Pham Nam Hai

3.2k total citations
116 papers, 2.4k citations indexed

About

Pham Nam Hai is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Pham Nam Hai has authored 116 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Atomic and Molecular Physics, and Optics, 47 papers in Electrical and Electronic Engineering and 44 papers in Materials Chemistry. Recurrent topics in Pham Nam Hai's work include Magnetic properties of thin films (49 papers), ZnO doping and properties (33 papers) and Quantum and electron transport phenomena (27 papers). Pham Nam Hai is often cited by papers focused on Magnetic properties of thin films (49 papers), ZnO doping and properties (33 papers) and Quantum and electron transport phenomena (27 papers). Pham Nam Hai collaborates with scholars based in Japan, Vietnam and United States. Pham Nam Hai's co-authors include Masaaki Tanaka, Lê Đức Anh, Shinobu Ohya, Nguyen Thanh Tu, Weimin Chen, I. A. Buyanova, Erik Janzén, Nguyên Tiên Són, H. P. Xin and C. W. Tu and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Pham Nam Hai

108 papers receiving 2.4k citations

Peers

Pham Nam Hai
Comparison fields: 5 of 57
  • Atomic and Molecular Physics, and Optics 1.5k
  • Materials Chemistry 1.2k
  • Electrical and Electronic Engineering 996
  • Electronic, Optical and Magnetic Materials 763
  • Condensed Matter Physics 614
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K. Kikoin Israel
Jiro Temmyo Japan
S. Marcinkevičius Sweden
N. Balkan United Kingdom
M. Dobrowolska United States
G. E. Blonder United States
C. Sürgers Germany
Hongyu Luo China
A. M. Kalashnikova Russia
Anna Palau Spain
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Citations per field, relative to Pham Nam Hai
Pham Nam Hai · 1×
Citations per year, relative to Pham Nam Hai
Pham Nam Hai · 1×

Countries citing papers authored by Pham Nam Hai

Since Specialization
Citations

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

Fields of papers citing papers by Pham Nam Hai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pham Nam Hai. 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 Pham Nam Hai. The network helps show where Pham Nam Hai may publish in the future.

Co-authorship network of co-authors of Pham Nam Hai

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 5
5 1
6 12
7 8
8 1
9 4
10 6
11 100
12 3
13 5
14 7
15 22
16 0
17
X線磁気二色性により研究したn型強磁性半導体(In,Fe)As:Beの磁化過程
4
18 20
19 38
20 33

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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