This map shows the geographic impact of Thabani Nyoni'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 Thabani Nyoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thabani Nyoni more than expected).
This network shows the impact of papers produced by Thabani Nyoni. 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 Thabani Nyoni. The network helps show where Thabani Nyoni may publish in the future.
Co-authorship network of co-authors of Thabani Nyoni
This figure shows the co-authorship network connecting the top 25 collaborators of Thabani Nyoni.
A scholar is included among the top collaborators of Thabani Nyoni 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 Thabani Nyoni. Thabani Nyoni is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Nyoni, Thabani, et al.. (2020). Using Artificial Neural Networks for Predicting New Snake Bite Cases at Gweru Provincial Hospital in Zimbabwe. JournalNX - A Multidisciplinary Peer Reviewed Journal. 315–321.1 indexed citations
8.
Nyoni, Thabani. (2019). Modeling and forecasting remittances in Bangladesh using the Box-Jenkins ARIMA methodology. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas).1 indexed citations
9.
Nyoni, Thabani. (2019). Forecasting Australian CPI using ARIMA models. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich).2 indexed citations
10.
Nyoni, Thabani & Wellington Garikai Bonga. (2019). Hygienic Practices of Street Food Vendors in Zimbabwe: A Case of Harare. SSRN Electronic Journal.7 indexed citations
11.
Nyoni, Thabani, et al.. (2019). TOTAL NEW HIV INFECTIONS IN THAILAND A BOX-JENKINS ARIMA APPROACH. JournalNX - A Multidisciplinary Peer Reviewed Journal. 5(3). 10–15.1 indexed citations
12.
Bonga, Wellington Garikai, et al.. (2019). Macroeconomic Determinants of Private Investment in Sub-Saharan Africa. SSRN Electronic Journal.6 indexed citations
13.
Nyoni, Thabani & Wellington Garikai Bonga. (2019). Modeling and Forecasting GDP per Capita in Rwanda. SSRN Electronic Journal.3 indexed citations
14.
Nyoni, Thabani. (2019). Time series modeling and forecasting of the consumer price index in Belgium. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich).2 indexed citations
15.
Nyoni, Thabani. (2019). A Box-Jenkins ARIMA approach to the population question in Pakistan: A reliable prognosis. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich).1 indexed citations
16.
Nyoni, Thabani. (2019). Modeling and forecasting demand for electricity in Zimbabwe using the Box-Jenkins ARIMA technique. Munich Personal RePEc Archive (Munich University).5 indexed citations
17.
Nyoni, Thabani. (2019). Predicting consumer price index in Saudi Arabia. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich).1 indexed citations
18.
Nyoni, Thabani & Wellington Garikai Bonga. (2017). Neuromarketing: The Journey to Better Consumer Understanding. SSRN Electronic Journal.2 indexed citations
19.
Nyoni, Thabani & Wellington Garikai Bonga. (2017). Foreign Aid – Economic Growth Nexus: A Systematic Review of Theory & Evidence from Developing Countries. SSRN Electronic Journal.3 indexed citations
20.
Nyoni, Thabani. (2017). An empirical investigation of factors affecting the performance of women entrepreneurs in Harare: a case of food vendors. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich).3 indexed citations
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.