Felipe Soares

20 papers receiving 403 citations

Felipe Soares's Hit Papers

The importance of being external. methodological insights for the external validation of machine learning models in medicine 2021 · 170 citations
1700+1+3Years since publication50100150

Peers

Felipe Soares
Comparison fields: 5 of 113
  • Health Informatics 19
  • Analytical Chemistry 60
  • Biophysics 35
  • Tourism, Leisure and Hospitality Management 6
  • Industrial and Manufacturing Engineering 31
Replace Daniel Caballero with:
Daniel Caballero Spain
José Celso Rocha Brazil
Haixia Sun China
Xiangxiang Zheng China
Andrea Manconi Italy
S. M. Taslim Uddin Raju Bangladesh
Ahsanullah Unar Pakistan
Noor E. Hafsa Saudi Arabia
Eunghee Kim South Korea
Felipe Soares relative to Daniel Caballero Spain Daniel Caballero's profile →
Citations per field
00.5×
Daniel Caballero · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Felipe Soares, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Felipe Soares Line = papers co-authored together Felipe Soares links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
The importance of being external. methodological insights for the external validation of machine learning models in medicine
Hit paper breakdown →
2021170
2 201844
3 201934
4 201728
5 201823
6 201722
7 201921
8 201916
9 202215
10 201911
11 202211
12 20178
13 20196
14 20203
15 20233
16 20193
17 20182
18 20211
19 20201
20 20211

About Felipe Soares

Felipe Soares is a scholar working on Molecular Biology, Artificial Intelligence, Analytical Chemistry, Biophysics and Biomedical Engineering, having authored 20 papers that have together received 423 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (7 papers), Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers), Biomedical Text Mining and Ontologies (5 papers), Spectroscopy Techniques in Biomedical and Chemical Research (4 papers), Advanced Chemical Sensor Technologies (3 papers), Water Quality Monitoring and Analysis (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Health Informatics (19 citations), Analytical Chemistry (60 citations), Biophysics (35 citations), Tourism, Leisure and Hospitality Management (6 citations) and Industrial and Manufacturing Engineering (31 citations). Felipe Soares has collaborated with scholars based in Brazil, Spain and United Kingdom. Frequent co-authors include Michel J. Anzanello, Michela Seghezzi, Feyissa Challa, Luis García de Guadiana‐Romualdo, Anna Carobene, Andrea Campagner, Federico Cabitza, Adela Sulejmani, Flávio S. Fogliatto and Jordi Armengol-Estapé. Their work appears in journals such as Chemometrics and Intelligent Laboratory Systems, Computer Methods and Programs in Biomedicine, Artificial Intelligence in Medicine, International Journal of Infectious Diseases and Journal of Pharmaceutical and Biomedical Analysis.

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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