Minh Phạm

71 total papers · 885 total citations
26 papers, 543 citations indexed

About

Minh Phạm is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiation. According to data from OpenAlex, Minh Phạm has authored 26 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Radiation. Recurrent topics in Minh Phạm's work include Algebraic and Geometric Analysis (5 papers), Advanced X-ray Imaging Techniques (5 papers) and Advanced Image Processing Techniques (3 papers). Minh Phạm is often cited by papers focused on Algebraic and Geometric Analysis (5 papers), Advanced X-ray Imaging Techniques (5 papers) and Advanced Image Processing Techniques (3 papers). Minh Phạm collaborates with scholars based in United States, Vietnam and Japan. Minh Phạm's co-authors include Stanley Osher, Jianwei Miao, Yakun Yuan, Arjun Rana, Yao Yang, Andreas K. Schmid, Jihan Zhou, Fan Zhu, Peter Ercius and Dillan J. Chang and has published in prestigious journals such as Physical Review Letters, Nature Materials and Scientific Reports.

In The Last Decade

Minh Phạm

22 papers receiving 529 citations

Hit Papers

Determining the three-dim... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Minh Phạm 222 168 63 62 62 26 543
Lucas J. Koerner 174 0.8× 138 0.8× 47 0.7× 7 0.1× 5 0.1× 33 537
А. В. Матвеев 290 1.3× 71 0.4× 16 0.3× 3 0.0× 80 1.3× 65 550
John Joseph 80 0.4× 39 0.2× 112 1.8× 5 0.1× 15 0.2× 44 596
Hiroshi Akiba 179 0.8× 40 0.2× 3 0.0× 19 0.3× 33 0.5× 52 602
Rui Zhang 106 0.5× 56 0.3× 35 0.6× 3 0.0× 7 0.1× 32 543
Natasha Dropka 387 1.7× 180 1.1× 3 0.0× 6 0.1× 35 0.6× 59 580
J. Pizarro 203 0.9× 33 0.2× 117 1.9× 2 0.0× 24 0.4× 35 562
Matthew R. Carbone 373 1.7× 33 0.2× 6 0.1× 3 0.0× 43 0.7× 39 594
Alain Pérez 195 0.9× 26 0.2× 7 0.1× 26 0.4× 43 0.7× 32 546
Mingchun Li 171 0.8× 122 0.7× 6 0.1× 3 0.0× 21 0.3× 29 590

Countries citing papers authored by Minh Phạm

Since Specialization
Citations

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

Fields of papers citing papers by Minh Phạm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minh Phạm

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

All Works

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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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