Naila Rahman
- Artificial Intelligence
- Computer Networks and Communications
- Sociology and Political Science
- Hardware and Architecture top 10%
- Social Psychology
- Co-authors
- Rajeev RamanVenkatesh RamanKuldeep BhatiaSyed Fawad HussainGhulam HussainJ. Simon R. GibbsRoman Gr. MaevDavid T. Shum
- Topics
- Algorithms and Data Compression (5 papers)Intergenerational Family Dynamics and Caregiving (4 papers)DNA and Biological Computing (2 papers)
- Journals
- The International Journal of Advanced Manufacturing TechnologyTheoretical Computer ScienceSkin Research and Technology
- Partner nations
- United KingdomAustraliaPakistan
In The Last Decade
Naila Rahman
16 papers receiving 166 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 66
- Computer Networks and Communications 41
- Sociology and Political Science 31
- Hardware and Architecture 29
- Social Psychology 22
Countries citing papers authored by Naila Rahman
This map shows the geographic impact of Naila Rahman'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 Naila Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naila Rahman more than expected).
Fields of papers citing papers by Naila Rahman
This network shows the impact of papers produced by Naila Rahman. 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 Naila Rahman. The network helps show where Naila Rahman may publish in the future.
Co-authorship network of co-authors of Naila Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Naila Rahman. A scholar is included among the top collaborators of Naila Rahman 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 Naila Rahman. Naila Rahman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | Shortage of organ donation resulting from difficulties in the diagnosis of brain death by medical practitioners in Malaysia | 1 |
| 4 | 7 | |
| 5 | 1 | |
| 6 | Impairments and disability associated with arthritis and osteoporosis | 11 |
| 7 | 40 | |
| 8 | 9 | |
| 9 | Rosai Dorfman disease. | 1 |
| 10 | 18 | |
| 11 | 14 | |
| 12 | 2 | |
| 13 | An Experimental Study of Word-level Parallelism in Some Sorting Algorithms. | 1 |
| 14 | 65 | |
| 15 | 4 | |
| 16 | 3 |
About Naila Rahman
Naila Rahman is a scholar working on Hardware and Architecture, Computer Networks and Communications and Critical Care and Intensive Care Medicine, having authored 16 papers that have together received 185 indexed citations. Recurring topics across this work include Algorithms and Data Compression (5 papers), Intergenerational Family Dynamics and Caregiving (4 papers) and DNA and Biological Computing (2 papers). The work is most often cited by research in Hardware and Architecture (29 citations), Artificial Intelligence (66 citations) and Computer Networks and Communications (41 citations). Naila Rahman has collaborated with scholars based in United Kingdom, Australia and Pakistan. Frequent co-authors include Rajeev Raman, Venkatesh Raman, Kuldeep Bhatia, Syed Fawad Hussain, Ghulam Hussain, J. Simon R. Gibbs, Roman Gr. Maev, David T. Shum, E. Maeva and Eugene Malyarenko. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Theoretical Computer Science and Skin Research and Technology.
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.