Marcelo Rudek
- Computer Vision and Pattern Recognition top 10%
- Strategy and Management
- Marketing
- Media Technology
- Industrial and Manufacturing Engineering
- Co-authors
- Osíris CanciglieriLeandro dos Santos CoelhoLia Buarque de Macedo GuimarãesAnderson Luis SzejkaAndréas JahnenJean‐Paul SteinmetzTeófilo Miguel de SouzaMiroslav Trajanović
- Topics
- Medical Image Segmentation Techniques (4 papers)Image Processing and 3D Reconstruction (3 papers)Medical Imaging and Analysis (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionIEEE Transactions on Image Processing
- Partner nations
- BrazilPuerto RicoUnited States
In The Last Decade
Marcelo Rudek
19 papers receiving 175 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 62
- Strategy and Management 46
- Marketing 33
- Media Technology 23
- Industrial and Manufacturing Engineering 23
Countries citing papers authored by Marcelo Rudek
This map shows the geographic impact of Marcelo Rudek'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 Marcelo Rudek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcelo Rudek more than expected).
Fields of papers citing papers by Marcelo Rudek
This network shows the impact of papers produced by Marcelo Rudek. 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 Marcelo Rudek. The network helps show where Marcelo Rudek may publish in the future.
Co-authorship network of co-authors of Marcelo Rudek
This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo Rudek. A scholar is included among the top collaborators of Marcelo Rudek 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 Marcelo Rudek. Marcelo Rudek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 23 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 0 | |
| 9 | 41 | |
| 10 | 1 | |
| 11 | Development of a Specialized System for Goalball’s Game Tactical Analysis | 1 |
| 12 | Optimized CT Skull Slices Retrieval based on Cubic Bezier Curves Descriptors | 1 |
| 13 | AUTONOMOUS CT REPLACEMENT METHOD FOR THE SKULL PROSTHESIS MODELLING | 2 |
| 14 | A DATA-MINING BASED METHOD FOR THE GAIT PATTERN ANALYSIS | 2 |
| 15 | A Reasoning Geometric Modeling to Support Design for Dental Implant | 0 |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 68 | |
| 19 | 1 | |
| 20 | On the Dynamical Equivalence between Two Types of Vehicles with Rotors | 2 |
About Marcelo Rudek
Marcelo Rudek is a scholar working on Computer Vision and Pattern Recognition, Marketing and Oral Surgery, having authored 22 papers that have together received 182 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (4 papers), Image Processing and 3D Reconstruction (3 papers) and Medical Imaging and Analysis (3 papers). The work is most often cited by research in Marketing (33 citations), Strategy and Management (46 citations) and Computer Vision and Pattern Recognition (62 citations). Marcelo Rudek has collaborated with scholars based in Brazil, Puerto Rico and United States. Frequent co-authors include Osíris Canciglieri, Leandro dos Santos Coelho, Lia Buarque de Macedo Guimarães, Anderson Luis Szejka, Andréas Jahnen, Jean‐Paul Steinmetz, Teófilo Miguel de Souza, Miroslav Trajanović and Déborah Ribeiro Carvalho. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and IEEE Transactions on Image Processing.
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.