Valmir C. Barbosa

2.6k total citations
124 papers, 1.8k citations indexed

About

Valmir C. Barbosa is a scholar working on Molecular Biology, Computer Networks and Communications and Spectroscopy. According to data from OpenAlex, Valmir C. Barbosa has authored 124 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 33 papers in Computer Networks and Communications and 32 papers in Spectroscopy. Recurrent topics in Valmir C. Barbosa's work include Advanced Proteomics Techniques and Applications (30 papers), Mass Spectrometry Techniques and Applications (22 papers) and Metabolomics and Mass Spectrometry Studies (14 papers). Valmir C. Barbosa is often cited by papers focused on Advanced Proteomics Techniques and Applications (30 papers), Mass Spectrometry Techniques and Applications (22 papers) and Metabolomics and Mass Spectrometry Studies (14 papers). Valmir C. Barbosa collaborates with scholars based in Brazil, United States and Uruguay. Valmir C. Barbosa's 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 and has published in prestigious journals such as Bioinformatics, PLoS ONE and Analytical Chemistry.

In The Last Decade

Valmir C. Barbosa

107 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Valmir C. Barbosa Brazil 21 930 558 148 142 131 124 1.8k
Jon M. Sorenson United States 19 773 0.8× 194 0.3× 122 0.8× 81 0.6× 34 0.3× 24 2.1k
Rephael Wenger United States 20 1.1k 1.2× 350 0.6× 66 0.4× 84 0.6× 71 0.5× 64 2.3k
K. Venkatesan India 16 1.0k 1.1× 171 0.3× 93 0.6× 70 0.5× 19 0.1× 50 1.9k
Andrei T. Alexandrescu United States 33 2.1k 2.3× 371 0.7× 238 1.6× 123 0.9× 58 0.4× 93 3.2k
Christophe Blanchet France 18 1.9k 2.0× 144 0.3× 349 2.4× 84 0.6× 43 0.3× 36 2.9k
Daniel Cociorva United States 20 1.7k 1.8× 1.2k 2.1× 95 0.6× 156 1.1× 9 0.1× 32 2.6k
Dong Xu China 26 2.4k 2.6× 329 0.6× 106 0.7× 327 2.3× 13 0.1× 89 3.8k
Haribabu Arthanari United States 33 2.8k 3.1× 627 1.1× 144 1.0× 18 0.1× 392 3.0× 117 4.2k
Jesús A. Izaguirre United States 25 1.4k 1.5× 168 0.3× 63 0.4× 149 1.0× 14 0.1× 51 2.4k
David J. Hardy United States 17 843 0.9× 172 0.3× 27 0.2× 191 1.3× 31 0.2× 30 1.8k

Countries citing papers authored by Valmir C. Barbosa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Rezende, José Ferreira de, et al.. (2025). Near‐Optimal Pilot Assignment in Cell‐Free Massive MIMO. Internet Technology Letters. 8(6).
2.
Kaelin, Bruno, et al.. (2024). Faster determination of an initial velocity model for full-waveform inversion based on simulated annealing. Geophysics. 89(3). R187–R198. 1 indexed citations
3.
Santos, Marlon Dias Mariano, Diogo Borges Lima, T.A.C.B. Souza, et al.. (2023). DiagnoMass: A proteomics hub for pinpointing discriminative spectral clusters. Journal of Proteomics. 277. 104853–104853. 3 indexed citations
4.
Barbosa, Valmir C., et al.. (2021). Interspecies evolutionary dynamics mediated by public goods in bacterial quorum sensing. Physical review. E. 103(1). 12403–12403. 1 indexed citations
5.
Santos, Marlon Dias Mariano, Fábio C. Gozzo, Michel Batista, et al.. (2020). Mixed-Data Acquisition: Next-Generation Quantitative Proteomics Data Acquisition. Journal of Proteomics. 222. 103803–103803. 9 indexed citations
6.
Barbosa, Valmir C., et al.. (2015). Information integration in elementary cellular automata. 10. 235–260. 2 indexed citations
7.
Lima, Diogo Borges, Diogo Borges Lima, Tatiani B. Lima, et al.. (2015). Using SIM-XL to identify and annotate cross-linked peptides analyzed by mass spectrometry. Protocol Exchange. 4 indexed citations
8.
Leprevost, Felipe da Veiga, et al.. (2014). On best practices in the development of bioinformatics software. Frontiers in Genetics. 5. 199–199. 39 indexed citations
9.
Fischer, Juliana de Saldanha da Gama, Lujian Liao, Paulo C. Carvalho, et al.. (2010). Dynamic proteomic overview of glioblastoma cells (A172) exposed to perillyl alcohol. Journal of Proteomics. 73(5). 1018–1027. 19 indexed citations
10.
Carvalho, Paulo C., Juliana S. G. Fischer, Emily I. Chen, et al.. (2009). GO Explorer: A gene-ontology tool to aid in the interpretation of shotgun proteomics data. Proteome Science. 7(1). 6–6. 27 indexed citations
11.
Viana, Ronaldo da Silva, et al.. (2007). Maturadores químicos na cana-de-açúcar (Saccharum spp) aplicados em final de safra. Redalyc (Universidad Autónoma del Estado de México). 7(2). 5 indexed citations
12.
Barbosa, Valmir C., R. Donangelo, & S. R. Souza. (2007). Emergence of scale-free behavior in networks from limited-horizon linking and cost trade-offs. Physica A Statistical Mechanics and its Applications. 387(4). 1016–1024. 1 indexed citations
13.
Stauffer, Alexandre & Valmir C. Barbosa. (2006). Dissemination strategy for immunizing scale-free networks. Physical Review E. 74(5). 56105–56105. 11 indexed citations
14.
Aguilar, Eduardo J., et al.. (2004). A graph model for the evolution of specificity in humoral immunity. Journal of Theoretical Biology. 229(3). 311–325. 3 indexed citations
15.
Zaverucha, Gerson, et al.. (1998). A Penalty-Function Approach to Rule Extraction from Knowledge-Based Neural Networks. International Conference on Neural Information Processing. 27(6). 1497–1500. 1 indexed citations
16.
Barbosa, Valmir C., et al.. (1998). Learning in the combinatorial neural model. IEEE Transactions on Neural Networks. 9(5). 831–847. 4 indexed citations
17.
Barbosa, Valmir C., et al.. (1994). From distributed algorithms to OCCAM programs by successive refinements. Journal of Systems and Software. 26(3). 257–272.
18.
Barbosa, Valmir C., et al.. (1993). A Bayesian‐Network Approach to Lexical Disambiguation. Cognitive Science. 17(2). 257–283. 13 indexed citations
19.
Barbosa, Valmir C.. (1993). Massively parallel models of computation: distributed parallel processing in artificial intelligence and optimisation. Ellis Horwood eBooks. 3 indexed citations
20.
Barbosa, Valmir C., et al.. (1991). Experiments in Parallel Heuristic Search.. Proceedings of the International Conference on Parallel Processing. 62–65.

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.

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