Deepak Varandani

1.3k citations
56 papers · 1.1k indexed · h-index 19
Topics
Advanced Memory and Neural Computing (8 papers)Nanowire Synthesis and Applications (7 papers)Quantum Dots Synthesis And Properties (7 papers)

In The Last Decade

Deepak Varandani

55 papers receiving 1.1k citations

Peers

Deepak Varandani
Comparison fields: 5 of 76
  • Materials Chemistry 724
  • Electrical and Electronic Engineering 521
  • Biomedical Engineering 189
  • Electronic, Optical and Magnetic Materials 128
  • Atomic and Molecular Physics, and Optics 107
Replace Takuya Suzuki with:
Takuya Suzuki Japan
Zhiwen Lu China
Xiaodong Su China
Varlei Rodrigues Brazil
Cong Zhao China
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Pratap K. Sahoo India
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Mahmood Rezaee Roknabadi Iran
Xigui Yang China
Deepak Varandani relative to Takuya Suzuki Japan Takuya Suzuki's profile →
Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Deepak Varandani

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Varandani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Varandani

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Varandani. A scholar is included among the top collaborators of Deepak Varandani 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 Deepak Varandani. Deepak Varandani 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 13
2 2
3 5
4 5
5 3
6 12
7
ステンシルリソグラフィー技術を用いて作製したCu 2 O ReRAMデバイスにおけるフィラメント伝導のCAFM調査
11
8 49
9 109
10 12
11 2
12 49
13 2
14 114
15 12
16 8
17 20
18 5
19 16
20 9

About Deepak Varandani

Deepak Varandani is a scholar working on Condensed Matter Physics, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Nanowire Synthesis and Applications (7 papers) and Quantum Dots Synthesis And Properties (7 papers). The work is most often cited by research in Bioengineering (97 citations), Materials Chemistry (724 citations) and Electrical and Electronic Engineering (521 citations). Deepak Varandani has collaborated with scholars based in India, United Kingdom and Switzerland. Frequent co-authors include B. R. Mehta, Amit Bandyopadhyay, Nita Dilawar, Rakesh Kumar, Vidya Nand Singh, Balachandra Kumaraswamy, Bharti Singh, Manika Khanuja, Kläus Müllen and Xinliang Feng. Their work appears in journals such as Physical review. B, Condensed matter, Applied Physics Letters and Journal of Applied Physics.

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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