Valter de Senna

506 citations
28 papers · 341 indexed · h-index 9
Topics
Forecasting Techniques and Applications (3 papers)Statistical and numerical algorithms (2 papers)Context-Aware Activity Recognition Systems (2 papers)

In The Last Decade

Valter de Senna

25 papers receiving 313 citations

Peers

Valter de Senna
Comparison fields: 5 of 104
  • Emergency Medical Services 105
  • Economics and Econometrics 94
  • Management Science and Operations Research 59
  • Statistical and Nonlinear Physics 46
  • Emergency Medicine 42
Replace Kuang Xu with:
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Janet E. Williams United Kingdom
Dennis C. Dietz United States
Guodong Pang United States
Matthew D. Bailey United States
Jing Dong United States
Xiaopei Zhang China
Michele Samorani United States
Johan S. H. van Leeuwaarden Israel
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Citations per field
00.5×1.5×1.9×
Kuang Xu · 1×
Citations per year

Countries citing papers authored by Valter de Senna

Since Specialization
Citations

This map shows the geographic impact of Valter de Senna'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 Valter de Senna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valter de Senna more than expected).

Fields of papers citing papers by Valter de Senna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Valter de Senna. 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 Valter de Senna. The network helps show where Valter de Senna may publish in the future.

Co-authorship network of co-authors of Valter de Senna

This figure shows the co-authorship network connecting the top 25 collaborators of Valter de Senna. A scholar is included among the top collaborators of Valter de Senna 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 Valter de Senna. Valter de Senna 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
#WorkIndexed citations
1 0
2 4
3 1
4
Wireless Sensors Network for Elder Monitoring
1
5
Price Forecasting Through Multivariate Spectral Analysis: Evidence for Commodities of BM&Fbovespa
1
6 8
7
Análise Espectral Singular: Comparação de Previsões em Séries Temporais
3
8
REDUÇÃO DE CUSTOS NAS ORGANIZAÇÕES: COMPLEXIDADE E DINÂMICA DAS REDES LOGISTICAS
0
9 8
10 3
11 33
12
Análise de redes semânticas baseada em títulos de artigos* de periódicos científicos: o caso dos periódicos de divulgação em educação matemática
7
13 3
14 27
15 12
16 10
17 104
18 19
19 15
20 3

About Valter de Senna

Valter de Senna is a scholar working on Statistics and Probability, Management Science and Operations Research and Information Systems and Management, having authored 28 papers that have together received 341 indexed citations. Recurring topics across this work include Forecasting Techniques and Applications (3 papers), Statistical and numerical algorithms (2 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Emergency Medical Services (105 citations), Management Science and Operations Research (59 citations) and Emergency Medicine (42 citations). Valter de Senna has collaborated with scholars based in Brazil, United Kingdom and United States. Frequent co-authors include Paul Harper, A. K. Shahani, M. S. Nielsen, S. Ridley, Marcelo A. Moret, Hernane Borges de Barros Pereira, Russell Cheng, Gilney Figueira Zebende, Pablo Vaveliuk and K.M. Shelgikar. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research 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.

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