Vikas Khullar

1.5k citations
112 papers · 980 · h-index 17

Impact in

Papers in

Vikas Khullar

92 papers receiving 944 citations

Peers

Vikas Khullar
Comparison fields: 5 of 129
  • Analytical Chemistry 99
  • Artificial Intelligence 244
  • Plant Science 249
  • Cognitive Neuroscience 110
  • Health Information Management 24
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R Surendran India
Amitabha Chakrabarty Bangladesh
Shivani Goel India
Nishant Kumar Singh India
Huizilopoztli Luna-García Mexico
Mohammed A. Al Ghamdi Saudi Arabia
Sultan Alfarhood Saudi Arabia
Selina Sharmin Bangladesh
Milon Biswas Bangladesh
Asad Masood Khattak United Arab Emirates
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Citations per year

Countries citing papers authored by Vikas Khullar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Vikas Khullar Line = papers co-authored together Vikas Khullar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201772
2 202364
3 202353
4 202350
5 202342
6 202438
7 202136
8 202134
9 202227
10 202125
11 202225
12 201924
13 202323
14 202319
15 202318
16 202318
17 202418
18 202417
19 202317
20 202117

About Vikas Khullar

Vikas Khullar is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 112 papers that have together received 980 indexed citations. Recurring topics across this work include Smart Agriculture and AI (12 papers), Privacy-Preserving Technologies in Data (11 papers), Autism Spectrum Disorder Research (11 papers), EEG and Brain-Computer Interfaces (10 papers), Spectroscopy and Chemometric Analyses (6 papers), Advanced Neural Network Applications (6 papers), IoT and Edge/Fog Computing (6 papers) and Functional Brain Connectivity Studies (6 papers). The work is most often cited by research in Analytical Chemistry (99 citations), Artificial Intelligence (244 citations), Plant Science (249 citations), Cognitive Neuroscience (110 citations) and Health Information Management (24 citations). Vikas Khullar has collaborated with scholars based in India, Saudi Arabia and Spain. Frequent co-authors include Harjit Pal Singh, Meenakshi Aggarwal, Nitin Goyal, Ambuj Kumar Agarwal, Manju Bala, Aman Deep Singh, Raj Gaurang Tiwari, Rishu Chhabra, Saravjeet Singh and Isha Kansal. Their work appears in journals such as Scientific Reports, Multimedia Tools and Applications, Sustainability, Computers, materials & continua/Computers, materials & continua (Print) and Asian Journal of Psychiatry.

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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