Valmir C. Barbosa
- Molecular Biology top 10%
- Spectroscopy top 2%
- Genetics
- Computer Networks and Communications top 10%
- Nuclear and High Energy Physics top 10%
- Co-authors
- Paulo C. CarvalhoJohn R. YatesJuliana S. G. FischerR. DonangeloDiogo Borges LimaTao XuDaniel CociorvaFelipe da Veiga Leprevost
- Topics
- Advanced Proteomics Techniques and Applications (30 papers)Mass Spectrometry Techniques and Applications (22 papers)Metabolomics and Mass Spectrometry Studies (14 papers)
- Partner nations
- BrazilUnited StatesUruguay
In The Last Decade
Valmir C. Barbosa
107 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 154
- Molecular Biology 930
- Spectroscopy 558
- Genetics 148
- Computer Networks and Communications 142
- Nuclear and High Energy Physics 131
Countries citing papers authored by Valmir C. Barbosa
This map shows the geographic impact of Valmir C. Barbosa'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 Valmir C. Barbosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valmir C. Barbosa more than expected).
Fields of papers citing papers by Valmir C. Barbosa
This network shows the impact of papers produced by Valmir C. Barbosa. 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 Valmir C. Barbosa. The network helps show where Valmir C. Barbosa may publish in the future.
Co-authorship network of co-authors of Valmir C. Barbosa
This figure shows the co-authorship network connecting the top 25 collaborators of Valmir C. Barbosa. A scholar is included among the top collaborators of Valmir C. Barbosa 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 Valmir C. Barbosa. Valmir C. Barbosa 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 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | Information integration in elementary cellular automata | 2 |
| 8 | 39 | |
| 9 | 3 | |
| 10 | 19 | |
| 11 | 16 | |
| 12 | 11 | |
| 13 | 27 | |
| 14 | Maturadores químicos na cana-de-açúcar (Saccharum spp) aplicados em final de safra | 5 |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 13 | |
| 19 | Massively parallel models of computation: distributed parallel processing in artificial intelligence and optimisation | 3 |
| 20 | Experiments in Parallel Heuristic Search. | 0 |
About Valmir C. Barbosa
Valmir C. Barbosa is a scholar working on Hardware and Architecture, Spectroscopy and Computer Networks and Communications, having authored 124 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (30 papers), Mass Spectrometry Techniques and Applications (22 papers) and Metabolomics and Mass Spectrometry Studies (14 papers). The work is most often cited by research in Spectroscopy (558 citations), Molecular Biology (930 citations) and Nuclear and High Energy Physics (131 citations). Valmir C. Barbosa has collaborated with scholars based in Brazil, United States and Uruguay. Frequent co-authors include Paulo C. Carvalho, John R. Yates, Juliana S. G. Fischer, R. Donangelo, Diogo Borges Lima, Tao Xu, Daniel Cociorva, Felipe da Veiga Leprevost, C.E. Aguiar and Marlon Dias Mariano Santos. Their work appears in journals such as Bioinformatics, PLoS ONE and Analytical Chemistry.
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.