Juan E. Arco

806 citations
23 papers · 346 · h-index 12

Impact in

Papers in

Juan E. Arco

21 papers receiving 340 citations

Peers

Juan E. Arco
Comparison fields: 5 of 94
  • Health Informatics 17
  • Cognitive Neuroscience 103
  • Media Technology 39
  • Neurology 34
  • Computer Vision and Pattern Recognition 83
Replace Jiannan Zheng with:
Jiannan Zheng China
Ramesh Kumar Lama South Korea
Pratheepan Yogarajah United Kingdom
Kanghan Oh South Korea
Kiran Kumar Patro India
Vamsi Krishna Ithapu United States
Qiankun Zuo China
S. N. Kumar India
Kamlesh Jha India
Sajid Gul Khawaja Pakistan
Juan E. Arco relative to Jiannan Zheng China Jiannan Zheng's profile →
Citations per field
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Jiannan Zheng · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Juan E. Arco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Juan E. Arco Line = papers co-authored together Juan E. Arco links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201464
2 202142
3 202238
4 202132
5 201720
6 202317
7 201816
8 202316
9 201915
10 202313
11 202313
12 201813
13 202311
14 20247
15 20237
16 20236
17 20195
18 20163
19 20243
20 20223

About Juan E. Arco

Juan E. Arco is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Neurology and Psychiatry and Mental health, having authored 23 papers that have together received 346 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (7 papers), EEG and Brain-Computer Interfaces (6 papers), Neural dynamics and brain function (5 papers), Brain Tumor Detection and Classification (4 papers), Neural and Behavioral Psychology Studies (4 papers), COVID-19 diagnosis using AI (3 papers), Dementia and Cognitive Impairment Research (3 papers) and Action Observation and Synchronization (2 papers). The work is most often cited by research in Health Informatics (17 citations), Cognitive Neuroscience (103 citations), Media Technology (39 citations), Neurology (34 citations) and Computer Vision and Pattern Recognition (83 citations). Juan E. Arco has collaborated with scholars based in Spain, United Kingdom and Belgium. Frequent co-authors include Javier Ramı́rez, J. M. Górriz, Marı́a Ruz, Andrés Ortíz, Carlos González‐García, I. Álvarez, Carlos G. Puntonet, Francisco J. Martínez-Murcia, Yudong Zhang and C. Jiménez-Mesa. Their work appears in journals such as International Journal of Neural Systems, Expert Systems with Applications, NeuroImage, Journal of Neuroscience and IEEE Journal of Biomedical and Health Informatics.

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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