M. Asif Naeem
- Artificial Intelligence top 10%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Management Science and Operations Research top 10%
- Co-authors
- Farhaan MirzaRussel PearsGillian DobbieImran Sarwar BajwaMinh NguyenShafiq AlamNoreen JamilMuhammad Aleem
- Topics
- Advanced Database Systems and Queries (22 papers)Data Management and Algorithms (18 papers)Data Stream Mining Techniques (12 papers)
- Partner nations
- New ZealandPakistanUnited Kingdom
In The Last Decade
M. Asif Naeem
75 papers receiving 582 citations
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 187
- Computer Networks and Communications 181
- Information Systems 121
- Signal Processing 105
- Management Science and Operations Research 70
Countries citing papers authored by M. Asif Naeem
This map shows the geographic impact of M. Asif Naeem'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 M. Asif Naeem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Asif Naeem more than expected).
Fields of papers citing papers by M. Asif Naeem
This network shows the impact of papers produced by M. Asif Naeem. 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 M. Asif Naeem. The network helps show where M. Asif Naeem may publish in the future.
Co-authorship network of co-authors of M. Asif Naeem
This figure shows the co-authorship network connecting the top 25 collaborators of M. Asif Naeem. A scholar is included among the top collaborators of M. Asif Naeem based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Asif Naeem. M. Asif Naeem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 18 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | Optimising HYBRIDJOIN to Process Semi-Stream Data in Near-real-time Data Warehousing | 3 |
| 14 | 10 | |
| 15 | 9 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 9 | |
| 19 | Processing Large Data Sets using a Cluster Computing Framework 1 | 1 |
| 20 | Optimised X-HYBRIDJOIN for near-real-time data warehousing | 4 |
About M. Asif Naeem
M. Asif Naeem is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 80 papers that have together received 613 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (22 papers), Data Management and Algorithms (18 papers) and Data Stream Mining Techniques (12 papers). The work is most often cited by research in Signal Processing (105 citations), Computer Networks and Communications (181 citations) and Artificial Intelligence (187 citations). M. Asif Naeem has collaborated with scholars based in New Zealand, Pakistan and United Kingdom. Frequent co-authors include Farhaan Mirza, Russel Pears, Gillian Dobbie, Imran Sarwar Bajwa, Minh Nguyen, Shafiq Alam, Noreen Jamil, Muhammad Aleem, Ali Tahir and Patricia Riddle. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.
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.