Germano C. Vasconcelos

928 total citations
48 papers, 638 citations indexed

About

Germano C. Vasconcelos is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Germano C. Vasconcelos has authored 48 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 12 papers in Management Science and Operations Research. Recurrent topics in Germano C. Vasconcelos's work include Neural Networks and Applications (21 papers), Stock Market Forecasting Methods (11 papers) and Vehicle Routing Optimization Methods (6 papers). Germano C. Vasconcelos is often cited by papers focused on Neural Networks and Applications (21 papers), Stock Market Forecasting Methods (11 papers) and Vehicle Routing Optimization Methods (6 papers). Germano C. Vasconcelos collaborates with scholars based in Brazil, United Kingdom and Canada. Germano C. Vasconcelos's co-authors include Paulo J. L. Adeodato, Tiago A. E. Ferreira, Carlos Ferraz, Eduardo Souto, Nelson Souto Rosa, Romero Morais, Judith Kelner, M.C. Fairhurst, D.L. Bisset and Fidel A. Guerrero Peña and has published in prestigious journals such as Neurocomputing, Neural Networks and Pattern Recognition Letters.

In The Last Decade

Germano C. Vasconcelos

44 papers receiving 586 citations

Peers

Countries citing papers authored by Germano C. Vasconcelos

Since Specialization

Citations

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

Fields of papers citing papers by Germano C. Vasconcelos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Germano C. Vasconcelos. 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 Germano C. Vasconcelos. The network helps show where Germano C. Vasconcelos may publish in the future.

Co-authorship network of co-authors of Germano C. Vasconcelos

This figure shows the co-authorship network connecting the top 25 collaborators of Germano C. Vasconcelos. A scholar is included among the top collaborators of Germano C. Vasconcelos 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 Germano C. Vasconcelos. Germano C. Vasconcelos 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

#	Work	Indexed citations
1	Screening hardware and volume factors in distributed machine learning algorithms on spark 2021 ·Computing ·(unknown), Germano C. Vasconcelos, Paulo Romero Martins Maciel	4
2	A perturbative approach for enhancing the performance of time series forecasting 2017 ·Neural Networks ·Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira, Aranildo R. Lima, Germano C. Vasconcelos, George D. C. Cavalcanti	14
3	Cuckoo search optimization for short term wind energy forecasting 2016 ·(unknown), Germano C. Vasconcelos	3
4	A Neural Network Based Solution for the Credit Risk Assessment Problem 2016 ·Germano C. Vasconcelos, Paulo J. L. Adeodato, (unknown)	4
5	Pupil segmentation using Pulling & Pushing and BSOM neural network 2012 ·(unknown), Tsang Ing Ren, Germano C. Vasconcelos, George D. C. Cavalcanti	3
6	BSOM network for pupil segmentation 2011 ·Germano C. Vasconcelos, (unknown), Tsang Ing Ren, George D. C. Cavalcanti	4
7	The role of temporal feature extraction and bagging of MLP neural networks for solving the WCCI 2008 Ford Classification Challenge 2009 ·Paulo J. L. Adeodato, (unknown), Germano C. Vasconcelos, (unknown), (unknown), (unknown)	5
8	An evolutionary Morphological-Rank-Linear approach for time series prediction 2007 ·(unknown), Germano C. Vasconcelos, Tiago A. E. Ferreira	7
9	A Robust Method for the VRPTW with Multi-Start Simulated Annealing and Statistical Analysis 2007 ·(unknown), Germano C. Vasconcelos, G.B. Alvarenga, (unknown), (unknown)	10
10	Parametrical Adjusting of a Hybrid System for the Vehicle Routing Problem with Time Windows 2006 ·(unknown), Germano C. Vasconcelos, (unknown), (unknown)	2
11	A Multi-Start Simulated Annealing Algorithm for the Vehicle Routing Problem with Time Windows 2006 ·(unknown), Germano C. Vasconcelos, G.B. Alvarenga	8
12	Mires: a publish/subscribe middleware for sensor networks 2005 ·Personal and Ubiquitous Computing ·Eduardo Souto, (unknown), Germano C. Vasconcelos, (unknown), Nelson Souto Rosa, Carlos Ferraz, Judith Kelner	117
13	A new evolutionary method for time series forecasting 2005 ·Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato	14
14	A message-oriented middleware for sensor networks 2004 ·Eduardo Souto, (unknown), Germano C. Vasconcelos, (unknown), Nelson Souto Rosa, Carlos Ferraz	99
15	Off-line signature verification using an auto-associator cascade-correlation architecture 2003 ·(unknown), Germano C. Vasconcelos	5
16	Feedforward neural networks based on PPS-wavelet activation functions 2002 ·Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista) ·(unknown), (unknown), Germano C. Vasconcelos	1
17	An Experimental Evaluation of the Cascade-Correlation Network in Pattern Recognition Problems. 1997 ·International Conference on Neural Information Processing ·Germano C. Vasconcelos, (unknown)	1
18	Investigating feedforward neural networks with respect to the rejection of spurious patterns 1995 ·Pattern Recognition Letters ·Germano C. Vasconcelos, M.C. Fairhurst, D.L. Bisset	28
19	Enhanced reliability of multilayer perceptron networks through controlled pattern rejection 1993 ·Electronics Letters ·Germano C. Vasconcelos, M.C. Fairhurst, D.L. Bisset	7
20	Error recovery behaviour of feedback RAM-networks 1991 ·Germano C. Vasconcelos, (unknown)	0

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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