Disha Chakravarty

438 total citations
8 papers, 359 citations indexed

About

Disha Chakravarty is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Disha Chakravarty has authored 8 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 5 papers in Electronic, Optical and Magnetic Materials and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Disha Chakravarty's work include Supercapacitor Materials and Fabrication (3 papers), MXene and MAX Phase Materials (3 papers) and Graphene research and applications (2 papers). Disha Chakravarty is often cited by papers focused on Supercapacitor Materials and Fabrication (3 papers), MXene and MAX Phase Materials (3 papers) and Graphene research and applications (2 papers). Disha Chakravarty collaborates with scholars based in India, Australia and Germany. Disha Chakravarty's co-authors include Dattatray J. Late, Mahendra A. More, Chandra Sekhar Rout, Ruchita T. Khare, Kusha Kumar Naik, Ranjit Thapa, Kavita Joshi, Sachin R. Suryawanshi, Pravin S. Walke and Rishi Raj and has published in prestigious journals such as Applied Physics Letters, RSC Advances and Journal of the Science of Food and Agriculture.

In The Last Decade

Disha Chakravarty

8 papers receiving 349 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Disha Chakravarty India 7 245 149 132 83 74 8 359
Ruyu Shi China 8 217 0.9× 244 1.6× 82 0.6× 76 0.9× 82 1.1× 17 387
Guitai Wu China 11 158 0.6× 185 1.2× 48 0.4× 100 1.2× 38 0.5× 17 337
Fernando Arteaga-Cardona Mexico 12 190 0.8× 54 0.4× 52 0.4× 125 1.5× 56 0.8× 17 330
Zongsheng Cao China 11 162 0.7× 189 1.3× 147 1.1× 88 1.1× 121 1.6× 14 382
M.E. Raja Saravanan India 10 227 0.9× 166 1.1× 81 0.6× 41 0.5× 64 0.9× 27 350
B. Arjun Kumar India 12 193 0.8× 165 1.1× 111 0.8× 35 0.4× 156 2.1× 23 349
Yunfei Shen China 11 82 0.3× 252 1.7× 92 0.7× 37 0.4× 46 0.6× 19 324
Claudia C. Villarreal United States 9 154 0.6× 137 0.9× 37 0.3× 108 1.3× 30 0.4× 17 304
S. Meenakshi Sundar India 13 348 1.4× 221 1.5× 95 0.7× 30 0.4× 114 1.5× 33 440
T. Dayakar India 9 202 0.8× 170 1.1× 29 0.2× 85 1.0× 28 0.4× 12 354

Countries citing papers authored by Disha Chakravarty

Since Specialization
Citations

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

Fields of papers citing papers by Disha Chakravarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Disha Chakravarty

This figure shows the co-authorship network connecting the top 25 collaborators of Disha Chakravarty. A scholar is included among the top collaborators of Disha Chakravarty 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 Disha Chakravarty. Disha Chakravarty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Saini, Parveen, et al.. (2016). Excellent electromagnetic interference shielding effectiveness of chemically reduced graphitic oxide paper at 101 GHz*. The European Physical Journal B. 89(6). 7 indexed citations
2.
Chakravarty, Disha, et al.. (2015). Graphene quantum dots as enhanced plant growth regulators: effects on coriander and garlic plants. Journal of the Science of Food and Agriculture. 95(13). 2772–2778. 110 indexed citations
3.
Chakravarty, Disha & Dattatray J. Late. (2015). Exfoliation of Bulk Inorganic Layered Materials into Nanosheets by the Rapid Quenching Method and Their Electrochemical Performance. European Journal of Inorganic Chemistry. 2015(11). 1973–1980. 37 indexed citations
4.
Chakravarty, Disha & Dattatray J. Late. (2015). Microwave and hydrothermal syntheses of WSe2 micro/nanorods and their application in supercapacitors. RSC Advances. 5(28). 21700–21709. 83 indexed citations
5.
Khare, Ruchita T., Mahendra A. More, & Disha Chakravarty. (2015). Transformation of ZnO nanorods into nanotubes and their field emission studies. Modern Physics Letters B. 29(06n07). 1540044–1540044. 2 indexed citations
6.
Suryawanshi, Sachin R., Disha Chakravarty, Pravin S. Walke, et al.. (2015). Pt-nanoparticle functionalized carbon nano-onions for ultra-high energy supercapacitors and enhanced field emission behaviour. RSC Advances. 5(99). 80990–80997. 50 indexed citations
7.
Chakravarty, Disha, et al.. (2015). Microwave‐Assisted Synthesis of Few‐Layered TaTe2 and Its Application as Supercapacitor. European Journal of Inorganic Chemistry. 2015(9). 20 indexed citations
8.
Naik, Kusha Kumar, Ruchita T. Khare, Disha Chakravarty, et al.. (2014). Field emission properties of ZnO nanosheet arrays. Applied Physics Letters. 105(23). 50 indexed citations

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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