Allen P. Miraflor

3.0k citations
11 papers · 1.8k indexed · 1 hit paper · h-index 7
Topics
AI in cancer detection (3 papers)Colorectal Cancer Screening and Detection (2 papers)Radiomics and Machine Learning in Medical Imaging (1 paper)
Partner nations
United States

In The Last Decade

Allen P. Miraflor

10 papers receiving 1.8k citations

Hit Papers

Clinical-grade computational pathology using weakly super...201920262021202320194008001.2k

Peers

Allen P. Miraflor
Comparison fields: 5 of 105
  • Artificial Intelligence 1.3k
  • Radiology, Nuclear Medicine and Imaging 944
  • Oncology 462
  • Computer Vision and Pattern Recognition 446
  • Biophysics 200
Replace Vitor Werneck Krauss Silva with:
Vitor Werneck Krauss Silva United States
Luke Geneslaw United States
Meyke Hermsen Netherlands
Theodore Sakellaropoulos United States
Catarina Eloy Portugal
Muhammad Khalid Khan Niazi United States
Natalie Shih United States
Korsuk Sirinukunwattana United Kingdom
António Polónia Portugal
Mohamed Amgad United States
Allen P. Miraflor relative to Vitor Werneck Krauss Silva United States Vitor Werneck Krauss Silva's profile →
Citations per field
00.5×1.5×2.5×
Vitor Werneck Krauss Silva · 1×
Citations per year

Countries citing papers authored by Allen P. Miraflor

Since Specialization
Citations

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

Fields of papers citing papers by Allen P. Miraflor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allen P. Miraflor. 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 Allen P. Miraflor. The network helps show where Allen P. Miraflor may publish in the future.

Co-authorship network of co-authors of Allen P. Miraflor

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2
Clinical-grade computational pathology using weakly supervised deep learning on whole slide imagesbreakdown →
1430
3 3
4 5
5 231
6 20
7 24
8 11
9 8
10 6
11 49

About Allen P. Miraflor

Allen P. Miraflor is a scholar working on Virology, Gastroenterology and Biophysics, having authored 11 papers that have together received 1.8k indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Colorectal Cancer Screening and Detection (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Health Informatics (149 citations), Radiology, Nuclear Medicine and Imaging (944 citations) and Artificial Intelligence (1.3k citations). Allen P. Miraflor has collaborated with scholars based in United States. Frequent co-authors include Klaus J. Busam, Edi Brogi, Gabriele Campanella, Matthew G. Hanna, Luke Geneslaw, Vitor Werneck Krauss Silva, Victor E. Reuter, Thomas J. Fuchs, David S. Klimstra and Saeed Hassanpour. Their work appears in journals such as Nature Medicine, Endocrinology and Emerging infectious diseases.

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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