Vikas Khullar
Impact in
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Sentiment Analysis and Opinion Mining
Papers in
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- Privacy-Preserving Technologies in Data 10
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- Autism Spectrum Disorder Research 10
- EEG and Brain-Computer Interfaces 7
- Co-authors
- Harjit Singh (19 shared papers)Nitin Goyal (14 shared papers)Aman Singh (4 shared papers)Manju Bala (7 shared papers)Ambuj Kumar Agarwal (8 shared papers)Saravjeet Singh (1 shared paper)Rishu Chhabra (3 shared papers)Raj Gaurang Tiwari (5 shared papers)
- Journals
- Scientific Reports (3 papers)Sustainability (2 papers)Asian Journal of Psychiatry (2 papers)Multimedia Tools and Applications (2 papers)Information Sciences (1 paper)
- Partner nations
- IndiaSpainSaudi Arabia
In The Last Decade
Vikas Khullar
76 papers receiving 632 citations
Peers
Comparison fields: 5 of 114
- Analytical Chemistry 74
- Artificial Intelligence 179
- Plant Science 191
- Cognitive Neuroscience 82
- Health Information Management 16
Countries citing papers authored by Vikas Khullar
This map shows the geographic impact of Vikas Khullar'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 Vikas Khullar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikas Khullar more than expected).
Fields of papers citing papers by Vikas Khullar
This network shows the impact of papers produced by Vikas Khullar. 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 Vikas Khullar. The network helps show where Vikas Khullar may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikas Khullar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 55 | |
| 2 | 2023 | 50 | |
| 3 | 2023 | 47 | |
| 4 | 2023 | 38 | |
| 5 | 2024 | 32 | |
| 6 | 2023 | 29 | |
| 7 | 2021 | 26 | |
| 8 | 2022 | 21 | |
| 9 | 2021 | 21 | |
| 10 | 2019 | 20 | |
| 11 | 2022 | 18 | |
| 12 | 2023 | 15 | |
| 13 | 2024 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2021 | 13 | |
| 16 | 2024 | 12 | |
| 17 | 2023 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2023 | 11 |
About Vikas Khullar
Vikas Khullar is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 88 papers that have together received 661 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (10 papers), Smart Agriculture and AI (10 papers), Autism Spectrum Disorder Research (10 papers), EEG and Brain-Computer Interfaces (7 papers), IoT and Edge/Fog Computing (6 papers), Spectroscopy and Chemometric Analyses (6 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Water Quality Monitoring Technologies (5 papers). The work is most often cited by research in Analytical Chemistry (74 citations), Artificial Intelligence (179 citations), Plant Science (191 citations), Cognitive Neuroscience (82 citations) and Health Information Management (16 citations). Vikas Khullar has collaborated with scholars based in India, Spain and Saudi Arabia. Frequent co-authors include Harjit Singh, Nitin Goyal, Aman Singh, Manju Bala, Ambuj Kumar Agarwal, Saravjeet Singh, Rishu Chhabra, Raj Gaurang Tiwari, Isha Kansal and Marwan Ali Albahar. Their work appears in journals such as Scientific Reports, Sustainability, Asian Journal of Psychiatry, Multimedia Tools and Applications and Information Sciences.
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.