Rogério Richa

757 citations
24 papers · 498 · h-index 13

Impact in

Papers in

Rogério Richa

24 papers receiving 485 citations

Peers

Rogério Richa
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 262
  • Aerospace Engineering 141
  • Biomedical Engineering 201
  • Radiology, Nuclear Medicine and Imaging 93
  • Ophthalmology 31
Replace Elvis C. S. Chen with:
Elvis C. S. Chen Canada
Jörg Raczkowsky Germany
Michael R. Bax United States
Philippe Zanne France
Lüder A. Kahrs Germany
Florent Nageotte France
David P. Noonan United Kingdom
Werner Trobin Austria
Cristian A. Linte United States
Andrew D. Wiles Canada
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Citations per field
00.5×3.9×
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Citations per year

Countries citing papers authored by Rogério Richa

Since Specialization
Citations

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

Fields of papers citing papers by Rogério Richa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200965
2 201056
3 201145
4 201244
5 201243
6 201237
7 201037
8 201023
9 200822
10 200821
11 201120
12 201418
13 201215
14 20089
15
Image Analysis And Pattern Recognition For Porosity Estimation From Thin Sections
20058
16 20167
17 20147
18 20116
19 20225
20 20113

About Rogério Richa

Rogério Richa is a scholar working on Computer Vision and Pattern Recognition, Surgery, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Aerospace Engineering, having authored 24 papers that have together received 498 indexed citations. Recurring topics across this work include Surgical Simulation and Training (10 papers), Soft Robotics and Applications (9 papers), Advanced Vision and Imaging (7 papers), Robotics and Sensor-Based Localization (7 papers), Retinal Imaging and Analysis (6 papers), Gaze Tracking and Assistive Technology (5 papers), Medical Image Segmentation Techniques (3 papers) and Augmented Reality Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (262 citations), Aerospace Engineering (141 citations), Biomedical Engineering (201 citations), Radiology, Nuclear Medicine and Imaging (93 citations) and Ophthalmology (31 citations). Rogério Richa has collaborated with scholars based in France, United States and Brazil. Frequent co-authors include Philippe Poignet, Antônio Padilha Lanari Bó, Gregory D. Hager, Russell H. Taylor, Raphael Sznitman, Chao Liu, Bruno Jedynak, Marcin Balicki, Pascal Fua and Balázs Vágvölgyi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Medical Image Analysis, IEEE Transactions on Biomedical Engineering, International Journal of Computer Assisted Radiology and Surgery and IEEE Transactions on Medical Imaging.

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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