Gauhar Ali
Impact in
- Information Systems top 5%
- Blockchain Technology Applications and Security
- User Authentication and Security Systems
-
- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
Papers in
-
- Blockchain Technology Applications and Security 6
-
- Vehicular Ad Hoc Networks (VANETs) 5
- Co-authors
- Naveed Ahmad (9 shared papers)Yue Cao (6 shared papers)Haitham Cruickshank (3 shared papers)Mohammed ElAffendi (20 shared papers)Muhammad Asif (1 shared paper)Inayat Khan (6 shared papers)Waheed ur Rehman (2 shared papers)Saeed Ur Rahman (2 shared papers)
- Journals
- IEEE Access (5 papers)Scientific Reports (2 papers)Electronics (2 papers)Applied Sciences (2 papers)Results in Engineering (2 papers)
- Partner nations
- Saudi ArabiaPakistanChina
In The Last Decade
Gauhar Ali
29 papers receiving 350 citations
Peers
Comparison fields: 5 of 54
- Information Systems 191
- Computer Networks and Communications 184
- Artificial Intelligence 122
- Computer Vision and Pattern Recognition 40
- Signal Processing 19
Countries citing papers authored by Gauhar Ali
This map shows the geographic impact of Gauhar Ali'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 Gauhar Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gauhar Ali more than expected).
Fields of papers citing papers by Gauhar Ali
This network shows the impact of papers produced by Gauhar Ali. 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 Gauhar Ali. The network helps show where Gauhar Ali may publish in the future.
Co-authors
The 25 scholars most cited alongside Gauhar Ali, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 66 | |
| 2 | 2019 | 66 | |
| 3 | 2022 | 38 | |
| 4 | 2018 | 31 | |
| 5 | 2023 | 21 | |
| 6 | 2022 | 20 | |
| 7 | 2019 | 16 | |
| 8 | 2019 | 11 | |
| 9 | 2022 | 11 | |
| 10 | 2018 | 10 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2025 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2025 | 3 |
About Gauhar Ali
Gauhar Ali is a scholar working on Information Systems, Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 362 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (6 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers), Network Security and Intrusion Detection (4 papers), Advanced Malware Detection Techniques (3 papers), Privacy-Preserving Technologies in Data (3 papers), Cryptography and Data Security (2 papers), Autonomous Vehicle Technology and Safety (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Information Systems (191 citations), Computer Networks and Communications (184 citations), Artificial Intelligence (122 citations), Computer Vision and Pattern Recognition (40 citations) and Signal Processing (19 citations). Gauhar Ali has collaborated with scholars based in Saudi Arabia, Pakistan and China. Frequent co-authors include Naveed Ahmad, Yue Cao, Haitham Cruickshank, Mohammed ElAffendi, Muhammad Asif, Inayat Khan, Waheed ur Rehman, Saeed Ur Rahman, Inam Ullah and Mosleh Hmoud Al-Adhaileh. Their work appears in journals such as IEEE Access, Scientific Reports, Electronics, Applied Sciences and Results in Engineering.
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.