Dimane Mpoeleng
Impact in
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- Artificial Intelligence in Healthcare
Papers in
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- ICT in Developing Communities 2
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- Advanced Text Analysis Techniques 2
- Co-authors
- Thabiso Maupong (2 shared papers)Oteng Tabona (1 shared paper)Banyatsang Mphago (1 shared paper)Thabo Semong (1 shared paper)Rodrigo S. Jamisola (4 shared papers)Emily Bennitt (1 shared paper)Paul Ezhilchelvan (1 shared paper)Gregory L. Hillhouse (1 shared paper)
In The Last Decade
Dimane Mpoeleng
20 papers receiving 697 citations
Dimane Mpoeleng's Hit Papers
Peers
Comparison fields: 5 of 150
- Health Information Management 32
- Health Informatics 8
- Artificial Intelligence 193
- Computational Mathematics 3
- Ecological Modeling 18
Countries citing papers authored by Dimane Mpoeleng
This map shows the geographic impact of Dimane Mpoeleng'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 Dimane Mpoeleng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dimane Mpoeleng more than expected).
Fields of papers citing papers by Dimane Mpoeleng
This network shows the impact of papers produced by Dimane Mpoeleng. 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 Dimane Mpoeleng. The network helps show where Dimane Mpoeleng may publish in the future.
Co-authors
The 9 scholars most cited alongside Dimane Mpoeleng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A survey on missing data in machine learning Hit paper breakdown → | 2021 | 557 |
| 2 | 2021 | 46 | |
| 3 | 2021 | 33 | |
| 4 | 2001 | 13 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 10 | |
| 7 | 2004 | 10 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 6 | |
| 10 | An Expert System for HIV and AIDS Information | 2009 | 5 |
| 11 | 2019 | 3 | |
| 12 | 2019 | 3 | |
| 13 | 2007 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2018 | 2 | |
| 16 | Perceptions of University of Botswana Librarians on the Potential of Web 2.0 Tools | 2017 | 2 |
| 17 | 2021 | 1 | |
| 18 | ICT Literacy Policy-BOTSWANA | 2016 | 1 |
| 19 | Healthcare FAQ information retrieval using SMS | 2010 | 1 |
| 20 | 2010 | 1 |
About Dimane Mpoeleng
Dimane Mpoeleng is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Ecology and Molecular Biology, having authored 22 papers that have together received 721 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (2 papers), Wildlife Ecology and Conservation (2 papers), Cooperative Communication and Network Coding (2 papers), ICT in Developing Communities (2 papers), Energy Efficient Wireless Sensor Networks (2 papers), Advanced Text Analysis Techniques (2 papers), Video Surveillance and Tracking Methods (2 papers) and E-Government and Public Services (1 paper). The work is most often cited by research in Health Information Management (32 citations), Health Informatics (8 citations), Artificial Intelligence (193 citations), Computational Mathematics (3 citations) and Ecological Modeling (18 citations). Dimane Mpoeleng has collaborated with scholars based in Botswana, Australia and Nigeria. Frequent co-authors include Thabiso Maupong, Oteng Tabona, Banyatsang Mphago, Thabo Semong, Rodrigo S. Jamisola, Emily Bennitt, Paul Ezhilchelvan, Gregory L. Hillhouse and Henry O. Nyongesa. Their work appears in journals such as Interacting with Computers, Journal Of Big Data, Theoretical Computer Science, European Journal of Wildlife Research and Ecological Informatics.
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.