Vijay Kakani
- Electrical and Electronic Engineering top 10%
- Electronic, Optical and Magnetic Materials top 10%
- Biomedical Engineering
- Materials Chemistry
- Polymers and Plastics top 10%
- Co-authors
- Hakil KimPraveen Kumar BasiviVisweswara Rao PasupuletiVan Huan NguyenSivalingam RameshHeung Soo KimChinna BathulaHemraj M. Yadav
- Topics
- Supercapacitor Materials and Fabrication (11 papers)Conducting polymers and applications (10 papers)Advanced Neural Network Applications (5 papers)
- Cited by
- Electronic, Optical and Magnetic MaterialsPolymers and PlasticsHealth Information Management
- Partner nations
- South KoreaIndiaMalaysia
In The Last Decade
Vijay Kakani
41 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Electrical and Electronic Engineering 322
- Electronic, Optical and Magnetic Materials 320
- Biomedical Engineering 184
- Materials Chemistry 134
- Polymers and Plastics 131
Countries citing papers authored by Vijay Kakani
This map shows the geographic impact of Vijay Kakani'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 Vijay Kakani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijay Kakani more than expected).
Fields of papers citing papers by Vijay Kakani
This network shows the impact of papers produced by Vijay Kakani. 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 Vijay Kakani. The network helps show where Vijay Kakani may publish in the future.
Co-authorship network of co-authors of Vijay Kakani
This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Kakani. A scholar is included among the top collaborators of Vijay Kakani 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 Vijay Kakani. Vijay Kakani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Hexagonal boron nitride composite film based triboelectric nanogenerator for energy harvesting and machine learning assisted handwriting recognitionbreakdown → | 45 |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 9 | |
| 6 | 35 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 32 | |
| 12 | 5 | |
| 13 | 40 | |
| 14 | 17 | |
| 15 | 24 | |
| 16 | 8 | |
| 17 | 55 | |
| 18 | 17 | |
| 19 | 90 | |
| 20 | 8 |
About Vijay Kakani
Vijay Kakani is a scholar working on Computer Vision and Pattern Recognition, Polymers and Plastics and Electronic, Optical and Magnetic Materials, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Supercapacitor Materials and Fabrication (11 papers), Conducting polymers and applications (10 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (320 citations), Polymers and Plastics (131 citations) and Health Information Management (37 citations). Vijay Kakani has collaborated with scholars based in South Korea, India and Malaysia. Frequent co-authors include Hakil Kim, Praveen Kumar Basivi, Visweswara Rao Pasupuleti, Van Huan Nguyen, Sivalingam Ramesh, Heung Soo Kim, Chinna Bathula, Hemraj M. Yadav, Xuenan Cui and Yuvaraj Haldorai. Their work appears in journals such as Scientific Reports, Nano Energy and IEEE Access.
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.