. 13 indexed citations
4.
Arco, Juan E., et al.. (2023). Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism. International Journal of Neural Systems. 33(4). 2350019–2350019. 13 indexed citations
5.
Castillo-Barnés, Diego, Francisco J. Martínez-Murcia, C. Jiménez-Mesa, et al.. (2023). Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson’s Disease Using Multimodal Data. International Journal of Neural Systems. 33(8). 2350041–2350041. 11 indexed citations
6.
Jiménez-Mesa, C., Juan E. Arco, Francisco J. Martínez-Murcia, et al.. (2023). Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects. Pharmacological Research. 197. 106984–106984. 17 indexed citations
7.
Arco, Juan E., Andrés Ortíz, Diego Castillo-Barnés, J. M. Górriz, & Javier Ramı́rez. (2023). Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer’s disease progression. Applied Soft Computing. 134. 109991–109991. 7 indexed citations
8.
Arco, Juan E., et al.. (2023). Identifying HRV patterns in ECG signals as early markers of dementia. Expert Systems with Applications. 243. 122934–122934. 6 indexed citations
9.
Jiménez-Mesa, C., Juan E. Arco, Meritxell Valentí, et al.. (2023). Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern. International Journal of Neural Systems. 33(4). 2350015–2350015. 16 indexed citations
10.
Arco, Juan E., Andrés Ortíz, Javier Ramı́rez, et al.. (2022). Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification. IEEE Transactions on Emerging Topics in Computational Intelligence. 7(5). 1431–1441. 3 indexed citations
11.
Arco, Juan E., Javier Ramı́rez, J. M. Górriz, & Marı́a Ruz. (2021). Data fusion based on Searchlight analysis for the prediction of Alzheimer’s disease. Expert Systems with Applications. 185. 115549–115549. 32 indexed citations
12.
Arco, Juan E., et al.. (2020). Neural representations of social valence bias economic interpersonal choices. Neuropsychologia. 147. 107584–107584.
13.
González‐García, Carlos, et al.. (2019). Representational Organization of Novel Task Sets during Proactive Encoding. Journal of Neuroscience. 39(42). 8386–8397. 15 indexed citations
14.
Gilbert, Sam J., et al.. (2019). Neural representation of current and intended task sets during sequential judgements on human faces. NeuroImage. 204. 116219–116219. 2 indexed citations
15.
Arco, Juan E., et al.. (2019). Atlas-Based Classification Algorithms for Identification of Informative Brain Regions in fMRI Data. Neuroinformatics. 18(2). 219–236. 5 indexed citations
16.
González‐García, Carlos, et al.. (2018). Transient and Sustained Control Mechanisms Supporting Novel Instructed Behavior. Cerebral Cortex. 29(9). 3948–3960. 16 indexed citations
17.
Arco, Juan E., et al.. (2018). Influence of activation pattern estimates and statistical significance tests in fMRI decoding analysis. Journal of Neuroscience Methods. 308. 248–260. 13 indexed citations
18.
González‐García, Carlos, et al.. (2017). Encoding, preparation and implementation of novel complex verbal instructions. NeuroImage. 148. 264–273. 20 indexed citations
19.
Arco, Juan E., Javier Ramı́rez, Carlos G. Puntonet, J. M. Górriz, & Marı́a Ruz. (2016). Improving short-term prediction from MCI to AD by applying searchlight analysis. Institutional Repository of the University of Granada (University of Granada). 10–13. 3 indexed citations
20.
Arco, Juan E., J. M. Górriz, Javier Ramı́rez, I. Álvarez, & Carlos G. Puntonet. (2014). Digital image analysis for automatic enumeration of malaria parasites using morphological operations. Expert Systems with Applications. 42(6). 3041–3047. 64 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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