Shahreen Kasim
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Co-authors
- Tole SutiknoRohayanti HassanMohd Arfian IsmailMohd Saberi MohamadMohd Farhan Md FudzeeRd. Rohmat SaedudinSafaai DerisHairulnizam Mahdin
- Topics
- Gene expression and cancer classification (21 papers)Machine Learning in Bioinformatics (16 papers)Bioinformatics and Genomic Networks (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessBMC Bioinformatics
In The Last Decade
Shahreen Kasim
129 papers receiving 829 citations
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 250
- Information Systems 244
- Computer Networks and Communications 152
- Computer Vision and Pattern Recognition 134
- Molecular Biology 91
Countries citing papers authored by Shahreen Kasim
This map shows the geographic impact of Shahreen Kasim'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 Shahreen Kasim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shahreen Kasim more than expected).
Fields of papers citing papers by Shahreen Kasim
This network shows the impact of papers produced by Shahreen Kasim. 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 Shahreen Kasim. The network helps show where Shahreen Kasim may publish in the future.
Co-authorship network of co-authors of Shahreen Kasim
This figure shows the co-authorship network connecting the top 25 collaborators of Shahreen Kasim. A scholar is included among the top collaborators of Shahreen Kasim 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 Shahreen Kasim. Shahreen Kasim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | Topologically significant directed random walk with applied walker network in cancer environment. | 1 |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 18 | |
| 13 | 17 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 8 | |
| 17 | 15 | |
| 18 | 9 | |
| 19 | 11 | |
| 20 | 10 |
About Shahreen Kasim
Shahreen Kasim is a scholar working on Health Information Management, Information Systems and Artificial Intelligence, having authored 142 papers that have together received 899 indexed citations. Recurring topics across this work include Gene expression and cancer classification (21 papers), Machine Learning in Bioinformatics (16 papers) and Bioinformatics and Genomic Networks (16 papers). The work is most often cited by research in Information Systems (244 citations), Health Information Management (50 citations) and Artificial Intelligence (250 citations). Shahreen Kasim has collaborated with scholars based in Malaysia, Indonesia and Iraq. Frequent co-authors include Tole Sutikno, Rohayanti Hassan, Mohd Arfian Ismail, Mohd Saberi Mohamad, Mohd Farhan Md Fudzee, Rd. Rohmat Saedudin, Safaai Deris, Hairulnizam Mahdin, Lina Handayani and Azizul Azhar Ramli. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and BMC Bioinformatics.
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.