George S. Tulevski

60 papers receiving 6.0k citations

Hit Papers

Tunable infrared plasmonic devices using graphene/insulat...2012202620162021201220122505007501000

Peers

George S. Tulevski
Comparison fields: 5 of 92
  • Materials Chemistry 3.5k
  • Electrical and Electronic Engineering 3.1k
  • Biomedical Engineering 2.9k
  • Atomic and Molecular Physics, and Optics 1.1k
  • Electronic, Optical and Magnetic Materials 959
Replace Mario Lanza with:
Mario Lanza China
Max C. Lemme Germany
Wen‐Wei Wu Taiwan
Yoshio Nishi United States
Hao Yan China
Hailong Hu China
Yu Zhu United States
Sung‐Yool Choi South Korea
Jin‐Woo Han South Korea
Joerg Appenzeller United States
George S. Tulevski relative to Mario Lanza China Mario Lanza's profile →
Citations per field
00.5×2.9×
Mario Lanza · 1×
Citations per year

Countries citing papers authored by George S. Tulevski

Since Specialization
Citations

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

Fields of papers citing papers by George S. Tulevski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George S. Tulevski. 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 George S. Tulevski. The network helps show where George S. Tulevski may publish in the future.

Co-authorship network of co-authors of George S. Tulevski

This figure shows the co-authorship network connecting the top 25 collaborators of George S. Tulevski. A scholar is included among the top collaborators of George S. Tulevski 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 George S. Tulevski. George S. Tulevski 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 10
2 189
3 16
4 124
5 9
6 66
7 404
8 226
9 155
10 254
11
Tunable infrared plasmonic devices using graphene/insulator stacksbreakdown →
1014
12 12
13 12
14
Chemically doped, transparent carbon nanotube films and the study of their interface with amorphous silicon
1
15 306
16
Chemical Doping and Electron-Hole Conduction Asymmetry in Graphene Devices
7
17 5
18 65
19 8
20 119

About George S. Tulevski

George S. Tulevski is a scholar working on Materials Chemistry, Biomedical Engineering and Electrical and Electronic Engineering, having authored 60 papers that have together received 6.1k indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (34 papers), Graphene research and applications (29 papers) and Molecular Junctions and Nanostructures (13 papers). The work is most often cited by research in Materials Chemistry (3.5k citations), Biomedical Engineering (2.9k citations) and Electrical and Electronic Engineering (3.1k citations). George S. Tulevski has collaborated with scholars based in United States, Egypt and Germany. Frequent co-authors include Shu‐Jen Han, Wilfried Haensch, Aaron D. Franklin, Qing Cao, Ali Afzali, Phaedon Avouris, J. B. Hannon, Bhupesh Chandra, Wenjuan Zhu and Marcus Freitag. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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