Kashif Munir
Impact in
-
- Artificial Intelligence in Healthcare
- Health Informatics top 10%
Papers in
-
- Cloud Data Security Solutions 6
- Cloud Computing and Resource Management 5
- Co-authors
- Mubarak Almutairi (15 shared papers)Ali Raza (15 shared papers)Furqan Rustam (3 shared papers)Imran Ashraf (2 shared papers)Hafeez Ur Rehman Siddiqui (2 shared papers)Naila Aslam (1 shared paper)Abid Ishaq (1 shared paper)Rajasekhar Chaganti (1 shared paper)
- Journals
- IEEE Access (19 papers)Applied Sciences (4 papers)PLoS ONE (3 papers)Scientific Reports (3 papers)Vaccines (1 paper)
- Partner nations
- PakistanSaudi ArabiaSouth Korea
In The Last Decade
Kashif Munir
39 papers receiving 691 citations
Peers
Comparison fields: 5 of 104
- Health Information Management 87
- Health Informatics 18
- Organizational Behavior and Human Resource Management 73
- Information Systems 161
- Artificial Intelligence 209
Countries citing papers authored by Kashif Munir
This map shows the geographic impact of Kashif Munir'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 Kashif Munir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kashif Munir more than expected).
Fields of papers citing papers by Kashif Munir
This network shows the impact of papers produced by Kashif Munir. 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 Kashif Munir. The network helps show where Kashif Munir may publish in the future.
Co-authors
The 25 scholars most cited alongside Kashif Munir, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 107 | |
| 2 | 2022 | 83 | |
| 3 | 2022 | 56 | |
| 4 | 2022 | 49 | |
| 5 | 2022 | 44 | |
| 6 | 2023 | 42 | |
| 7 | 2022 | 41 | |
| 8 | 2013 | 38 | |
| 9 | 2023 | 37 | |
| 10 | 2024 | 24 | |
| 11 | 2022 | 23 | |
| 12 | 2022 | 18 | |
| 13 | Security Threats/Attacks Present in Cloud Environment | 2012 | 15 |
| 14 | 2013 | 14 | |
| 15 | 2024 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2022 | 11 | |
| 18 | 2015 | 11 | |
| 19 | 2022 | 10 | |
| 20 | 2024 | 10 |
About Kashif Munir
Kashif Munir is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Plant Science and Health Information Management, having authored 45 papers that have together received 748 indexed citations. Recurring topics across this work include Cloud Data Security Solutions (6 papers), Smart Agriculture and AI (6 papers), Cloud Computing and Resource Management (5 papers), Artificial Intelligence in Healthcare (4 papers), Advanced Malware Detection Techniques (4 papers), Spectroscopy and Chemometric Analyses (3 papers), COVID-19 diagnosis using AI (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Health Information Management (87 citations), Health Informatics (18 citations), Organizational Behavior and Human Resource Management (73 citations), Information Systems (161 citations) and Artificial Intelligence (209 citations). Kashif Munir has collaborated with scholars based in Pakistan, Saudi Arabia and South Korea. Frequent co-authors include Mubarak Almutairi, Ali Raza, Furqan Rustam, Imran Ashraf, Hafeez Ur Rehman Siddiqui, Naila Aslam, Abid Ishaq, Rajasekhar Chaganti, Ernesto Lee and Imran Ashraf. Their work appears in journals such as IEEE Access, Applied Sciences, PLoS ONE, Scientific Reports and Vaccines.
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.