J. M. Seixas

27.3k total citations
98 papers, 657 citations indexed

About

J. M. Seixas is a scholar working on Signal Processing, Artificial Intelligence and Nuclear and High Energy Physics. According to data from OpenAlex, J. M. Seixas has authored 98 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Signal Processing, 24 papers in Artificial Intelligence and 22 papers in Nuclear and High Energy Physics. Recurrent topics in J. M. Seixas's work include Blind Source Separation Techniques (19 papers), Particle Detector Development and Performance (19 papers) and Particle physics theoretical and experimental studies (12 papers). J. M. Seixas is often cited by papers focused on Blind Source Separation Techniques (19 papers), Particle Detector Development and Performance (19 papers) and Particle physics theoretical and experimental studies (12 papers). J. M. Seixas collaborates with scholars based in Brazil, Switzerland and Portugal. J. M. Seixas's co-authors include A. S. Cerqueira, Danton Diego Ferreira, Carlos A. Duque, Afrânio Lineu Kritski, D. Oliveira Damazio, Antonio Mauricio Ferreira Leite Miranda de Sá, E. Furtado De Simas Filho, Anete Trajman, Basílio de Bragança Pereira and Alcione Miranda dos Santos and has published in prestigious journals such as Sensors, Computer Physics Communications and Remote Sensing.

In The Last Decade

J. M. Seixas

86 papers receiving 644 citations

Peers

Countries citing papers authored by J. M. Seixas

Since Specialization

Citations

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

Fields of papers citing papers by J. M. Seixas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. Seixas. 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 J. M. Seixas. The network helps show where J. M. Seixas may publish in the future.

Co-authorship network of co-authors of J. M. Seixas

This figure shows the co-authorship network connecting the top 25 collaborators of J. M. Seixas. A scholar is included among the top collaborators of J. M. Seixas 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 J. M. Seixas. J. M. Seixas 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	Hilbert–Huang Transform With Intelligent Noise Reduction for Passive SONAR Signal Processing 2025 ·IEEE Journal of Oceanic Engineering ·(unknown), (unknown), E. Furtado De Simas Filho, (unknown), J. M. Seixas, N. M. J. Nunes De Moura	0
2	Ring-like calorimeter information for energy calibration in electron trigger at a highly segmented detector using gradient boosted decision trees 2025 ·Journal of Instrumentation ·E. Furtado De Simas Filho, Paulo César Machado de Abreu Farias, E. Egidio Purcino De Souza, J. Lieber Marin, J. M. Seixas, A. S. Cerqueira, B. Laforge	0
3	A Maximum Likelihood Approach for Signal Estimation and Data Quality Assessment for High-Energy Calorimeter Systems 2025 ·IEEE Transactions on Nuclear Science ·(unknown), B. S. Peralva, (unknown), (unknown), L. Manhaes de Andrade Filho, J. M. Seixas	0
4	A Reduced Complexity Acoustic-Based 3D DoA Estimation with Zero Cyclic Sum 2024 ·Sensors ·(unknown), José A. Apolinário, J. M. Seixas	1
5	Lorenzetti Showers - A general-purpose framework for supporting signal reconstruction and triggering with calorimeters 2023 ·Computer Physics Communications ·M. Verissimo De Araujo, M. Begalli, W. S. Freund, (unknown), M. Khandoga, B. Laforge, A. Leopold, J. Lieber Marin, (unknown), J. V. Da Fonseca Pinto, (unknown), J. M. Seixas, E. Furtado De Simas Filho, E. Egidio Purcino De Souza	2
6	Enhancing TDE-based Drone DoA Estimation with Genetic Algorithms and Zero Cyclic Sum 2023 ·(unknown), José A. Apolinário, J. M. Seixas	1
7	Machine Learning Based Sampling of X-Ray Images for a Computer-Aided Detection of Tuberculosis 2022 ·(unknown), P. Gaspar, (unknown), (unknown), (unknown), M. Verissimo De Araujo, J. M. Seixas, (unknown), Anete Trajman	1
8	Applying the Lifelong Machine Learning Paradigm in Tuberculosis Triage 2022 ·(unknown), (unknown), Anete Trajman, J. M. Seixas	1
9	Unsupervised Class-Expert Learning for Supporting Covid-19 Triage Based on Computed Tomography Data 2022 ·(unknown), (unknown), Demóstenes Zegarra Rodríguez, Danton Diego Ferreira, Bruno Henrique Groenner Barbosa, J. M. Seixas	1
10	Evolutionary-morphological learning machines for high-frequency financial time series prediction 2018 ·Swarm and Evolutionary Computation ·Ricardo de A. Araújo, Nadia Nedjah, J. M. Seixas, Adriano L. I. Oliveira, Sílvio Romero de Lemos Meira	6
11	Novelty Detection in Passive Sonar Systems using Stacked AutoEncoders 2018 ·(unknown), (unknown), J. M. Seixas	8
12	Screening for active pulmonary tuberculosis: Development and applicability of artificial neural network models 2018 ·Tuberculosis ·(unknown), Mauro Niskier Sanchez, J. M. Seixas, C. Maidantchik, Rafael Mello Galliez, Adriana da Silva Rezende Moreira, (unknown), Martha Maria Oliveira, Anthony Harries, Afrânio Lineu Kritski	13
13	Applying an artificial neural network model for developing a severity score for patients with hereditary amyloid polyneuropathy 2017 ·Amyloid ·(unknown), Felipe Machado, (unknown), Débora Foguel, Márcia Waddington‐Cruz, J. M. Seixas	1
14	A screening system for smear-negative pulmonary tuberculosis using artificial neural networks 2016 ·International Journal of Infectious Diseases ·(unknown), J. M. Seixas, Rafael Mello Galliez, Basílio de Bragança Pereira, (unknown), Alcione Miranda dos Santos, Afrânio Lineu Kritski	23
15	Independent component analysis-based method for electroencephalogram analysis during photic stimulation 2014 ·Journal of Neuroscience Methods ·Danton Diego Ferreira, (unknown), J. M. Seixas, A. S. Cerqueira, Antonio Mauricio Ferreira Leite Miranda de Sá	1
16	Power quality disturbances classification using specialized neural networks 2010 ·A. S. Cerqueira, Danton Diego Ferreira, (unknown), (unknown), J. M. Seixas	2
17	Portable implementation of a text-to-speech system for portuguese 2008 ·European Signal Processing Conference ·(unknown), J. M. Seixas, Sérgio L. Netto, Diamantino Freitas, (unknown)	1
18	Segmented self-organized feature extraction for online filtering in a high event rate detector 2008 ·European Signal Processing Conference ·E. Furtado De Simas Filho, J. M. Seixas, L.P. Calôba	0
19	Straight-line track reconstruction in 3d images using adaptive morphological Hough transform 2007 ·(unknown), J. M. Seixas, Márcio P. de Albuquerque	1
20	Optical properties of injection‐molded polystyrene scintillators. II. Distribution of dopants 2003 ·Journal of Applied Polymer Science ·(unknown), J. M. Seixas, M. Oliveira, E. E. Khoda, A. S. Pouzada	2

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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