Vikramjit Singh

1.1k citations
20 papers · 840 · h-index 10

Impact in

Papers in

Vikramjit Singh

18 papers receiving 827 citations

Peers

Vikramjit Singh
Comparison fields: 5 of 118
  • Biomaterials 331
  • Management of Technology and Innovation 94
  • Pharmaceutical Science 66
  • Biomedical Engineering 313
  • Molecular Medicine 30
Replace Soo-Hong Lee with:
Soo-Hong Lee South Korea
Zhen Pan China
Fanmao Liu China
Changxue Xu United States
Thomas Braschler Switzerland
Ashutosh Tiwari India
Liqun Wu China
Qianni Wu China
Chao Qi China
Jayoung Kim South Korea
Vikramjit Singh relative to Soo-Hong Lee South Korea Soo-Hong Lee's profile →
Citations per field
00.5×10×15.7×
Soo-Hong Lee · 1×
Citations per year

Countries citing papers authored by Vikramjit Singh

Since Specialization
Citations

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

Fields of papers citing papers by Vikramjit Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Vikramjit Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vikramjit Singh Line = papers co-authored together Vikramjit Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2013358
2 2015129
3 200998
4 201671
5 201141
6 201233
7 200727
8 200623
9 202213
10 201912
11 20139
12 20216
13 20175
14
A Novel Exploration into Gust Resistant Operation of MAVs / UAVs Through Transformation
20065
15 20144
16 20122
17
Empirical Wavelet Transform & its Comparison with Empirical Mode Decomposition: A review
20182
18 20171
19 20141
20 20250

About Vikramjit Singh

Vikramjit Singh is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Biomaterials and Aerospace Engineering, having authored 20 papers that have together received 840 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (4 papers), Nanoparticle-Based Drug Delivery (4 papers), Design Education and Practice (3 papers), Blood properties and coagulation (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), IoT-based Smart Home Systems (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers) and Product Development and Customization (3 papers). The work is most often cited by research in Biomaterials (331 citations), Management of Technology and Innovation (94 citations), Pharmaceutical Science (66 citations), Biomedical Engineering (313 citations) and Molecular Medicine (30 citations). Vikramjit Singh has collaborated with scholars based in United States, India and China. Frequent co-authors include Li Shi, Krishnendu Roy, Rachit Agarwal, Patrick Jurney, S. V. Sreenivasan, Dan Jensen, Kristin L. Wood, S. V. Sreenivasan, R. L. Sierakowski and Harsh Kumar Verma. Their work appears in journals such as Soft Matter, ACS Nano, Journal of Mechanical Design, IEEE Transactions on Consumer Electronics and Proceedings of the National Academy of Sciences.

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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