João Sanches

108 papers receiving 1.8k citations

Peers

João Sanches
Comparison fields: 5 of 133
  • Health Informatics 41
  • Radiology, Nuclear Medicine and Imaging 568
  • Computer Vision and Pattern Recognition 455
  • Health Information Management 87
  • Biophysics 107
Replace Sarada Prasad Dakua with:
Sarada Prasad Dakua Qatar
Yasser M. Kadah Egypt
Maode Lai China
Ashish Sharma United States
Jitendra Virmani India
Evangelia I. Zacharaki Greece
Weijie Chen United States
Luca Saba Italy
Chung‐Ming Chen Taiwan
João Sanches relative to Sarada Prasad Dakua Qatar Sarada Prasad Dakua's profile →
Citations per field
00.5×10×20×27.6×
Sarada Prasad Dakua · 1×
Citations per year

Countries citing papers authored by João Sanches

Since Specialization
Citations

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

Fields of papers citing papers by João Sanches

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017126
2 201599
3 201297
4 201796
5 201384
6 200878
7 201676
8 201261
9 201157
10 200855
11 201745
12 201242
13 201540
14 201437
15 201237
16 201336
17 201433
18 202130
19 201730
20 200929

About João Sanches

João Sanches is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Molecular Biology and Biophysics, having authored 111 papers that have together received 1.9k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (23 papers), Medical Image Segmentation Techniques (22 papers), Advanced MRI Techniques and Applications (13 papers), Cell Image Analysis Techniques (12 papers), Cardiovascular Health and Disease Prevention (12 papers), Ultrasound Imaging and Elastography (11 papers), Cerebrovascular and Carotid Artery Diseases (11 papers) and Liver Disease Diagnosis and Treatment (9 papers). The work is most often cited by research in Health Informatics (41 citations), Radiology, Nuclear Medicine and Imaging (568 citations), Computer Vision and Pattern Recognition (455 citations), Health Information Management (87 citations) and Biophysics (107 citations). João Sanches has collaborated with scholars based in Portugal, United States and Italy. Frequent co-authors include Jasjit S. Suri, Jorge S. Marques, José Seabra, Manya Afonso, Luís Mendes Pedro, Rui Tato Marinho, U. Rajendra Acharya, S. Vinitha Sree, Luca Saba and Jacinto C. Nascimento. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Scientific Reports, IEEE Transactions on Image Processing, Ultrasound in Medicine & Biology and Computer Methods and Programs in Biomedicine.

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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