Valmir C. Barbosa
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications 30
- Mass Spectrometry Techniques and Applications 22
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies 14
- Nuclear and High Energy Physics top 10%
-
- Distributed systems and fault tolerance 13
- Interconnection Networks and Systems 12
-
- Parallel Computing and Optimization Techniques 14
-
- Complex Network Analysis Techniques 10
-
- Neural Networks and Applications 9
- Co-authors
- Paulo C. CarvalhoJohn R. YatesJuliana S. G. FischerR. DonangeloDiogo Borges LimaTao XuDaniel CociorvaFelipe da Veiga Leprevost
- Partner nations
- BrazilUnited StatesUruguay
In The Last Decade
Valmir C. Barbosa
107 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 154
- Spectroscopy 558
- Molecular Biology 930
- Nuclear and High Energy Physics 131
- Computer Networks and Communications 142
- Virology 27
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
The 25 scholars most cited alongside Valmir C. Barbosa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2021 | 1 | |
| 5 | 2019 | 13 | |
| 6 | 2019 | 1 | |
| 7 | Information integration in elementary cellular automata | 2015 | 2 |
| 8 | 2014 | 39 | |
| 9 | 2011 | 3 | |
| 10 | 2010 | 19 | |
| 11 | 2010 | 16 | |
| 12 | 2010 | 11 | |
| 13 | 2009 | 27 | |
| 14 | Maturadores químicos na cana-de-açúcar (Saccharum spp) aplicados em final de safra | 2007 | 5 |
| 15 | 2004 | 3 | |
| 16 | 1998 | 1 | |
| 17 | 1994 | 8 | |
| 18 | 1993 | 13 | |
| 19 | Massively parallel models of computation: distributed parallel processing in artificial intelligence and optimisation | 1993 | 3 |
| 20 | Experiments in Parallel Heuristic Search. | 1991 | 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), Metabolomics and Mass Spectrometry Studies (14 papers), Parallel Computing and Optimization Techniques (14 papers), Distributed systems and fault tolerance (13 papers), Interconnection Networks and Systems (12 papers), Complex Network Analysis Techniques (10 papers) and Neural Networks and Applications (9 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.