Vikas Hassija

611 citations
17 papers · 264 indexed · 1 hit paper · h-index 9
Topics
Privacy-Preserving Technologies in Data (3 papers)IoT and Edge/Fog Computing (2 papers)Digital Transformation in Industry (2 papers)

In The Last Decade

Vikas Hassija

16 papers receiving 249 citations

Hit Papers

Privacy and Security Concerns in Generative AI: A Compreh...2024202620252024255075

Peers

Vikas Hassija
Comparison fields: 5 of 85
  • Artificial Intelligence 79
  • Information Systems 60
  • Computer Networks and Communications 36
  • Computer Vision and Pattern Recognition 30
  • Human-Computer Interaction 28
Replace Pierre Andrews with:
Pierre Andrews Italy
Bosheng Ding Singapore
Rubia Fatima China
Austin Z. Henley United States
Doris Xin United States
A. Sreekumar India
Anthony Levas United States
Shicheng Wan China
Michael Wolverton United States
Viraj Kumar India
Vikas Hassija relative to Pierre Andrews Italy Pierre Andrews's profile →
Citations per field
00.5×10×15×18.7×
Pierre Andrews · 1×
Citations per year

Countries citing papers authored by Vikas Hassija

Since Specialization
Citations

This map shows the geographic impact of Vikas Hassija'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 Hassija with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikas Hassija more than expected).

Fields of papers citing papers by Vikas Hassija

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vikas Hassija. 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 Hassija. The network helps show where Vikas Hassija may publish in the future.

Co-authorship network of co-authors of Vikas Hassija

This figure shows the co-authorship network connecting the top 25 collaborators of Vikas Hassija. A scholar is included among the top collaborators of Vikas Hassija 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 Vikas Hassija. Vikas Hassija is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 5
3 39
4 17
5
Privacy and Security Concerns in Generative AI: A Comprehensive Surveybreakdown →
86
6 2
7 0
8 7
9 3
10 16
11 8
12 27
13 8
14 20
15 13
16 6
17 6

About Vikas Hassija

Vikas Hassija is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 264 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (3 papers), IoT and Edge/Fog Computing (2 papers) and Digital Transformation in Industry (2 papers). The work is most often cited by research in Health Informatics (15 citations), Human-Computer Interaction (28 citations) and Information Systems (60 citations). Vikas Hassija has collaborated with scholars based in India, Singapore and United Arab Emirates. Frequent co-authors include Vinay Chamola, Anushka Singh, Biplab Sikdar, Amit Pandey, Mohsen Guizani, GSS Chalapathi, Siva Sai, F. Richard Yu, Amir Hussain and Sherali Zeadally. Their work appears in journals such as IEEE Access, IEEE Transactions on Consumer Electronics and Cognitive Computation.

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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