Nisha Malik
- Information Systems top 1%
- Blockchain Technology Applications and Security 4
- User Authentication and Security Systems 1
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- IoT and Edge/Fog Computing 1
- Opportunistic and Delay-Tolerant Networks 1
- Management Information Systems top 10%
- Artificial Intelligence top 10%
- Cryptography and Data Security 1
- Neural Networks and Applications 1
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- Vehicular Ad Hoc Networks (VANETs) 4
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- Hydrological Forecasting Using AI 1
- Co-authors
- Deepak PuthalSaraju P. MohantyElias KougianosChi YangGautam DasPriyadarsi NandaXiangjian HeArushi Arora
- Partner nations
- AustraliaUnited StatesIndia
In The Last Decade
Nisha Malik
8 papers receiving 666 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Information Systems 594
- Computer Networks and Communications 290
- Management Information Systems 69
- Artificial Intelligence 174
- Automotive Engineering 38
Countries citing papers authored by Nisha Malik
This map shows the geographic impact of Nisha Malik'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 Nisha Malik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nisha Malik more than expected).
Fields of papers citing papers by Nisha Malik
This network shows the impact of papers produced by Nisha Malik. 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 Nisha Malik. The network helps show where Nisha Malik may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Nisha Malik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 2 | |
| 2 | 2020 | 25 | |
| 3 | 2020 | 6 | |
| 4 | 2019 | 9 | |
| 5 | 2018 | 94 | |
| 6 | Everything You Wanted to Know About the Blockchain: Its Promise, Components, Processes, and Problemsbreakdown → | 2018 | 259 |
| 7 | The Blockchain as a Decentralized Security Framework [Future Directions]breakdown → | 2018 | 298 |
| 8 | 2017 | 6 |
About Nisha Malik
Nisha Malik is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Automotive Engineering and Environmental Engineering, having authored 8 papers that have together received 699 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (4 papers), Blockchain Technology Applications and Security (4 papers), IoT and Edge/Fog Computing (1 paper), Cryptography and Data Security (1 paper), Neural Networks and Applications (1 paper), User Authentication and Security Systems (1 paper), Hydrological Forecasting Using AI (1 paper) and Opportunistic and Delay-Tolerant Networks (1 paper). The work is most often cited by research in Information Systems (594 citations), Computer Networks and Communications (290 citations), Management Information Systems (69 citations), Artificial Intelligence (174 citations) and Automotive Engineering (38 citations). Nisha Malik has collaborated with scholars based in Australia, United States and India. Frequent co-authors include Deepak Puthal, Saraju P. Mohanty, Elias Kougianos, Chi Yang, Gautam Das, Priyadarsi Nanda, Xiangjian He, Arushi Arora and Ren Ping Liu. Their work appears in journals such as IEEE Consumer Electronics Magazine and Wireless Networks.
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.