Armando Vieira

1.9k total citations · 1 hit paper
50 papers, 1.2k citations indexed

About

Armando Vieira is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Accounting. According to data from OpenAlex, Armando Vieira has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 15 papers in Atomic and Molecular Physics, and Optics and 13 papers in Accounting. Recurrent topics in Armando Vieira's work include Imbalanced Data Classification Techniques (14 papers), Financial Distress and Bankruptcy Prediction (13 papers) and Ion-surface interactions and analysis (8 papers). Armando Vieira is often cited by papers focused on Imbalanced Data Classification Techniques (14 papers), Financial Distress and Bankruptcy Prediction (13 papers) and Ion-surface interactions and analysis (8 papers). Armando Vieira collaborates with scholars based in Portugal, Belgium and South Africa. Armando Vieira's co-authors include Alex Zhavoronkov, Polina Mamoshina, Evgeny Putin, N.P. Barradas, João Carvalho das Neves, Bernardete Ribeiro, Ning Chen, António Gaspar‐Cunha, João Duarte and An Chen and has published in prestigious journals such as Physical review. B, Condensed matter, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Armando Vieira

50 papers receiving 1.1k citations

Hit Papers

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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.

Applications of Deep Learning in Biomedicine

2016 464 citations Polina Mamoshina, Armando Vieira et al. Molecular Pharmaceutics profile →

Peers

Countries citing papers authored by Armando Vieira

Since Specialization

Citations

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

Fields of papers citing papers by Armando Vieira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Armando Vieira

This figure shows the co-authorship network connecting the top 25 collaborators of Armando Vieira. A scholar is included among the top collaborators of Armando Vieira 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 Armando Vieira. Armando Vieira 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	Nuclide identification of radioactive sources from gamma spectra using artificial neural networks 2025 ·Radiation Physics and Chemistry ·N.P. Barradas, Armando Vieira, M. Felizardo, M. Mátos	1
2	Exploring orbital-charge conversion mediated by interfaces with CuOx through spin-orbital pumping 2024 ·Physical review. B. ·(unknown), (unknown), Armando Vieira, J. B. S. Mendes, R. L. Rodríguez‐Suárez, A. Azevedo	17
3	Artificial neural networks for NAA: proof of concept on data analysed with k0-based software 2022 ·Journal of Radioanalytical and Nuclear Chemistry ·N.P. Barradas, (unknown), Armando Vieira, M. Blaauw	4
4	Applications of Deep Learning in Biomedicine breakdown → 2016 ·Molecular Pharmaceutics ·Polina Mamoshina, Armando Vieira, Evgeny Putin, Alex Zhavoronkov	464
5	Extension of Learning Vector Quantization to Cost-sensitive Learning 2011 ·International Journal of Computer Theory and Engineering ·Ning Chen, Bernardete Ribeiro, Armando Vieira, João Duarte, João Carvalho das Neves	2
6	A genetic algorithm-based approach to cost-sensitive bankruptcy prediction 2011 ·Expert Systems with Applications ·Ning Chen, Bernardete Ribeiro, Armando Vieira, João Duarte, João Carvalho das Neves	49
7	Incorporate Cost Matrix into Learning Vector Quantization Modeling: a Comparative Study of Genetic Algorithm, Simulated Annealing and Particle Swarm Optimization 2011 ·International Journal of Computer Theory and Engineering ·Ning Chen, Bernardete Ribeiro, Armando Vieira, João Duarte, João Carvalho das Neves	1
8	Cost-sensitive LVQ for bankruptcy prediction: An empirical study 2009 ·Ning Chen, Armando Vieira, João Duarte	7
9	BANKRUPTCY PREDICTION BASED ON INDEPENDENT COMPONENT ANALYSIS 2009 ·Ning Chen, Armando Vieira	8
10	Sparse Bayesian Models: Bankruptcy-Predictors of Choice? 2006 ·The 2006 IEEE International Joint Conference on Neural Network Proceedings ·Bernardete Ribeiro, Armando Vieira, João Carvalho das Neves	8
11	A MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM USING NEURAL NETWORKS TO APPROXIMATE FITNESS EVALUATIONS 2005 ·António Gaspar‐Cunha, Armando Vieira	40
12	A Hybrid Multi-Objective Evolutionary Algorithm Using an Inverse Neural Network. 2004 ·António Gaspar‐Cunha, Armando Vieira	20
13	Determination of the composition of light thin films with artificial neural network analysis of Rutherford backscattering experiments 2003 ·Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics ·(unknown), (unknown), J.C. Soares, N.P. Barradas, Armando Vieira, Susana Cardoso, P. P. Freitas	4
14	Artificial neural network analysis of RBS data with roughness: Application to Ti0.4Al0.6N/Mo multilayers 2003 ·Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms ·(unknown), (unknown), Armando Vieira, N.P. Barradas	4
15	Artificial neural networks for automation of Rutherford backscattering spectroscopy experiments and data analysis 2002 ·Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics ·N.P. Barradas, Armando Vieira, (unknown)	11
16	Analysis of sapphire implanted with different elements using artificial neural networks 2002 ·Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms ·Armando Vieira, N.P. Barradas, E. Alves	6
17	Error performance analysis of artificial neural networks applied to Rutherford backscattering 2001 ·Surface and Interface Analysis ·Armando Vieira, N.P. Barradas, C. Jeynes	10
18	Neural network analysis of Rutherford backscattering data 2000 ·Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms ·Armando Vieira, N.P. Barradas	8
19	Fission of metallic clusters in the liquid drop model 1996 ·Physics Letters A ·Armando Vieira, Carlos Fiolhais	4
20	The two-centre shell model for the fission of metallic clusters 1996 ·Zeitschrift für Physik D Atoms Molecules and Clusters ·Armando Vieira, Carlos Fiolhais	4

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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