Carlos E. Pedreira

5.9k total citations · 2 hit papers
100 papers, 3.8k citations indexed

About

Carlos E. Pedreira is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Carlos E. Pedreira has authored 100 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 17 papers in Molecular Biology and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Carlos E. Pedreira's work include Neural Networks and Applications (15 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Lymphoma Diagnosis and Treatment (10 papers). Carlos E. Pedreira is often cited by papers focused on Neural Networks and Applications (15 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Lymphoma Diagnosis and Treatment (10 papers). Carlos E. Pedreira collaborates with scholars based in Brazil, Spain and Netherlands. Carlos E. Pedreira's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Carlos E. Pedreira

92 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Neural networks for short-term load forecasting: a review and evaluation

2001 1.7k citations Henrique S. Hippert, Carlos E. Pedreira et al. profile →
Recent advances in decision trees: an updated survey

2022 264 citations Carlos E. Pedreira et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carlos E. Pedreira Brazil	27	1.8k	822	693	545	402	100	3.8k
Gang Pan China	42	1.5k 0.8×	1.0k 1.3×	81 0.1×	1.3k 2.3×	1.4k 3.5×	359	6.7k
Kevin Lee United States	40	1.3k 0.7×	845 1.0×	102 0.1×	128 0.2×	420 1.0×	310	5.8k
Hongzhi Wang China	35	289 0.2×	1.5k 1.8×	247 0.4×	665 1.2×	1.4k 3.6×	431	6.3k
Sen Wang China	35	678 0.4×	1.2k 1.5×	177 0.3×	418 0.8×	1.1k 2.6×	236	4.7k
Ralf Mikut Germany	35	514 0.3×	561 0.7×	126 0.2×	154 0.3×	276 0.7×	278	4.0k
Thanh Thi Nguyen Australia	31	518 0.3×	1.5k 1.8×	234 0.3×	365 0.7×	741 1.8×	131	4.9k
Dan Chen China	36	217 0.1×	425 0.5×	106 0.2×	609 1.1×	347 0.9×	236	4.6k
Enrico Macii Italy	40	4.3k 2.4×	1.1k 1.3×	86 0.1×	119 0.2×	545 1.4×	556	7.2k
Kuan Zhang China	47	2.2k 1.3×	2.5k 3.0×	96 0.1×	85 0.2×	539 1.3×	292	8.1k
Xiaoou Li Mexico	30	454 0.3×	1.1k 1.4×	216 0.3×	243 0.4×	319 0.8×	242	3.5k

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

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20 of 20 papers shown

Pérez‐Aracil, Jorge, et al.. (2024). TensorCRO: A TensorFlow‐based implementation of a multi‐method ensemble for optimization. Expert Systems. 41(12).

Salcedo‐Sanz, Sancho, et al.. (2023). Efficient evolution of decision trees via fully matrix-based fitness evaluation. Applied Soft Computing. 150. 111045–111045. 9 indexed citations

Jiménez‐Fernández, S., et al.. (2023). Solving an energy resource management problem with a novel multi-objective evolutionary reinforcement learning method. Knowledge-Based Systems. 280. 111027–111027. 13 indexed citations

Marcelino, Carolina G., et al.. (2023). Evaluating the risk of uncertainty in smart grids with electric vehicles using an evolutionary swarm-intelligent algorithm. Journal of Cleaner Production. 401. 136775–136775. 8 indexed citations

Matarraz, Sergio, Stefan Nierkens, Michaela Nováková, et al.. (2022). Immunophenotypic Analysis of Acute Megakaryoblastic Leukemia: A EuroFlow Study. Cancers. 14(6). 1583–1583. 12 indexed citations

Jara‐Acevedo, María, Ana Henriques, Andrés C. García‐Montero, et al.. (2022). Altered innate immune profile in blood of systemic mastocytosis patients. Clinical and Translational Allergy. 12(6). e12167–e12167. 5 indexed citations

Hickman, Lydia, et al.. (2021). Low‐beta repetitive transcranial magnetic stimulation to human dorsolateral prefrontal cortex during object recognition memory sample presentation, at a task‐related frequency observed in local field potentials in homologous macaque cortex, impairs subsequent recollection but not familiarity. European Journal of Neuroscience. 54(11). 7918–7945. 4 indexed citations

Böttcher, Sebastian, Robby Engelmann, Georgiana Grigore, et al.. (2021). Expert-independent classification of mature B-cell neoplasms using standardized flow cytometry: a multicentric study. Blood Advances. 6(3). 976–992. 14 indexed citations

Pedreira, Carlos E., et al.. (2019). A decision-tree approach for the differential diagnosis of chronic lymphoid leukemias and peripheral B-cell lymphomas. Computer Methods and Programs in Biomedicine. 178. 85–90. 28 indexed citations

10.

Marcelino, Carolina G., et al.. (2018). Applying C-DEEPSO to Solve Large Scale Global Optimization Problems. 10 indexed citations

11.

Souza, Reinaldo Castro, et al.. (2016). Um Modelo H�brido para Previs�o de Curto Prazo da Demanda de Gasolina Automotiva no Brasil. 403–407. 1 indexed citations

12.

Pedreira, Carlos E., et al.. (2016). Impact of maternal education level on risk of low Apgar score. Public Health. 140. 244–249. 10 indexed citations

13.

Aranha, Claus, et al.. (2013). Optimized bi-dimensional data projection for clustering visualization. Information Sciences. 232. 104–115. 4 indexed citations

14.

Bernardes, Juliana & Carlos E. Pedreira. (2013). A Review of Protein Function Prediction Under Machine Learning Perspective. Recent Patents on Biotechnology. 7(2). 122–141. 38 indexed citations

15.

Costa, Elaine Sobral da, Júlia Almeida, Quentin Lécrevisse, et al.. (2009). Harmonization of light scatter and fluorescence flow cytometry profiles obtained after staining peripheral blood leucocytes for cell surface‐only versus intracellular antigens with the Fix & Perm™ reagent. Cytometry Part B Clinical Cytometry. 78B(1). 11–20. 8 indexed citations

16.

Pedreira, Carlos E., et al.. (2008). A Multidimensional Classification Approach for the Automated Analysis of Flow Cytometry Data. IEEE Transactions on Biomedical Engineering. 55(3). 1155–1162. 25 indexed citations

17.

Caffarena, Gabriel, et al.. (2007). FPGA ACCELERATION FOR DNA SEQUENCE ALIGNMENT. Journal of Circuits Systems and Computers. 16(2). 245–266. 18 indexed citations

18.

Suárez‐Fariñas, Mayte & Carlos E. Pedreira. (2003). Mixture of Experts and Local-Global Neural Networks. The European Symposium on Artificial Neural Networks. 331–336. 1 indexed citations

19.

Hippert, Henrique S., Carlos E. Pedreira, & Reinaldo Castro Souza. (2000). Combining neural networks and ARIMA models for hourly temperature forecast. 414–419 vol.4. 45 indexed citations

20.

Перейра, Фернандо Лобо, Carlos E. Pedreira, & Jacquelyn Sousa. (1995). A new optimization based approach to experimental combination chemotherapy.. PubMed. 6(4). 257–68. 6 indexed citations

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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