Kamal Uddin Sarker
- Computer Science Applications top 1%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Education top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Raza HasanSalman MahmoodSellappan PalaniappanAli Hashim AbbasMian Usman SattarAziz DeramanAli K AbassBabar Shah
- Topics
- Big Data and Business Intelligence (6 papers)Online Learning and Analytics (6 papers)Software Engineering Techniques and Practices (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaSustainabilityApplied Sciences
- Partner nations
- MalaysiaOmanBangladesh
In The Last Decade
Kamal Uddin Sarker
21 papers receiving 345 citations
Peers
Comparison fields: 5 of 66
- Computer Science Applications 219
- Information Systems 122
- Artificial Intelligence 106
- Education 78
- Computer Networks and Communications 76
Countries citing papers authored by Kamal Uddin Sarker
This map shows the geographic impact of Kamal Uddin Sarker'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 Kamal Uddin Sarker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamal Uddin Sarker more than expected).
Fields of papers citing papers by Kamal Uddin Sarker
This network shows the impact of papers produced by Kamal Uddin Sarker. 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 Kamal Uddin Sarker. The network helps show where Kamal Uddin Sarker may publish in the future.
Co-authorship network of co-authors of Kamal Uddin Sarker
This figure shows the co-authorship network connecting the top 25 collaborators of Kamal Uddin Sarker. A scholar is included among the top collaborators of Kamal Uddin Sarker 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 Kamal Uddin Sarker. Kamal Uddin Sarker 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 | 1 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 16 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 120 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 10 | |
| 15 | 22 | |
| 16 | 5 | |
| 17 | 5 | |
| 18 | 9 | |
| 19 | 10 | |
| 20 | 90 |
About Kamal Uddin Sarker
Kamal Uddin Sarker is a scholar working on Computer Science Applications, Management Information Systems and Information Systems, having authored 24 papers that have together received 369 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (6 papers), Online Learning and Analytics (6 papers) and Software Engineering Techniques and Practices (6 papers). The work is most often cited by research in Computer Science Applications (219 citations), Health Information Management (47 citations) and Information Systems (122 citations). Kamal Uddin Sarker has collaborated with scholars based in Malaysia, Oman and Bangladesh. Frequent co-authors include Raza Hasan, Salman Mahmood, Sellappan Palaniappan, Ali Hashim Abbas, Mian Usman Sattar, Aziz Deraman, Ali K Abass, Babar Shah, M. Rizwan Sohail and Saqib Hussain. Their work appears in journals such as SHILAP Revista de lepidopterología, Sustainability and Applied Sciences.
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.