Felipe André Zeiser

461 total citations
13 papers, 251 citations indexed

About

Felipe André Zeiser is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Felipe André Zeiser has authored 13 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Felipe André Zeiser's work include Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers) and Quality and Safety in Healthcare (1 paper). Felipe André Zeiser is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers) and Quality and Safety in Healthcare (1 paper). Felipe André Zeiser collaborates with scholars based in Brazil, Germany and Portugal. Felipe André Zeiser's co-authors include Cristiano André da Costa, Rodrigo da Rosa Righi, Gabriel de Oliveira Ramos, Tiago Zonta, Adriana Vial Roehe, Nuno C. Marques, Rafael Kunst, Ismael Santos, Marcelo Moreno and Juliana Nichterwitz Scherer and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Molecular and Cellular Endocrinology.

In The Last Decade

Felipe André Zeiser

12 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Felipe André Zeiser Brazil 6 90 65 39 37 30 13 251
Saad Rehman United States 7 65 0.7× 56 0.9× 32 0.8× 30 0.8× 10 0.3× 18 428
Abdulkader Helwan Cyprus 10 132 1.5× 94 1.4× 56 1.4× 3 0.1× 8 0.3× 22 330
Mohanad A. Deif Egypt 12 108 1.2× 78 1.2× 34 0.9× 11 0.3× 6 0.2× 35 315
Fatema Shaikh Saudi Arabia 10 76 0.8× 56 0.9× 12 0.3× 24 0.6× 2 0.1× 17 335
Chirag Agarwal United States 11 118 1.3× 65 1.0× 68 1.7× 88 2.4× 3 0.1× 45 424
Saurabh Johri United Kingdom 5 191 2.1× 78 1.2× 17 0.4× 5 0.1× 5 0.2× 5 468
Mahsa Rezaei Iran 4 109 1.2× 60 0.9× 24 0.6× 3 0.1× 8 0.3× 6 309
Meiyi Yang China 8 28 0.3× 21 0.3× 20 0.5× 31 0.8× 9 0.3× 33 238
Mohammad Khaleel Sallam Ma’aitah Cyprus 6 99 1.1× 177 2.7× 48 1.2× 2 0.1× 7 0.2× 11 291
Surabhi Datta United States 10 261 2.9× 85 1.3× 34 0.9× 10 0.3× 3 0.1× 19 483

Countries citing papers authored by Felipe André Zeiser

Since Specialization
Citations

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

Fields of papers citing papers by Felipe André Zeiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Felipe André Zeiser. 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 Felipe André Zeiser. The network helps show where Felipe André Zeiser may publish in the future.

Co-authorship network of co-authors of Felipe André Zeiser

This figure shows the co-authorship network connecting the top 25 collaborators of Felipe André Zeiser. A scholar is included among the top collaborators of Felipe André Zeiser 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 Felipe André Zeiser. Felipe André Zeiser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Zeiser, Felipe André, Cristiano André da Costa, Gabriel de Oliveira Ramos, Andreas Maier, & Rodrigo da Rosa Righi. (2024). CheXReport: A transformer-based architecture to generate chest X-ray reports suggestions. Expert Systems with Applications. 255. 124644–124644. 5 indexed citations
2.
Bertoni, Ana Paula Santin, et al.. (2023). NT5E DNA methylation in papillary thyroid cancer: Novel opportunities for precision oncology. Molecular and Cellular Endocrinology. 570. 111915–111915. 4 indexed citations
3.
Rodrigues, Vinicius Facco, Rodrigo da Rosa Righi, Cristiano André da Costa, et al.. (2023). Digital health in smart cities: Rethinking the remote health monitoring architecture on combining edge, fog, and cloud. Health and Technology. 13(3). 449–472. 11 indexed citations
4.
Zeiser, Felipe André, et al.. (2023). An encoder–decoder deep neural network for binary segmentation of seismic facies. Computers & Geosciences. 183. 105507–105507. 1 indexed citations
6.
Zonta, Tiago, Cristiano André da Costa, Felipe André Zeiser, et al.. (2022). A predictive maintenance model for optimizing production schedule using deep neural networks. Journal of Manufacturing Systems. 62. 450–462. 61 indexed citations
7.
Zeiser, Felipe André, et al.. (2022). DeepCADD: A Deep Learning Architecture for Automatic Detection of Coronary Artery Disease. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 5 indexed citations
8.
Zeiser, Felipe André, Bruna Donida, Cristiano André da Costa, et al.. (2021). First and second COVID-19 waves in Brazil: A cross-sectional study of patients’ characteristics related to hospitalization and in-hospital mortality. The Lancet Regional Health - Americas. 6. 100107–100107. 62 indexed citations
9.
Zeiser, Felipe André, Cristiano André da Costa, & Gabriel de Oliveira Ramos. (2021). Convolutional Neural Networks Evaluation for COVID-19 Classification on Chest Radiographs. 1 indexed citations
10.
Zeiser, Felipe André, et al.. (2021). DeepBatch: A hybrid deep learning model for interpretable diagnosis of breast cancer in whole-slide images. Expert Systems with Applications. 185. 115586–115586. 27 indexed citations
11.
Zeiser, Felipe André, Cristiano André da Costa, Adriana Vial Roehe, Rodrigo da Rosa Righi, & Nuno C. Marques. (2021). Breast cancer intelligent analysis of histopathological data: A systematic review. Applied Soft Computing. 113. 107886–107886. 17 indexed citations
12.
Zeiser, Felipe André, Bruna Donida, Cristiano André da Costa, et al.. (2021). First and Second COVID-19 Waves in Brazil: A Cross-Sectional Study of Patients’ Characteristics Related to In-Hospital Mortality. SSRN Electronic Journal. 2 indexed citations
13.
Zeiser, Felipe André, Cristiano André da Costa, Tiago Zonta, et al.. (2020). Segmentation of Masses on Mammograms Using Data Augmentation and Deep Learning. Journal of Digital Imaging. 33(4). 858–868. 55 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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