Felipe Soares

933 total citations
20 papers, 394 citations indexed

About

Felipe Soares is a scholar working on Molecular Biology, Artificial Intelligence and Analytical Chemistry. According to data from OpenAlex, Felipe Soares has authored 20 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Artificial Intelligence and 7 papers in Analytical Chemistry. Recurrent topics in Felipe Soares's work include Spectroscopy and Chemometric Analyses (7 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (6 papers). Felipe Soares is often cited by papers focused on Spectroscopy and Chemometric Analyses (7 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (6 papers). Felipe Soares collaborates with scholars based in Brazil, United Kingdom and Spain. Felipe Soares's co-authors include Michel J. Anzanello, Feyissa Challa, Michela Seghezzi, Anna Carobene, Luis García de Guadiana‐Romualdo, Adela Sulejmani, Andrea Campagner, Federico Cabitza, Flávio S. Fogliatto and Martin Krallinger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers and Electronics in Agriculture and Food Control.

In The Last Decade

Felipe Soares

20 papers receiving 373 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 Soares Brazil 11 123 75 57 55 42 20 394
José Celso Rocha Brazil 13 38 0.3× 91 1.2× 39 0.7× 8 0.1× 30 0.7× 42 515
Meichen Li China 11 25 0.2× 34 0.5× 32 0.6× 16 0.3× 25 0.6× 37 291
Umberto Michelucci Switzerland 8 51 0.4× 6 0.1× 37 0.6× 29 0.5× 34 0.8× 26 261
Daniel Caballero Spain 14 25 0.2× 129 1.7× 265 4.6× 19 0.3× 181 4.3× 44 518
Knut Dyrstad Norway 11 17 0.1× 137 1.8× 114 2.0× 76 1.4× 144 3.4× 27 564
Khalil Ur Rehman Pakistan 14 207 1.7× 35 0.5× 6 0.1× 168 3.1× 50 1.2× 55 664
Wen Shi China 12 29 0.2× 121 1.6× 200 3.5× 8 0.1× 192 4.6× 34 563
V A Binson India 12 36 0.3× 44 0.6× 28 0.5× 63 1.1× 331 7.9× 36 520
Lluís A. Belanche-Muñoz Spain 9 35 0.3× 89 1.2× 5 0.1× 26 0.5× 34 0.8× 16 349

Countries citing papers authored by Felipe Soares

Since Specialization
Citations

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

Fields of papers citing papers by Felipe Soares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felipe Soares

This figure shows the co-authorship network connecting the top 25 collaborators of Felipe Soares. A scholar is included among the top collaborators of Felipe Soares 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 Soares. Felipe Soares 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
1.
2.
Villegas, Marta, Aitor González-Agirre, Jordi Armengol-Estapé, et al.. (2022). Predicting the evolution of COVID-19 mortality risk: A Recurrent Neural Network approach. SHILAP Revista de lepidopterología. 3. 100089–100089. 11 indexed citations
3.
Anzanello, Michel J., et al.. (2022). Selecting relevant wavelength intervals for PLS calibration based on absorbance interquartile ranges. Chemometrics and Intelligent Laboratory Systems. 231. 104689–104689. 11 indexed citations
4.
Soares, Felipe, et al.. (2021). O-JMeSH: creating a bilingual English-Japanese controlled vocabulary of MeSH UIDs through machine translation and mutual information. Genomics & Informatics. 19(3). e26–e26. 1 indexed citations
5.
Cabitza, Federico, Andrea Campagner, Felipe Soares, et al.. (2021). The importance of being external. methodological insights for the external validation of machine learning models in medicine. Computer Methods and Programs in Biomedicine. 208. 106288–106288. 155 indexed citations
6.
7.
Soares, Felipe, et al.. (2020). On the crucial role of multilingual biomedical databases in epidemic events (SARS-CoV-2 analysis). International Journal of Infectious Diseases. 96. 352–354. 3 indexed citations
8.
Soares, Felipe, et al.. (2020). SciBabel: a system for crowd-sourced validation of automatic translations of scientific texts. Genomics & Informatics. 18(2). e21–e21. 1 indexed citations
9.
Fogliatto, Flávio S., Michel J. Anzanello, Felipe Soares, & Priscila G. Brust‐Renck. (2019). Decision Support for Breast Cancer Detection: Classification Improvement Through Feature Selection. Cancer Control. 26(1). 1147311862–1147311862. 21 indexed citations
10.
Anzanello, Michel J., Felipe Soares, Flávio S. Fogliatto, et al.. (2019). Hierarchical classification of sparkling wine samples according to the country of origin based on the most informative chemical elements. Food Control. 106. 106737–106737. 16 indexed citations
11.
Soares, Felipe, Michel J. Anzanello, Flávio S. Fogliatto, et al.. (2019). Enhancing counterfeit and illicit medicines grouping via feature selection and X-ray fluorescence spectrometry. Journal of Pharmaceutical and Biomedical Analysis. 174. 198–205. 5 indexed citations
12.
Armengol-Estapé, Jordi, Felipe Soares, Montserrat Marimon, & Martin Krallinger. (2019). PharmacoNER Tagger: a deep learning-based tool for automatically finding chemicals and drugs in Spanish medical texts. Genomics & Informatics. 17(2). e15–e15. 10 indexed citations
13.
Soares, Felipe & Martin Krallinger. (2019). BSC Participation in the WMT Translation of Biomedical Abstracts. 175–178. 3 indexed citations
14.
Soares, Felipe, Marta Villegas, Aitor González-Agirre, Martin Krallinger, & Jordi Armengol-Estapé. (2019). Medical Word Embeddings for. 124–133. 33 indexed citations
15.
Soares, Felipe, Michel J. Anzanello, Flávio S. Fogliatto, et al.. (2018). Element selection and concentration analysis for classifying South America wine samples according to the country of origin. Computers and Electronics in Agriculture. 150. 33–40. 23 indexed citations
16.
Ludwig, Valdemir, et al.. (2018). Analysis by Raman and infrared spectroscopy combined with theoretical studies on the identification of plasticizer in PVC films. Vibrational Spectroscopy. 98. 134–138. 38 indexed citations
17.
Soares, Felipe & Karin Becker. (2018). UFRGS Participation on the WMT Biomedical Translation Shared Task. 662–666. 2 indexed citations
18.
Soares, Felipe, Karin Becker, & Michel J. Anzanello. (2017). A hierarchical classifier based on human blood plasma fluorescence for non-invasive colorectal cancer screening. Artificial Intelligence in Medicine. 82. 1–10. 21 indexed citations
19.
Soares, Felipe & Michel J. Anzanello. (2017). Support vector regression coupled with wavelength selection as a robust analytical method. Chemometrics and Intelligent Laboratory Systems. 172. 167–173. 28 indexed citations
20.
Soares, Felipe, et al.. (2017). A non-equidistant wavenumber interval selection approach for classifying diesel/biodiesel samples. Chemometrics and Intelligent Laboratory Systems. 167. 171–178. 8 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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