Madhu Bhaskaran

16.5k total citations · 2 hit papers
270 papers, 11.5k citations indexed

About

Madhu Bhaskaran is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Madhu Bhaskaran has authored 270 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Electrical and Electronic Engineering, 81 papers in Materials Chemistry and 66 papers in Biomedical Engineering. Recurrent topics in Madhu Bhaskaran's work include Metamaterials and Metasurfaces Applications (47 papers), 2D Materials and Applications (28 papers) and Advanced Memory and Neural Computing (26 papers). Madhu Bhaskaran is often cited by papers focused on Metamaterials and Metasurfaces Applications (47 papers), 2D Materials and Applications (28 papers) and Advanced Memory and Neural Computing (26 papers). Madhu Bhaskaran collaborates with scholars based in Australia, United States and India. Madhu Bhaskaran's co-authors include Sharath Sriram, Sumeet Walia, Sivacarendran Balendhran, Withawat Withayachumnankul, Hussein Nili, Kourosh Kalantar‐Zadeh, Christophe Fumeaux, Taimur Ahmed, Serge Zhuiykov and Jian Zhen Ou and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.

In The Last Decade

Madhu Bhaskaran

259 papers receiving 11.2k citations

Hit Papers

Elemental Analogues of Graphene: Silicene, Germanene, Sta... 2014 2026 2018 2022 2014 2019 200 400 600

Peers

Madhu Bhaskaran
Comparison fields: 5 of 163
  • Electrical and Electronic Engineering 5.1k
  • Materials Chemistry 4.3k
  • Electronic, Optical and Magnetic Materials 3.2k
  • Biomedical Engineering 2.4k
  • Aerospace Engineering 1.6k
Replace Yan Liu with:
Yan Liu China
Xiaohui Li China
Zhihong Chen United States
Qiang Li China
Arnan Mitchell Australia
Min Gao China
Jiyan Dai Hong Kong
Yating Zhang China
Hui Huang China
Yu Wang China
Yan Liu China View profile →
Citations per field, relative to Madhu Bhaskaran
Madhu Bhaskaran · 1×
Citations per year, relative to Madhu Bhaskaran
Madhu Bhaskaran · 1×

Countries citing papers authored by Madhu Bhaskaran

Since Specialization
Citations

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

Fields of papers citing papers by Madhu Bhaskaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhu Bhaskaran

This figure shows the co-authorship network connecting the top 25 collaborators of Madhu Bhaskaran. A scholar is included among the top collaborators of Madhu Bhaskaran 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 Madhu Bhaskaran. Madhu Bhaskaran 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
# Work Indexed citations
1 0
2 3
3 0
4 6
5 10
6 2
7 1
8 31
9 3
10 0
11 25
12 172
13 40
14 52
15 20
16 37
17 19
18 63
19 21
20 117

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026