Daniel Rocha

559 citations
21 papers · 378 · 1 hit paper · h-index 9

Impact in

Papers in

Daniel Rocha

20 papers receiving 375 citations

Daniel Rocha's Hit Papers

Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation–Related Stroke 2021 · 219 citations
2190+1+3Years since publication50100150200

Peers

Daniel Rocha
Comparison fields: 5 of 76
  • Health Informatics 20
  • Cardiology and Cardiovascular Medicine 158
  • Biological Psychiatry 6
  • Cognitive Neuroscience 48
  • Industrial and Manufacturing Engineering 27
Replace Zoltán Tősér with:
Zoltán Tősér Hungary
Ade Iriani Sapitri Indonesia
Prathamesh Kulkarni India
Qunfeng Tang China
Carolyn Jean Park United States
Jyothi Samanth India
Scott Siegel United States
Arun Nemani United States
Parisa Gifani Iran
Dani Kiyasseh United States
Daniel Rocha relative to Zoltán Tősér Hungary Zoltán Tősér's profile →
Citations per field
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Zoltán Tősér · 1×
Citations per year

Countries citing papers authored by Daniel Rocha

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Rocha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Rocha, 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 Daniel Rocha Line = papers co-authored together Daniel Rocha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation–Related Stroke
Hit paper breakdown →
2021219
2 202321
3 202420
4 201120
5 202416
6 202212
7 202511
8
Development of an Automatic Combination System of Clothing Parts for Blind People: MyEyes
201810
9 201710
10 20237
11 20225
12 20235
13 20245
14 20204
15 20193
16 20213
17 20213
18 20232
19 20231
20 20171

About Daniel Rocha

Daniel Rocha is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Renewable Energy, Sustainability and the Environment and Artificial Intelligence, having authored 21 papers that have together received 378 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (6 papers), Tactile and Sensory Interactions (4 papers), Advanced Neural Network Applications (4 papers), Visual Attention and Saliency Detection (3 papers), Image Enhancement Techniques (2 papers), Photovoltaic System Optimization Techniques (2 papers), Currency Recognition and Detection (2 papers) and Chronic Disease Management Strategies (1 paper). The work is most often cited by research in Health Informatics (20 citations), Cardiology and Cardiovascular Medicine (158 citations), Biological Psychiatry (6 citations), Cognitive Neuroscience (48 citations) and Industrial and Manufacturing Engineering (27 citations). Daniel Rocha has collaborated with scholars based in Portugal, United States and India. Frequent co-authors include Eva Oliveira, Vitor Hugo Carvalho, Filomena Soares, Joaquim José Gonçalves, Pedro M. P. Salomé, Jorge Umberto Béria, Aírton Tetelbom Stein, Daniel Simon, Vagner Ricardo Lunge and Paulo A. Fernandes. Their work appears in journals such as Applied Sciences, IEEE Journal of Photovoltaics, Nature Communications, Sensors and Circulation.

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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