Felipe Soares

20 papers receiving 373 citations

Peers

Felipe Soares
Comparison fields: 5 of 121
  • Health Informatics 29
  • Biophysics 34
  • Analytical Chemistry 57
  • Health Information Management 25
  • Tourism, Leisure and Hospitality Management 6
Replace Umberto Michelucci with:
Umberto Michelucci Switzerland
Daniel Caballero Spain
S. M. Taslim Uddin Raju Bangladesh
José Celso Rocha Brazil
Meichen Li China
Khalil Ur Rehman Pakistan
Ahmet Saygılı Türkiye
V A Binson India
Tijana Šušteršič Serbia
Felipe Soares relative to Umberto Michelucci Switzerland Umberto Michelucci's profile →
Citations per field
00.5×6.7×
Umberto Michelucci · 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 2021155
2 201838
3 201933
4 201728
5 201823
6 201921
7 201721
8 201916
9 202211
10 202211
11 201910
12 20178
13 20195
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 394 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (7 papers), Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers), Biomedical Text Mining and Ontologies (5 papers), Spectroscopy Techniques in Biomedical and Chemical Research (4 papers), Advanced Chemical Sensor Technologies (3 papers), Artificial Intelligence in Healthcare (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Health Informatics (29 citations), Biophysics (34 citations), Analytical Chemistry (57 citations), Health Information Management (25 citations) and Tourism, Leisure and Hospitality Management (6 citations). Felipe Soares has collaborated with scholars based in Brazil, Spain and United Kingdom. Frequent co-authors include Michel J. Anzanello, Andrea Campagner, Federico Cabitza, Adela Sulejmani, Anna Carobene, Feyissa Challa, Michela Seghezzi, Luis García de Guadiana‐Romualdo, Flávio S. Fogliatto and Martin Krallinger. Their work appears in journals such as Chemometrics and Intelligent Laboratory Systems, Artificial Intelligence in Medicine, Journal of Hand Therapy, Journal of Pharmaceutical and Biomedical Analysis and Computers and Electronics in Agriculture.

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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