João Garcia

13 papers receiving 702 citations

Hit Papers

A GARCH Forecasting Model to Predict Day-Ahead Electricit...20052026201220192005100200300400500

Peers

João Garcia
Comparison fields: 5 of 68
  • Electrical and Electronic Engineering 503
  • Management Science and Operations Research 181
  • Economics and Econometrics 162
  • Finance 143
  • Artificial Intelligence 132
Replace Germán G. Creamer with:
Germán G. Creamer United States
Christoph Lohrmann Finland
Zhensong Chen China
Xiao Zhong United States
Gholamreza Mansourfar Iran
Erkam Güreşen Türkiye
Hsiao-Fen Hsiao China
Bruno Miranda Henrique Brazil
Mehmet Özçalıcı Türkiye
João Garcia relative to Germán G. Creamer United States Germán G. Creamer's profile →
Citations per field
00.5×3.5×
Germán G. Creamer · 1×
Citations per year

Countries citing papers authored by João Garcia

Since Specialization
Citations

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

Fields of papers citing papers by João Garcia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of João Garcia

This figure shows the co-authorship network connecting the top 25 collaborators of João Garcia. A scholar is included among the top collaborators of João Garcia 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 João Garcia. João Garcia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 4
2 19
3 13
4 20
5
Let s Jump Together: Pricing Credit Derivatives
4
6 5
7 6
8 2
9
A BINOMIAL TREE MODEL FOR INVESTMENT IN TRANSMISSION ASSETS
5
10 0
11 10
12
A GARCH Forecasting Model to Predict Day-Ahead Electricity Pricesbreakdown →
538
13 54
14
A support vector machine approach to credit scoring
79
15 3

About João Garcia

João Garcia is a scholar working on Finance, Accounting and Artificial Intelligence, having authored 15 papers that have together received 762 indexed citations. Recurring topics across this work include Credit Risk and Financial Regulations (9 papers), Banking stability, regulation, efficiency (7 papers) and Stochastic processes and financial applications (7 papers). The work is most often cited by research in Management Science and Operations Research (181 citations), Finance (143 citations) and Electrical and Electronic Engineering (503 citations). João Garcia has collaborated with scholars based in Belgium, United Kingdom and Germany. Frequent co-authors include Reinaldo C. Garcia, Javier Contreras, Tony Van Gestel, Bart Baesens, Johan A. K. Suykens, Damiano Brigo, Jan Vanthienen and Wim Schoutens. Their work appears in journals such as IEEE Transactions on Power Systems, Decision Support Systems and International Journal of Theoretical and Applied Finance.

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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