Sam Vaziri

3.3k citations
59 papers · 2.6k indexed · 1 hit paper · h-index 22
Topics
Graphene research and applications (41 papers)Advancements in Semiconductor Devices and Circuit Design (17 papers)Semiconductor materials and devices (16 papers)

In The Last Decade

Sam Vaziri

58 papers receiving 2.6k citations

Hit Papers

Efficient Inkjet Printing of Graphene20132026201720212013100200300400

Peers

Sam Vaziri
Comparison fields: 5 of 61
  • Materials Chemistry 1.9k
  • Electrical and Electronic Engineering 1.4k
  • Biomedical Engineering 1.1k
  • Atomic and Molecular Physics, and Optics 393
  • Electronic, Optical and Magnetic Materials 263
Replace Guibai Xie with:
Guibai Xie China
Jinhwan Lee South Korea
Jinseong Heo South Korea
Junmo Kang South Korea
Junzhuan Wang China
Dae‐Young Chung South Korea
Wei-Qiang Han United States
Zhibin Shao China
Jürgen Carstensen Germany
Jinshui Miao China
Sam Vaziri relative to Guibai Xie China Guibai Xie's profile →
Citations per field
00.5×1.5×1.8×
Guibai Xie · 1×
Citations per year

Countries citing papers authored by Sam Vaziri

Since Specialization
Citations

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

Fields of papers citing papers by Sam Vaziri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Vaziri

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Vaziri. A scholar is included among the top collaborators of Sam Vaziri 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 Sam Vaziri. Sam Vaziri 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 6
3 28
4 11
5 33
6 5
7
Low-voltage (~1.3V), Arsenic Free Threshold Type Selector with Ultra High Endurance (> 10 11 ) for High Density 1S1R Memory Array
3
8 145
9 4
10 109
11 7
12 114
13 43
14 18
15 4
16
Efficient Inkjet Printing of Graphenebreakdown →
424
17 22
18 7
19 24
20 18

About Sam Vaziri

Sam Vaziri is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 59 papers that have together received 2.6k indexed citations. Recurring topics across this work include Graphene research and applications (41 papers), Advancements in Semiconductor Devices and Circuit Design (17 papers) and Semiconductor materials and devices (16 papers). The work is most often cited by research in Materials Chemistry (1.9k citations), Electrical and Electronic Engineering (1.4k citations) and Biomedical Engineering (1.1k citations). Sam Vaziri has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include Max C. Lemme, Mikael Östling, Jiantong Li, Fei Ye, Mamoun Muhammed, Anderson D. Smith, Eric Pop, Frank Niklaus, Mikael Sterner and Andreas Fischer. Their work appears in journals such as Advanced Materials, Nature Communications and Nano Letters.

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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