Marcelo Ricardo Stemmer
- Computer Vision and Pattern Recognition top 10%
- Industrial and Manufacturing Engineering top 10%
- Control and Systems Engineering
- Artificial Intelligence
- Media Technology top 10%
- Co-authors
- Maria Bernadete de Morais FrançaFrancisco VasquesAlessandro L. KoerichCarlos MontezAntônio Augusto FröhlichMax Mauro Dias SantosMilton PereiraJomi Fred Hübner
- Topics
- Industrial Vision Systems and Defect Detection (8 papers)Real-Time Systems Scheduling (6 papers)Image Processing Techniques and Applications (6 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Vision and Pattern RecognitionMedia Technology
- Journals
- SHILAP Revista de lepidopterologíaPattern RecognitionInformation Sciences
- Partner nations
- BrazilUnited StatesPortugal
In The Last Decade
Marcelo Ricardo Stemmer
33 papers receiving 239 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 106
- Industrial and Manufacturing Engineering 54
- Control and Systems Engineering 47
- Artificial Intelligence 40
- Media Technology 39
Countries citing papers authored by Marcelo Ricardo Stemmer
This map shows the geographic impact of Marcelo Ricardo Stemmer'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 Ricardo Stemmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcelo Ricardo Stemmer more than expected).
Fields of papers citing papers by Marcelo Ricardo Stemmer
This network shows the impact of papers produced by Marcelo Ricardo Stemmer. 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 Ricardo Stemmer. The network helps show where Marcelo Ricardo Stemmer may publish in the future.
Co-authorship network of co-authors of Marcelo Ricardo Stemmer
This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo Ricardo Stemmer. A scholar is included among the top collaborators of Marcelo Ricardo Stemmer 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 Ricardo Stemmer. Marcelo Ricardo Stemmer 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 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 25 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 0 | |
| 13 | 6 | |
| 14 | 9 | |
| 15 | 29 | |
| 16 | 12 | |
| 17 | 16 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 4 |
About Marcelo Ricardo Stemmer
Marcelo Ricardo Stemmer is a scholar working on Industrial and Manufacturing Engineering, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 251 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (8 papers), Real-Time Systems Scheduling (6 papers) and Image Processing Techniques and Applications (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (54 citations), Computer Vision and Pattern Recognition (106 citations) and Media Technology (39 citations). Marcelo Ricardo Stemmer has collaborated with scholars based in Brazil, United States and Portugal. Frequent co-authors include Maria Bernadete de Morais França, Francisco Vasques, Alessandro L. Koerich, Carlos Montez, Antônio Augusto Fröhlich, Max Mauro Dias Santos, Milton Pereira, Jomi Fred Hübner, Robert Schmitt and Tilo Pfeifer. Their work appears in journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Information Sciences.
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.