David Mhlanga

4.6k citations
76 papers · 1.7k indexed · 4 hit papers · h-index 20
Topics
Microfinance and Financial Inclusion (20 papers)FinTech, Crowdfunding, Digital Finance (14 papers)COVID-19 Pandemic Impacts (7 papers)

In The Last Decade

David Mhlanga

68 papers receiving 1.6k citations

Hit Papers

Open AI in Education, the Responsible and E...2020202620222024202320202020202150100150200250

Peers

David Mhlanga
Comparison fields: 5 of 140
  • Economics and Econometrics 408
  • Information Systems 398
  • Management Information Systems 308
  • Artificial Intelligence 258
  • Health Informatics 230
Replace Maria José Sousa with:
Maria José Sousa Portugal
Ghaleb A. El Refae United Arab Emirates
Denis Dennehy Ireland
Joanna Ejdys Poland
Dag Øivind Madsen Norway
Fotis Kitsios Greece
Muhammad Anshari Brunei
Grzegorz Mazurek Poland
Timm Teubner Germany
Grace McCarthy Australia
David Mhlanga relative to Maria José Sousa Portugal Maria José Sousa's profile →
Citations per field
00.5×4.6×
Maria José Sousa · 1×
Citations per year

Countries citing papers authored by David Mhlanga

Since Specialization
Citations

This map shows the geographic impact of David Mhlanga'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 David Mhlanga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Mhlanga more than expected).

Fields of papers citing papers by David Mhlanga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Mhlanga. 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 David Mhlanga. The network helps show where David Mhlanga may publish in the future.

Co-authorship network of co-authors of David Mhlanga

This figure shows the co-authorship network connecting the top 25 collaborators of David Mhlanga. A scholar is included among the top collaborators of David Mhlanga 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 David Mhlanga. David Mhlanga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 14
3 28
4 0
5 4
6 4
7 12
8 1
9 6
10 4
11 16
12 8
13 31
14 14
15 26
16
Financial Inclusion in Agriculture: Lessons from Zimbabwe
1
17 2
18 20
19 8
20 19

About David Mhlanga

David Mhlanga is a scholar working on Health Informatics, Management Information Systems and Computer Science Applications, having authored 76 papers that have together received 1.7k indexed citations. Recurring topics across this work include Microfinance and Financial Inclusion (20 papers), FinTech, Crowdfunding, Digital Finance (14 papers) and COVID-19 Pandemic Impacts (7 papers). The work is most often cited by research in Health Informatics (230 citations), Management Information Systems (308 citations) and Computer Science Applications (142 citations). David Mhlanga has collaborated with scholars based in South Africa, Australia and United States. Frequent co-authors include Tankiso Moloi, Emmanuel Ndhlovu, Rufaro Garidzirai, Favourate Y. Mpofu, Peterson K Ozili, Elvin Shava, Abdo Hassoun, Carmen Carmona‐Torres, Guillermo Garcia‐Garcia and Hana Trollman. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Sustainability.

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.

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