Samuel Liu

1.8k citations
65 papers · 1.3k indexed · h-index 19
Topics
Advanced Memory and Neural Computing (18 papers)Magnetic properties of thin films (12 papers)Magnetic Properties of Alloys (12 papers)
Journals
SHILAP Revista de lepidopterologíaNano LettersACS Nano

In The Last Decade

Samuel Liu

60 papers receiving 1.3k citations

Peers

Samuel Liu
Comparison fields: 5 of 136
  • Plant Science 466
  • Electrical and Electronic Engineering 343
  • Cell Biology 285
  • Electronic, Optical and Magnetic Materials 264
  • Atomic and Molecular Physics, and Optics 216
Replace Rie Matsumoto with:
Rie Matsumoto Japan
Youngeun Kim South Korea
S. Suzuki Japan
Karen Alim Germany
Yaxiaer Yalikun Japan
Naveen Shamsudhin Switzerland
Peter M. Johnson United States
Osamu Ichikawa Japan
T. Nitta Japan
Ali Hashmi United States
Samuel Liu relative to Rie Matsumoto Japan Rie Matsumoto's profile →
Citations per field
00.5×10×12.6×
Rie Matsumoto · 1×
Citations per year

Countries citing papers authored by Samuel Liu

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Liu. A scholar is included among the top collaborators of Samuel Liu 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 Samuel Liu. Samuel Liu 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
#WorkIndexed citations
1 0
2 1
3 2
4 5
5 8
6 0
7 5
8 1
9 18
10 7
11 14
12 12
13 16
14 0
15 13
16 47
17 25
18 4
19 14
20 6

About Samuel Liu

Samuel Liu is a scholar working on Electronic, Optical and Magnetic Materials, Health Informatics and Electrical and Electronic Engineering, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (18 papers), Magnetic properties of thin films (12 papers) and Magnetic Properties of Alloys (12 papers). The work is most often cited by research in Cell Biology (285 citations), Electronic, Optical and Magnetic Materials (264 citations) and Plant Science (466 citations). Samuel Liu has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Jean Anne C. Incorvia, Perry B. Cregan, R. C. Frohberg, B. Moreno‐Sevilla, Asbjørn Fjeld, R. W. Stack, J. Mitchell Fetch, Qijian Song, Clarice J. Coyne and James A. Anderson. Their work appears in journals such as SHILAP Revista de lepidopterología, Nano Letters and ACS Nano.

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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