Murillo G. Carneiro
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition
- Biophysics top 10%
- Co-authors
- Liang ZhaoYaochu JinRan ChengGina M. B. OliveiraLuíz Ricardo GoulartRobinson Sabino‐SilvaThúlio Marquez CunhaDouglas Carvalho Caixeta
- Topics
- Complex Network Analysis Techniques (11 papers)Neural Networks and Applications (8 papers)Spectroscopy Techniques in Biomedical and Chemical Research (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Molecular Sciences
- Partner nations
- BrazilChinaUnited Kingdom
In The Last Decade
Murillo G. Carneiro
42 papers receiving 244 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 95
- Statistical and Nonlinear Physics 52
- Molecular Biology 50
- Computer Vision and Pattern Recognition 34
- Biophysics 27
Countries citing papers authored by Murillo G. Carneiro
This map shows the geographic impact of Murillo G. Carneiro'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 Murillo G. Carneiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murillo G. Carneiro more than expected).
Fields of papers citing papers by Murillo G. Carneiro
This network shows the impact of papers produced by Murillo G. Carneiro. 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 Murillo G. Carneiro. The network helps show where Murillo G. Carneiro may publish in the future.
Co-authorship network of co-authors of Murillo G. Carneiro
This figure shows the co-authorship network connecting the top 25 collaborators of Murillo G. Carneiro. A scholar is included among the top collaborators of Murillo G. Carneiro 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 Murillo G. Carneiro. Murillo G. Carneiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 18 | |
| 10 | 0 | |
| 11 | 10 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 34 | |
| 15 | 2 | |
| 16 | 6 | |
| 17 | 9 | |
| 18 | 10 | |
| 19 | 6 | |
| 20 | 4 |
About Murillo G. Carneiro
Murillo G. Carneiro is a scholar working on Biophysics, Statistical and Nonlinear Physics and Computer Science Applications, having authored 50 papers that have together received 245 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (11 papers), Neural Networks and Applications (8 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (6 papers). The work is most often cited by research in Biophysics (27 citations), Statistical and Nonlinear Physics (52 citations) and Artificial Intelligence (95 citations). Murillo G. Carneiro has collaborated with scholars based in Brazil, China and United Kingdom. Frequent co-authors include Liang Zhao, Yaochu Jin, Ran Cheng, Gina M. B. Oliveira, Luíz Ricardo Goulart, Robinson Sabino‐Silva, Thúlio Marquez Cunha, Douglas Carvalho Caixeta, Junbao Zhang and Vitor Guizilini. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular 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.