Albert Yaw Appiah
- Computer Vision and Pattern Recognition top 5%
- Renewable Energy, Sustainability and the Environment top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Co-authors
- Ben Beklisi Kwame AyawliFrimpong KyeremehXinghua ZhangRyad ChellaliXue MeiMouquan ShenIsaac Kofi NtiOwusu Nyarko‐Boateng
- Topics
- Robotic Path Planning Algorithms (4 papers)Autonomous Vehicle Technology and Safety (3 papers)Photovoltaic System Optimization Techniques (2 papers)
In The Last Decade
Albert Yaw Appiah
9 papers receiving 355 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 150
- Renewable Energy, Sustainability and the Environment 130
- Electrical and Electronic Engineering 112
- Control and Systems Engineering 102
- Artificial Intelligence 90
Countries citing papers authored by Albert Yaw Appiah
This map shows the geographic impact of Albert Yaw Appiah'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 Albert Yaw Appiah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Yaw Appiah more than expected).
Fields of papers citing papers by Albert Yaw Appiah
This network shows the impact of papers produced by Albert Yaw Appiah. 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 Albert Yaw Appiah. The network helps show where Albert Yaw Appiah may publish in the future.
Co-authorship network of co-authors of Albert Yaw Appiah
This figure shows the co-authorship network connecting the top 25 collaborators of Albert Yaw Appiah. A scholar is included among the top collaborators of Albert Yaw Appiah 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 Albert Yaw Appiah. Albert Yaw Appiah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 9 | |
| 3 | 44 | |
| 4 | 91 | |
| 5 | 21 | |
| 6 | 81 | |
| 7 | 74 | |
| 8 | 5 | |
| 9 | Development of a Programmable Logic Controller Training Platform for the Industrial Control of Processes | 14 |
About Albert Yaw Appiah
Albert Yaw Appiah is a scholar working on Automotive Engineering, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 367 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (4 papers), Autonomous Vehicle Technology and Safety (3 papers) and Photovoltaic System Optimization Techniques (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (130 citations), Computer Vision and Pattern Recognition (150 citations) and Automotive Engineering (59 citations). Albert Yaw Appiah has collaborated with scholars based in Ghana and China. Frequent co-authors include Ben Beklisi Kwame Ayawli, Frimpong Kyeremeh, Xinghua Zhang, Ryad Chellali, Xue Mei, Mouquan Shen, Isaac Kofi Nti, Owusu Nyarko‐Boateng and James Adu Ansere. Their work appears in journals such as IEEE Access, Journal of Advanced Transportation and International Journal of Photoenergy.
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.