James Uhomoibhi
- Education top 10%
- Computer Science Applications top 5%
- Information Systems top 10%
- Media Technology top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Hui WangMaría Teresa RestivoMarkus HelfertJane SinclairDaniel F. O. OnahMarco ZennaroErmanno PietrosémoliErnest Teye
- Topics
- Experimental Learning in Engineering (12 papers)Augmented Reality Applications (5 papers)Online Learning and Analytics (4 papers)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
James Uhomoibhi
50 papers receiving 287 citations
Peers
Comparison fields: 5 of 83
- Education 90
- Computer Science Applications 67
- Information Systems 50
- Media Technology 46
- Computer Vision and Pattern Recognition 43
Countries citing papers authored by James Uhomoibhi
This map shows the geographic impact of James Uhomoibhi'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 James Uhomoibhi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Uhomoibhi more than expected).
Fields of papers citing papers by James Uhomoibhi
This network shows the impact of papers produced by James Uhomoibhi. 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 James Uhomoibhi. The network helps show where James Uhomoibhi may publish in the future.
Co-authorship network of co-authors of James Uhomoibhi
This figure shows the co-authorship network connecting the top 25 collaborators of James Uhomoibhi. A scholar is included among the top collaborators of James Uhomoibhi 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 James Uhomoibhi. James Uhomoibhi 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 | 4 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 12 | |
| 6 | 6 | |
| 7 | 29 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | Many-body Approaches to Cross-level and Multidisciplinary Initiatives for Encouraging Learners into STEM from Primary to Further and Higher Education | 2 |
| 11 | 5 | |
| 12 | 11 | |
| 13 | 8 | |
| 14 | 9 | |
| 15 | 5 | |
| 16 | 8 | |
| 17 | Development of E-learning in higher education and future directions | 7 |
| 18 | E-learning development tendencies in higher education and future directions | 1 |
| 19 | 5 | |
| 20 | 26 |
About James Uhomoibhi
James Uhomoibhi is a scholar working on Media Technology, Computer Science Applications and Human-Computer Interaction, having authored 52 papers that have together received 318 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (12 papers), Augmented Reality Applications (5 papers) and Online Learning and Analytics (4 papers). The work is most often cited by research in Computer Science Applications (67 citations), Human-Computer Interaction (38 citations) and Architecture (8 citations). James Uhomoibhi has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Hui Wang, María Teresa Restivo, Markus Helfert, Jane Sinclair, Daniel F. O. Onah, Marco Zennaro, Ermanno Pietrosémoli, Ernest Teye, Margaret Ross and Maija M. Kuklja. Their work appears in journals such as Solar Energy, Soft Computing and International Journal of Information and Learning 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.