Carlos E. Pedreira

5.9k citations
100 papers · 3.8k indexed · 2 hit papers · h-index 27
Topics
Neural Networks and Applications (15 papers)Chronic Lymphocytic Leukemia Research (10 papers)Lymphoma Diagnosis and Treatment (10 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationPLoS ONE
Partner nations
BrazilSpainNetherlands

In The Last Decade

Carlos E. Pedreira

92 papers receiving 3.6k citations

Hit Papers

Neural networks for short-term load forecasting: a review...20012026200920172001202250010001.5k

Peers

Carlos E. Pedreira
Comparison fields: 5 of 179
  • Electrical and Electronic Engineering 1.8k
  • Artificial Intelligence 822
  • Management Science and Operations Research 693
  • Cognitive Neuroscience 545
  • Computer Vision and Pattern Recognition 402
Replace Hongzhi Wang with:
Hongzhi Wang China
Thanh Thi Nguyen Australia
Sen Wang China
Ralf Mikut Germany
Kevin Lee United States
Dan Chen China
Sadiq Hussain India
Liam Maguire United Kingdom
Yanfeng Wang China
José M. Alonso Spain
Carlos E. Pedreira relative to Hongzhi Wang China Hongzhi Wang's profile →
Citations per field
00.5×6.1×
Hongzhi Wang · 1×
Citations per year

Countries citing papers authored by Carlos E. Pedreira

Since Specialization
Citations

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

Fields of papers citing papers by Carlos E. Pedreira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos E. Pedreira. 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 Carlos E. Pedreira. The network helps show where Carlos E. Pedreira may publish in the future.

Co-authorship network of co-authors of Carlos E. Pedreira

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos E. Pedreira. A scholar is included among the top collaborators of Carlos E. Pedreira 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 Carlos E. Pedreira. Carlos E. Pedreira 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 3
3 9
4 13
5 8
6 12
7 9
8 4
9 14
10 28
11 30
12 22
13 10
14 35
15 31
16 8
17 42
18
Mixture of Experts and Local-Global Neural Networks
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19 33
20 45

About Carlos E. Pedreira

Carlos E. Pedreira is a scholar working on Modeling and Simulation, Artificial Intelligence and Genetics, having authored 100 papers that have together received 3.8k indexed citations. Recurring topics across this work include Neural Networks and Applications (15 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Lymphoma Diagnosis and Treatment (10 papers). The work is most often cited by research in Management Science and Operations Research (693 citations), Electrical and Electronic Engineering (1.8k citations) and Cognitive Neuroscience (545 citations). Carlos E. Pedreira has collaborated with scholars based in Brazil, Spain and Netherlands. Frequent co-authors include Henrique S. Hippert, Reinaldo Castro Souza, Rodrigo Quian Quiroga, Hernán G. Rey, Elaine Sobral da Costa, Alberto Órfão, Matias J. Ison, Jacques J. M. van Dongen, Juan Pablo Martí­nez and Quentin Lécrevisse. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

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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