Deepti Kakkar
- Electrical and Electronic Engineering
- Biomedical Engineering
- Cognitive Neuroscience top 10%
- Molecular Biology
- Computer Networks and Communications
- Co-authors
- Tanu WadheraBalwinder RajGirish WadhwaNaveen KumarNonita SharmaAshish RamanMonika ManglaRajneesh Rani
- Topics
- EEG and Brain-Computer Interfaces (11 papers)Vehicular Ad Hoc Networks (VANETs) (10 papers)Autism Spectrum Disorder Research (10 papers)
- Partner nations
- India
In The Last Decade
Deepti Kakkar
45 papers receiving 442 citations
Peers
Comparison fields: 5 of 90
- Electrical and Electronic Engineering 203
- Biomedical Engineering 129
- Cognitive Neuroscience 119
- Molecular Biology 60
- Computer Networks and Communications 51
Countries citing papers authored by Deepti Kakkar
This map shows the geographic impact of Deepti Kakkar'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 Deepti Kakkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepti Kakkar more than expected).
Fields of papers citing papers by Deepti Kakkar
This network shows the impact of papers produced by Deepti Kakkar. 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 Deepti Kakkar. The network helps show where Deepti Kakkar may publish in the future.
Co-authorship network of co-authors of Deepti Kakkar
This figure shows the co-authorship network connecting the top 25 collaborators of Deepti Kakkar. A scholar is included among the top collaborators of Deepti Kakkar 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 Deepti Kakkar. Deepti Kakkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 32 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 14 | |
| 16 | 17 | |
| 17 | 1 | |
| 18 | 22 | |
| 19 | 5 | |
| 20 | 6 |
About Deepti Kakkar
Deepti Kakkar is a scholar working on Cognitive Neuroscience, Signal Processing and Computer Networks and Communications, having authored 49 papers that have together received 462 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Vehicular Ad Hoc Networks (VANETs) (10 papers) and Autism Spectrum Disorder Research (10 papers). The work is most often cited by research in Cognitive Neuroscience (119 citations), Bioengineering (34 citations) and Electrical and Electronic Engineering (203 citations). Deepti Kakkar has collaborated with scholars based in India. Frequent co-authors include Tanu Wadhera, Balwinder Raj, Girish Wadhwa, Naveen Kumar, Nonita Sharma, Ashish Raman, Monika Mangla, Rajneesh Rani, Manish Bansal and Sachi Nandan Mohanty. Their work appears in journals such as Applied Physics A, Biomedical Signal Processing and Control and Multimedia Tools and Applications.
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.