Khamisi Kalegele
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- Online Learning and Analytics 7
- Health Information Management top 10%
- Education top 10%
- Online and Blended Learning 3
- Information Systems top 10%
- ICT in Developing Communities 4
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- Machine Learning and Data Classification 4
- Machine Learning and Algorithms 3
- Data Stream Mining Techniques 3
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- Software System Performance and Reliability 3
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- Mobile Health and mHealth Applications 3
- Co-authors
- Neema MdumaDina MachuveTetsuo KinoshitaHideyuki TakahashiShûichi OhnoKouji HirataS. KobayashiYoshinobu Higami
- Journals
- SHILAP Revista de lepidopterología (3 papers)IEEE Transactions on Knowledge and Data Engineering (1 paper)Data Science Journal (1 paper)
In The Last Decade
Khamisi Kalegele
30 papers receiving 235 citations
Peers
Comparison fields: 5 of 63
- Computer Science Applications 87
- Health Information Management 17
- Education 87
- Information Systems 62
- Health Informatics 3
Countries citing papers authored by Khamisi Kalegele
This map shows the geographic impact of Khamisi Kalegele'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 Khamisi Kalegele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khamisi Kalegele more than expected).
Fields of papers citing papers by Khamisi Kalegele
This network shows the impact of papers produced by Khamisi Kalegele. 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 Khamisi Kalegele. The network helps show where Khamisi Kalegele may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Khamisi Kalegele, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 1 | |
| 2 | 2020 | 2 | |
| 3 | 2019 | 67 | |
| 4 | 2018 | 1 | |
| 5 | 2017 | 5 | |
| 6 | 2017 | 1 | |
| 7 | 2017 | 3 | |
| 8 | Classroom ICT Integration in Tanzania: Opportunities and Challenges from the Perspectives of TPACK and SAMR Models. | 2016 | 66 |
| 9 | 2016 | 4 | |
| 10 | 2016 | 0 | |
| 11 | 2016 | 12 | |
| 12 | 2015 | 13 | |
| 13 | A Knowledge-based Method for Autonomous Failure Isolation and Recovery Support | 2013 | 1 |
| 14 | 2013 | 2 | |
| 15 | 2013 | 3 | |
| 16 | 2012 | 2 | |
| 17 | 2012 | 2 | |
| 18 | 2011 | 1 | |
| 19 | 2010 | 1 | |
| 20 | 2010 | 0 |
About Khamisi Kalegele
Khamisi Kalegele is a scholar working on Computer Science Applications, Information Systems and Health Information Management, having authored 33 papers that have together received 253 indexed citations. Recurring topics across this work include Online Learning and Analytics (7 papers), ICT in Developing Communities (4 papers), Machine Learning and Data Classification (4 papers), Machine Learning and Algorithms (3 papers), Online and Blended Learning (3 papers), Data Stream Mining Techniques (3 papers), Software System Performance and Reliability (3 papers) and Mobile Health and mHealth Applications (3 papers). The work is most often cited by research in Computer Science Applications (87 citations), Health Information Management (17 citations) and Education (87 citations). Khamisi Kalegele has collaborated with scholars based in Tanzania, Japan and Uganda. Frequent co-authors include Neema Mduma, Dina Machuve, Tetsuo Kinoshita, Hideyuki Takahashi, Shûichi Ohno, Kouji Hirata, S. Kobayashi, Yoshinobu Higami, Simon Samwel Msanjila and Anael Sam. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Knowledge and Data Engineering and Data Science Journal.
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.