Basit Raza
Impact in
Papers in
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- Advanced Database Systems and Queries 14
- Energy Efficient Wireless Sensor Networks 5
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- AI in cancer detection 10
- Text and Document Classification Technologies 5
- Advanced Software Engineering Methodologies 5
- Co-authors
- Muhammad Faheem (21 shared papers)Ahmad Kamran Malik (20 shared papers)Ahmad Raza Shahid (18 shared papers)Rizwan Aslam Butt (12 shared papers)Md Asri Ngadi (10 shared papers)Vehbi Çağrı Güngör (9 shared papers)Muhammad Waqar Ashraf (5 shared papers)Waqar Ali (1 shared paper)
In The Last Decade
Basit Raza
81 papers receiving 2.3k citations
Basit Raza's Hit Papers
Peers
Comparison fields: 5 of 109
- Marketing 227
- Neurology 136
- Artificial Intelligence 611
- Computer Networks and Communications 337
- Information Systems 270
Countries citing papers authored by Basit Raza
This map shows the geographic impact of Basit Raza'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 Basit Raza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Basit Raza more than expected).
Fields of papers citing papers by Basit Raza
This network shows the impact of papers produced by Basit Raza. 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 Basit Raza. The network helps show where Basit Raza may publish in the future.
Co-authors
The 25 scholars most cited alongside Basit Raza, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 321 | |
| 2 | A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector Hit paper breakdown → | 2019 | 270 |
| 3 | 2019 | 250 | |
| 4 | 2022 | 87 | |
| 5 | 2022 | 78 | |
| 6 | 2021 | 71 | |
| 7 | 2020 | 68 | |
| 8 | 2020 | 58 | |
| 9 | 2019 | 55 | |
| 10 | 2017 | 53 | |
| 11 | 2018 | 53 | |
| 12 | 2024 | 52 | |
| 13 | 2020 | 48 | |
| 14 | 2021 | 44 | |
| 15 | 2022 | 40 | |
| 16 | 2018 | 39 | |
| 17 | 2018 | 39 | |
| 18 | 2020 | 39 | |
| 19 | 2019 | 37 | |
| 20 | 2021 | 35 |
About Basit Raza
Basit Raza is a scholar working on Computer Networks and Communications, Artificial Intelligence, Neurology, Information Systems and Sociology and Political Science, having authored 82 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (14 papers), AI in cancer detection (10 papers), Access Control and Trust (7 papers), Brain Tumor Detection and Classification (7 papers), Energy Efficient Wireless Sensor Networks (5 papers), Text and Document Classification Technologies (5 papers), Data Mining and Machine Learning Applications (5 papers) and Advanced Software Engineering Methodologies (5 papers). The work is most often cited by research in Marketing (227 citations), Neurology (136 citations), Artificial Intelligence (611 citations), Computer Networks and Communications (337 citations) and Information Systems (270 citations). Basit Raza has collaborated with scholars based in Pakistan, Malaysia and Türkiye. Frequent co-authors include Muhammad Faheem, Ahmad Kamran Malik, Ahmad Raza Shahid, Rizwan Aslam Butt, Md Asri Ngadi, Vehbi Çağrı Güngör, Muhammad Waqar Ashraf, Waqar Ali, Anwar Ur Rehman and Muhammad Imran. Their work appears in journals such as IEEE Access, International Journal of Imaging Systems and Technology, Sensors, Computers in Biology and Medicine and Journal of Imaging Informatics in Medicine.
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.