Vikram Bali

52 papers receiving 443 citations

Peers

Vikram Bali
Comparison fields: 5 of 88
  • Computer Science Applications 53
  • Health Information Management 27
  • Information Systems 118
  • Artificial Intelligence 133
  • Computer Networks and Communications 94
Replace Ala Abdulsalam Alarood with:
Ala Abdulsalam Alarood Saudi Arabia
Shuzlina Abdul-Rahman Malaysia
Rahat Iqbal United Kingdom
Amril Nazir United Arab Emirates
Yuji Roh South Korea
Luís Cruz Netherlands
Yousef Farhaoui Morocco
Nilay Khare India
Xuejiao Zhao China
Abhishek Singhal India
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Citations per field
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Citations per year

Countries citing papers authored by Vikram Bali

Since Specialization
Citations

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

Fields of papers citing papers by Vikram Bali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vikram Bali, 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 Vikram Bali Line = papers co-authored together Vikram Bali links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202142
2 201830
3 202330
4 201929
5 202228
6 201727
7 202225
8 202022
9 202022
10 201321
11 202020
12 201917
13 202017
14 202116
15 201915
16 201913
17 202213
18 202113
19 202212
20 202211

About Vikram Bali

Vikram Bali is a scholar working on Electrical and Electronic Engineering, Information Systems, Computer Networks and Communications, Artificial Intelligence and Management Information Systems, having authored 59 papers that have together received 537 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (8 papers), Energy Load and Power Forecasting (6 papers), COVID-19 diagnosis using AI (4 papers), Antenna Design and Analysis (4 papers), Online Learning and Analytics (4 papers), Imbalanced Data Classification Techniques (4 papers), IoT and GPS-based Vehicle Safety Systems (3 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Computer Science Applications (53 citations), Health Information Management (27 citations), Information Systems (118 citations), Artificial Intelligence (133 citations) and Computer Networks and Communications (94 citations). Vikram Bali has collaborated with scholars based in India, Bahrain and Singapore. Frequent co-authors include Kakoli Banerjee, Abhinav Juneja, Prakash C. Jha, Sapna Juneja, K.K. Paliwal, Vishal Bhatnagar, R.P. Mohanty, Parma Nand, Sita Rani and Mala Kalra. Their work appears in journals such as Electronics, Ain Shams Engineering Journal, Journal of Cleaner Production, Benchmarking An International Journal and Wireless Personal Communications.

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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