R. Nakamura
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Biomedical Engineering
- Media Technology top 5%
- Co-authors
- João Paulo PapaKelton Augusto Pontara da CostaXin‐She YangDouglas RodriguesLuís A. M. PereiraAndré Nunes de SouzaAlexandre X. FalcãoClayton R. Pereira
- Topics
- Electricity Theft Detection Techniques (10 papers)Water Systems and Optimization (5 papers)Artificial Immune Systems Applications (5 papers)
- Partner nations
- BrazilUnited KingdomCanada
In The Last Decade
R. Nakamura
21 papers receiving 786 citations
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 469
- Computer Vision and Pattern Recognition 146
- Computer Networks and Communications 121
- Biomedical Engineering 91
- Media Technology 90
Countries citing papers authored by R. Nakamura
This map shows the geographic impact of R. Nakamura'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 R. Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Nakamura more than expected).
Fields of papers citing papers by R. Nakamura
This network shows the impact of papers produced by R. Nakamura. 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 R. Nakamura. The network helps show where R. Nakamura may publish in the future.
Co-authorship network of co-authors of R. Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of R. Nakamura. A scholar is included among the top collaborators of R. Nakamura 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 R. Nakamura. R. Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 14 | |
| 3 | 2 | |
| 4 | 55 | |
| 5 | 17 | |
| 6 | 0 | |
| 7 | 313 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 33 | |
| 11 | 52 | |
| 12 | 0 | |
| 13 | 5 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | Automatic segmentation of the secondary austenite-phase island precipitates in a superduplex stainless steel weld metal | 2 |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 1 |
About R. Nakamura
R. Nakamura is a scholar working on Metals and Alloys, Artificial Intelligence and Civil and Structural Engineering, having authored 24 papers that have together received 826 indexed citations. Recurring topics across this work include Electricity Theft Detection Techniques (10 papers), Water Systems and Optimization (5 papers) and Artificial Immune Systems Applications (5 papers). The work is most often cited by research in Artificial Intelligence (469 citations), Media Technology (90 citations) and Computer Vision and Pattern Recognition (146 citations). R. Nakamura has collaborated with scholars based in Brazil, United Kingdom and Canada. Frequent co-authors include João Paulo Papa, Kelton Augusto Pontara da Costa, Xin‐She Yang, Douglas Rodrigues, Luís A. M. Pereira, André Nunes de Souza, Alexandre X. Falcão, Clayton R. Pereira, João Manuel R. S. Tavares and Victor Hugo C. de Albuquerque. Their work appears in journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.
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.