Celeste Alves

613 citations
6 papers · 104 · h-index 4

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Surgical Simulation and Training
    • Reconstructive Surgery and Microvascular Techniques

Papers in

    • Reconstructive Surgery and Microvascular Techniques 2
    • Surgical Simulation and Training 1
    • Breast Implant and Reconstruction 1
    • Single-cell and spatial transcriptomics 1

Celeste Alves

6 papers receiving 104 citations

Peers

Celeste Alves
Comparison fields: 5 of 32
  • Health Informatics 21
  • Surgery 41
  • Computer Vision and Pattern Recognition 23
  • Cancer Research 10
  • Radiology, Nuclear Medicine and Imaging 14
Replace Mark Lachmann with:
Mark Lachmann Germany
Hailong Qiu China
Bruna Gomes Germany
Maxime Blain France
Rémy Dubois France
Isabell Twick Switzerland
Kadir Kirtac Switzerland
Nadav Rakocz United States
A. Sánchez Germany
Adrian Krenzer Germany
Celeste Alves relative to Mark Lachmann Germany Mark Lachmann's profile →
Citations per field
00.5×1.5×2.1×
Mark Lachmann · 1×
Citations per year

Countries citing papers authored by Celeste Alves

Since Specialization
Citations

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

Fields of papers citing papers by Celeste Alves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Celeste Alves, 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 Celeste Alves Line = papers co-authored together Celeste Alves links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 202151
2 202039
3 20216
4 20254
5 20242
6 20182

About Celeste Alves

Celeste Alves is a scholar working on Surgery, Molecular Biology, Computer Vision and Pattern Recognition, Cell Biology and Biophysics, having authored 6 papers that have together received 104 indexed citations. Recurring topics across this work include Reconstructive Surgery and Microvascular Techniques (2 papers), Zebrafish Biomedical Research Applications (1 paper), Surgical Simulation and Training (1 paper), Breast Implant and Reconstruction (1 paper), Medical Imaging and Analysis (1 paper), Cell Image Analysis Techniques (1 paper), Single-cell and spatial transcriptomics (1 paper) and Augmented Reality Applications (1 paper). The work is most often cited by research in Health Informatics (21 citations), Surgery (41 citations), Computer Vision and Pattern Recognition (23 citations), Cancer Research (10 citations) and Radiology, Nuclear Medicine and Imaging (14 citations). Celeste Alves has collaborated with scholars based in Portugal, France and United Kingdom. Frequent co-authors include Fátima Cardoso, Maria João Cardoso, Pedro Gouveia, David Pinto, Hélder P. Oliveira, Jaime S. Cardoso, Ronald Kates, Myrianthi Hadjicharalambous, Nickolas Papanikolaou and Daniel Simões Lopes. Their work appears in journals such as The Breast, European Journal of Nuclear Medicine and Molecular Imaging, npj Precision Oncology, Breast Care and European Journal of Cancer.

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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