Madhavi Srinivasan

48.0k citations
587 papers · 41.7k indexed · 17 hit papers · h-index 113

Madhavi Srinivasan

570 papers receiving 41.1k citations

Hit Papers

Direct r...632010202620152020250500750

Peers

Madhavi Srinivasan
Comparison fields: 5 of 163
  • Electronic, Optical and Magnetic Materials 18.7k
  • Electrical and Electronic Engineering 30.5k
  • Renewable Energy, Sustainability and the Environment 6.5k
  • Automotive Engineering 4.4k
  • Polymers and Plastics 4.3k
Replace Maria‐Magdalena Titirici with:
Maria‐Magdalena Titirici United Kingdom
Stefan Kaskel Germany
Xiaobo Ji China
Xin Zhao China
Aiping Yu Canada
Huan Pang China
Qingyu Yan Singapore
Yuping Wu China
Feng Li China
Jieshan Qiu China
Madhavi Srinivasan relative to Maria‐Magdalena Titirici United Kingdom Maria‐Magdalena Titirici's profile →
Citations per field
00.5×1.5×1.9×
Maria‐Magdalena Titirici · 1×
Citations per year

Countries citing papers authored by Madhavi Srinivasan

Since Specialization
Citations

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

Fields of papers citing papers by Madhavi Srinivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Madhavi Srinivasan, 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 Madhavi Srinivasan Line = papers co-authored together Madhavi Srinivasan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 202417
4 20242
5 202345
6 202335
7 202322
8 202315
9 202315
10 2022106
11 202274
12 201928
13 20196
14 201819
15 201824
16 2017135
17 201760
18 201758
19 201741
20
Adaptive Detector Arrays for Optical Communications Receivers
20003

About Madhavi Srinivasan

Madhavi Srinivasan is a scholar working on Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Automotive Engineering, having authored 587 papers that have together received 41.7k indexed citations. Recurring topics across this work include Advancements in Battery Materials (280 papers), Supercapacitor Materials and Fabrication (178 papers), Advanced Battery Materials and Technologies (175 papers), Advanced battery technologies research (81 papers), Advanced Battery Technologies Research (61 papers), Extraction and Separation Processes (48 papers), Semiconductor materials and devices (32 papers) and Molecular Junctions and Nanostructures (26 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (18.7k citations), Electrical and Electronic Engineering (30.5k citations) and Renewable Energy, Sustainability and the Environment (6.5k citations). Madhavi Srinivasan has collaborated with scholars based in Singapore, India and China. Frequent co-authors include Vanchiappan Aravindan, Xiong Wen Lou, Linlin Li, Seeram Ramakrishna, Shengjie Peng, Qingyu Yan, Rajasekhar Balasubramanian‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Yun‐Sung Lee, Zhiyu Wang and Yan Ling Cheah. Their work appears in journals such as Chemical Reviews, Journal of the American Chemical Society and Chemical Society Reviews.

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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