Cláudio R. Jung
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 5%
- Media Technology top 1%
- Ocean Engineering top 2%
- Automotive Engineering top 5%
- Co-authors
- Soraia Raupp MusseJulio C. S. JacquesThiago L. T. da SilveiraC.R. KelberBowon LeeMarcelo WalterAdriana BraunRafael Scorsatto Ortiz
- Topics
- Advanced Vision and Imaging (34 papers)Video Surveillance and Tracking Methods (22 papers)Robotics and Sensor-Based Localization (13 papers)
- Partner nations
- BrazilUnited StatesSlovakia
In The Last Decade
Cláudio R. Jung
90 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 1.3k
- Artificial Intelligence 431
- Media Technology 424
- Ocean Engineering 264
- Automotive Engineering 201
Countries citing papers authored by Cláudio R. Jung
This map shows the geographic impact of Cláudio R. Jung'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 Cláudio R. Jung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cláudio R. Jung more than expected).
Fields of papers citing papers by Cláudio R. Jung
This network shows the impact of papers produced by Cláudio R. Jung. 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 Cláudio R. Jung. The network helps show where Cláudio R. Jung may publish in the future.
Co-authorship network of co-authors of Cláudio R. Jung
This figure shows the co-authorship network connecting the top 25 collaborators of Cláudio R. Jung. A scholar is included among the top collaborators of Cláudio R. Jung 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 Cláudio R. Jung. Cláudio R. Jung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 16 | |
| 9 | 15 | |
| 10 | 148 | |
| 11 | 1 | |
| 12 | 22 | |
| 13 | 14 | |
| 14 | 38 | |
| 15 | 38 | |
| 16 | 2 | |
| 17 | 256 | |
| 18 | 7 | |
| 19 | 51 | |
| 20 | 90 |
About Cláudio R. Jung
Cláudio R. Jung is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 95 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (34 papers), Video Surveillance and Tracking Methods (22 papers) and Robotics and Sensor-Based Localization (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Media Technology (424 citations) and Signal Processing (184 citations). Cláudio R. Jung has collaborated with scholars based in Brazil, United States and Slovakia. Frequent co-authors include Soraia Raupp Musse, Julio C. S. Jacques, Thiago L. T. da Silveira, C.R. Kelber, Bowon Lee, Marcelo Walter, Adriana Braun, Rafael Scorsatto Ortiz, Renata Pereira Limberger and Paulo Mayorga. Their work appears in journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Access.
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.