Rohana Mahmud
- Artificial Intelligence top 10%
- Information Systems top 10%
- Education
- Developmental and Educational Psychology
- Computer Science Applications top 10%
- Co-authors
- Norisma IdrisAndrew Thomas BimbaRam Gopal RajAhmed Al-HunaiyyanLiyana ShuibSalinah Ja’afarAbdullah GaniDirk Thorleuchter
- Topics
- Topic Modeling (12 papers)Natural Language Processing Techniques (9 papers)Text and Document Classification Technologies (5 papers)
In The Last Decade
Rohana Mahmud
23 papers receiving 317 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 193
- Information Systems 77
- Education 37
- Developmental and Educational Psychology 32
- Computer Science Applications 31
Countries citing papers authored by Rohana Mahmud
This map shows the geographic impact of Rohana Mahmud'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 Rohana Mahmud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rohana Mahmud more than expected).
Fields of papers citing papers by Rohana Mahmud
This network shows the impact of papers produced by Rohana Mahmud. 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 Rohana Mahmud. The network helps show where Rohana Mahmud may publish in the future.
Co-authorship network of co-authors of Rohana Mahmud
This figure shows the co-authorship network connecting the top 25 collaborators of Rohana Mahmud. A scholar is included among the top collaborators of Rohana Mahmud 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 Rohana Mahmud. Rohana Mahmud 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 | 0 | |
| 3 | 2 | |
| 4 | 34 | |
| 5 | 58 | |
| 6 | Benchmarking Mi-NER: Malay Entity Recognition Engine | 4 |
| 7 | 30 | |
| 8 | 2 | |
| 9 | 49 | |
| 10 | 4 | |
| 11 | Towards enhancing the compilation of Al-Hadith text in Malay | 3 |
| 12 | 23 | |
| 13 | Malay Semantic Text Processing Engine | 1 |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 40 | |
| 17 | Automated Web Based System for Bone Age Assessment using Histogram Technique | 17 |
| 18 | 8 | |
| 19 | 1 | |
| 20 | 16 |
About Rohana Mahmud
Rohana Mahmud is a scholar working on Artificial Intelligence, Signal Processing and Computer Science Applications, having authored 25 papers that have together received 336 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers) and Text and Document Classification Technologies (5 papers). The work is most often cited by research in Artificial Intelligence (193 citations), Computer Science Applications (31 citations) and Information Systems (77 citations). Rohana Mahmud has collaborated with scholars based in Malaysia, China and Nigeria. Frequent co-authors include Norisma Idris, Andrew Thomas Bimba, Ram Gopal Raj, Ahmed Al-Hunaiyyan, Liyana Shuib, Salinah Ja’afar, Abdullah Gani, Dirk Thorleuchter, Shahrul Azman Mohd Noah and M. E. Abo. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.
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.