Jorge Caiado

1.4k citations
33 papers · 919 indexed · h-index 14
Topics
Complex Systems and Time Series Analysis (16 papers)Time Series Analysis and Forecasting (11 papers)Financial Risk and Volatility Modeling (10 papers)
Partner nations
PortugalSpainMozambique

In The Last Decade

Jorge Caiado

28 papers receiving 875 citations

Peers

Jorge Caiado
Comparison fields: 5 of 110
  • Economics and Econometrics 400
  • Signal Processing 256
  • Finance 124
  • Artificial Intelligence 119
  • Strategy and Management 106
Replace Jin‐Xing Hao with:
Jin‐Xing Hao China
Francisco Guijarro Spain
Sheng-Hsun Hsu Taiwan
Phillip E. Pfeifer United States
Peter Sarlin Finland
Antti Kanto Finland
M. Thenmozhi India
Zhen Zhu China
Linda Ponta Italy
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Jorge Caiado relative to Jin‐Xing Hao China Jin‐Xing Hao's profile →
Citations per field
00.5×8.3×
Jin‐Xing Hao · 1×
Citations per year

Countries citing papers authored by Jorge Caiado

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Caiado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Caiado. 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 Jorge Caiado. The network helps show where Jorge Caiado may publish in the future.

Co-authorship network of co-authors of Jorge Caiado

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Caiado. A scholar is included among the top collaborators of Jorge Caiado 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 Jorge Caiado. Jorge Caiado 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 0
3 0
4 5
5 1
6 4
7 34
8 15
9 11
10 0
11 41
12 4
13 26
14 53
15
Comparison of time series with unequal length
4
16
Forecasting water consumption in Spain using univariate time series models
10
17 9
18
An interpolated periodogram-based metric for comparison of time series with unequal lengths
0
19
Discrimination between deterministic trend and stochastic trend processes
2
20
Modelling and forecasting the volatility of the portuguese stock index PSI-20
4

About Jorge Caiado

Jorge Caiado is a scholar working on Finance, Signal Processing and Economics and Econometrics, having authored 33 papers that have together received 919 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (16 papers), Time Series Analysis and Forecasting (11 papers) and Financial Risk and Volatility Modeling (10 papers). The work is most often cited by research in Signal Processing (256 citations), Economics and Econometrics (400 citations) and Finance (124 citations). Jorge Caiado has collaborated with scholars based in Portugal, Spain and Mozambique. Frequent co-authors include Nuno Crato, Daniel Peña, J. Augusto Felício, Eduardo Couto, João A. Bastos, Elizabeth Ann Maharaj, Pierpaolo D’Urso, Pedro Verga Matos, Rita Coelho do Vale and María Rosa Borges. Their work appears in journals such as SHILAP Revista de lepidopterología, Physica A Statistical Mechanics and its Applications and Journal of Retailing and Consumer Services.

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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