Dhananjay D. Kumbhar
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Materials Chemistry
- Polymers and Plastics top 10%
- Artificial Intelligence
- Co-authors
- Tukaram D. DongaleJun Hong ParkRajanish K. KamatTae Geun KimKiran A. NirmalSantosh S. SutarSang Yong NamNavaj B. Mullani
- Topics
- Advanced Memory and Neural Computing (24 papers)Neuroscience and Neural Engineering (10 papers)Photoreceptor and optogenetics research (7 papers)
- Cited by
- Cellular and Molecular NeurosciencePolymers and PlasticsElectrical and Electronic Engineering
- Partner nations
- IndiaSouth KoreaSaudi Arabia
In The Last Decade
Dhananjay D. Kumbhar
26 papers receiving 419 citations
Peers
Comparison fields: 5 of 29
- Electrical and Electronic Engineering 394
- Cellular and Molecular Neuroscience 146
- Materials Chemistry 117
- Polymers and Plastics 101
- Artificial Intelligence 43
Countries citing papers authored by Dhananjay D. Kumbhar
This map shows the geographic impact of Dhananjay D. Kumbhar'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 Dhananjay D. Kumbhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dhananjay D. Kumbhar more than expected).
Fields of papers citing papers by Dhananjay D. Kumbhar
This network shows the impact of papers produced by Dhananjay D. Kumbhar. 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 Dhananjay D. Kumbhar. The network helps show where Dhananjay D. Kumbhar may publish in the future.
Co-authorship network of co-authors of Dhananjay D. Kumbhar
This figure shows the co-authorship network connecting the top 25 collaborators of Dhananjay D. Kumbhar. A scholar is included among the top collaborators of Dhananjay D. Kumbhar 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 Dhananjay D. Kumbhar. Dhananjay D. Kumbhar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 18 | |
| 9 | 2 | |
| 10 | 26 | |
| 11 | 4 | |
| 12 | 8 | |
| 13 | 42 | |
| 14 | 13 | |
| 15 | 37 | |
| 16 | 5 | |
| 17 | 73 | |
| 18 | 25 | |
| 19 | 8 | |
| 20 | 2 |
About Dhananjay D. Kumbhar
Dhananjay D. Kumbhar is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Polymers and Plastics, having authored 27 papers that have together received 426 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (24 papers), Neuroscience and Neural Engineering (10 papers) and Photoreceptor and optogenetics research (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (146 citations), Polymers and Plastics (101 citations) and Electrical and Electronic Engineering (394 citations). Dhananjay D. Kumbhar has collaborated with scholars based in India, South Korea and Saudi Arabia. Frequent co-authors include Tukaram D. Dongale, Jun Hong Park, Rajanish K. Kamat, Tae Geun Kim, Kiran A. Nirmal, Santosh S. Sutar, Sang Yong Nam, Navaj B. Mullani, Shaibal Mukherjee and Padma B. Dandge. Their work appears in journals such as Advanced Materials, Advanced Functional Materials and ACS Applied Materials & Interfaces.
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.