Tranos Zuva
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Topics
- Technology Adoption and User Behaviour (15 papers)Recommender Systems and Techniques (11 papers)Biometric Identification and Security (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaFuture Generation Computer SystemsThe International Journal of Advanced Manufacturing Technology
- Partner nations
- South AfricaBotswanaIndia
In The Last Decade
Tranos Zuva
85 papers receiving 718 citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Information Systems 173
- Artificial Intelligence 165
- Computer Vision and Pattern Recognition 103
- Computer Networks and Communications 93
- Electrical and Electronic Engineering 84
Countries citing papers authored by Tranos Zuva
This map shows the geographic impact of Tranos Zuva'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 Tranos Zuva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tranos Zuva more than expected).
Fields of papers citing papers by Tranos Zuva
This network shows the impact of papers produced by Tranos Zuva. 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 Tranos Zuva. The network helps show where Tranos Zuva may publish in the future.
Co-authorship network of co-authors of Tranos Zuva
This figure shows the co-authorship network connecting the top 25 collaborators of Tranos Zuva. A scholar is included among the top collaborators of Tranos Zuva 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 Tranos Zuva. Tranos Zuva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | A SERENDIPITOUS RESEARCH PAPER RECOMMENDER SYSTEM | 6 |
| 12 | CORPORATE GOVERNANCE AND ORGANISATIONAL PERFORMANCE | 5 |
| 13 | 34 | |
| 14 | 8 | |
| 15 | 22 | |
| 16 | OPEN ETHICAL ISSUES IN DIGITAL FORENSIC SYSTEMS | 1 |
| 17 | 2 | |
| 18 | 18 | |
| 19 | 2 | |
| 20 | Bimodal Biometrics for Health Care Infrastructure Security | 1 |
About Tranos Zuva
Tranos Zuva is a scholar working on Information Systems and Management, Information Systems and Signal Processing, having authored 93 papers that have together received 758 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (15 papers), Recommender Systems and Techniques (11 papers) and Biometric Identification and Security (9 papers). The work is most often cited by research in Information Systems and Management (83 citations), Health Informatics (15 citations) and Computer Science Applications (56 citations). Tranos Zuva has collaborated with scholars based in South Africa, Botswana and India. Frequent co-authors include Sunday O. Ojo, Moshe T. Masonta and Oludayo O. Olugbara. Their work appears in journals such as SHILAP Revista de lepidopterología, Future Generation Computer Systems and The International Journal of Advanced Manufacturing Technology.
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.