Naila Rahman

11 papers and 137 indexed citations i.

About

Naila Rahman is a scholar working on Sociology and Political Science, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Naila Rahman has authored 11 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Sociology and Political Science, 3 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Naila Rahman’s work include Intergenerational Family Dynamics and Caregiving (4 papers), Algorithms and Data Compression (3 papers) and Elder Abuse and Neglect (2 papers). Naila Rahman is often cited by papers focused on Intergenerational Family Dynamics and Caregiving (4 papers), Algorithms and Data Compression (3 papers) and Elder Abuse and Neglect (2 papers). Naila Rahman collaborates with scholars based in United Kingdom, Pakistan and Australia. Naila Rahman's co-authors include Rajeev Raman, Venkatesh Raman, Ghulam Hussain, Syed Fawad Hussain, J. Simon R. Gibbs, Eugene Malyarenko, Hina Qureshi, Roman Gr. Maev, E. Maeva and David T. Shum and has published in prestigious journals such as The International Journal of Advanced Manufacturing Technology, Theoretical Computer Science and Skin Research and Technology.

In The Last Decade

Co-authorship network of co-authors of Naila Rahman i

Fields of papers citing papers by Naila Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Naila Rahman

Since Specialization
Citations

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).

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.

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