Aura Conci

3.9k total citations
179 papers, 2.6k citations indexed

About

Aura Conci is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Mechanics of Materials. According to data from OpenAlex, Aura Conci has authored 179 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Computer Vision and Pattern Recognition, 60 papers in Radiology, Nuclear Medicine and Imaging and 41 papers in Mechanics of Materials. Recurrent topics in Aura Conci's work include Infrared Thermography in Medicine (49 papers), Thermography and Photoacoustic Techniques (33 papers) and Thermoregulation and physiological responses (16 papers). Aura Conci is often cited by papers focused on Infrared Thermography in Medicine (49 papers), Thermography and Photoacoustic Techniques (33 papers) and Thermoregulation and physiological responses (16 papers). Aura Conci collaborates with scholars based in Brazil, Spain and Ecuador. Aura Conci's co-authors include Débora Christina Muchaluat Saade, Ángel Sánchez, Érick Oliveira Rodrigues, Panos Liatsis, Rita de Cássia Fernandes de Lima, Renato Bravo, Flávio Luiz Seixas, Débora C. Muchaluat-Saade, Anselmo Cardoso de Paiva and Marcelo Gattass and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Aura Conci

165 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aura Conci Brazil 27 992 710 541 472 342 179 2.6k
Jun Shi China 31 1.2k 1.2× 126 0.2× 779 1.4× 1.4k 2.9× 96 0.3× 188 3.6k
Chee‐Kong Chui Singapore 31 410 0.4× 131 0.2× 1.2k 2.1× 390 0.8× 121 0.4× 202 3.9k
U. Raghavendra India 31 1.2k 1.2× 56 0.1× 854 1.6× 586 1.2× 128 0.4× 84 3.1k
Kuo‐Sheng Cheng Taiwan 20 190 0.2× 218 0.3× 253 0.5× 223 0.5× 94 0.3× 97 1.8k
Anselmo Cardoso de Paiva Brazil 30 1.8k 1.8× 196 0.3× 852 1.6× 1.3k 2.8× 101 0.3× 212 3.2k
Pedro P. Rebouças Filho Brazil 34 992 1.0× 81 0.1× 937 1.7× 1.0k 2.1× 174 0.5× 152 3.7k
Anjan Gudigar India 27 952 1.0× 53 0.1× 633 1.2× 457 1.0× 42 0.1× 58 2.0k
Austin Reiter United States 20 369 0.4× 223 0.3× 1.4k 2.5× 770 1.6× 24 0.1× 46 2.8k
Özal Yıldırım Türkiye 29 2.4k 2.4× 52 0.1× 954 1.8× 2.1k 4.4× 90 0.3× 77 6.7k

Countries citing papers authored by Aura Conci

Since Specialization
Citations

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

Fields of papers citing papers by Aura Conci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aura Conci

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

All Works

20 of 20 papers shown
2.
3.
Conci, Aura, et al.. (2023). Cell Interact um jogo para aprender biologia celular. 559–568. 2 indexed citations
4.
Filho, Rubens Antunes da Cruz, et al.. (2021). A Computational Study on the Role of Parameters for Identification of Thyroid Nodules by Infrared Images (and Comparison with Real Data). Sensors. 21(13). 4459–4459. 5 indexed citations
5.
Santos, Davi Henrique dos, Prisco Piscitelli, Alessandro Miani, et al.. (2021). Multivariate data driven prediction of COVID-19 dynamics: Towards new results with temperature, humidity and air quality data. Environmental Research. 204. 112348–112348. 13 indexed citations
6.
Muchaluat-Saade, Débora C., et al.. (2021). A hybrid methodology for breast screening and cancer diagnosis using thermography. Computers in Biology and Medicine. 135. 104553–104553. 30 indexed citations
7.
Giraldi, Gilson A., et al.. (2020). On using convolutional neural networks to classify periodontal bone destruction in periapical radiographs. 2036–2039. 24 indexed citations
9.
Seixas, Flávio Luiz, et al.. (2017). Descrição de um sistema de suporte ao diagnóstico de demência e Transtornos Mentais Relacionados. Journal of Health Informatics. 9(3). 1 indexed citations
10.
Ramírez‐Torres, Ariel, Reinaldo Rodrı́guez-Ramos, Federico J. Sabina, et al.. (2017). The role of malignant tissue on the thermal distribution of cancerous breast. Journal of Theoretical Biology. 426. 152–161. 23 indexed citations
11.
Conci, Aura, et al.. (2015). Detección temprana del cáncer de mama mediante la termografía en Ecuador. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Rodrigues, Érick Oliveira, et al.. (2015). A novel approach for the automated segmentation and volume quantification of cardiac fats on computed tomography. Computer Methods and Programs in Biomedicine. 123. 109–128. 55 indexed citations
13.
Conci, Aura, et al.. (2015). A new measure for comparing biomedical regions of interest in segmentation of digital images. Discrete Applied Mathematics. 197. 103–113. 15 indexed citations
14.
Conci, Aura, et al.. (2012). Diagnóstico precoce de doenças mamárias usando imagens térmicas e aprendizado de máquina. SHILAP Revista de lepidopterología. 1(1). 55–67. 3 indexed citations
15.
Conci, Aura, et al.. (2012). Presenting novel de-noising techniques for brain MRI. International Conference on Systems, Signals and Image Processing. 244–247. 2 indexed citations
16.
Sánchez, Ángel, et al.. (2011). Hybridizing genetic algorithms and path relinking for steganography. 285–288. 4 indexed citations
17.
Conci, Aura, et al.. (2011). Biomedical use of infrared images. International Conference on Systems, Signals and Image Processing. 1–4. 1 indexed citations
18.
Conci, Aura, et al.. (2011). Robust background subtraction on traffic videos. International Conference on Systems, Signals and Image Processing. 1–4. 10 indexed citations
19.
Conci, Aura, et al.. (2011). Word-level segmentation in printed and handwritten documents. International Conference on Systems, Signals and Image Processing. 1–4. 1 indexed citations
20.
Conci, Aura, et al.. (2003). Texture Segmentation Considering Multi Band, Multi Resolution and Affine Invariant Roughness. 254–261. 5 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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