Albert Yaw Appiah

12 total papers · 491 total citations
9 papers, 363 citations indexed

About

Albert Yaw Appiah is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Albert Yaw Appiah has authored 9 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Automotive Engineering, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Control and Systems Engineering. Recurrent topics in Albert Yaw Appiah's work include Robotic Path Planning Algorithms (4 papers), Autonomous Vehicle Technology and Safety (3 papers) and Photovoltaic System Optimization Techniques (2 papers). Albert Yaw Appiah is often cited by papers focused on Robotic Path Planning Algorithms (4 papers), Autonomous Vehicle Technology and Safety (3 papers) and Photovoltaic System Optimization Techniques (2 papers). Albert Yaw Appiah collaborates with scholars based in Ghana and China. Albert Yaw Appiah's 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 and has published in prestigious journals such as IEEE Access, Journal of Advanced Transportation and International Journal of Photoenergy.

In The Last Decade

Albert Yaw Appiah

9 papers receiving 352 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Albert Yaw Appiah 149 129 111 100 90 9 363
Frimpong Kyeremeh 148 1.0× 134 1.0× 127 1.1× 99 1.0× 93 1.0× 12 382
Ben Beklisi Kwame Ayawli 157 1.1× 129 1.0× 104 0.9× 89 0.9× 96 1.1× 12 350
Yu-Chen Wei 93 0.6× 107 0.8× 89 0.8× 55 0.6× 153 1.7× 20 382
Ying‐Chih Lai 58 0.4× 55 0.4× 120 1.1× 81 0.8× 71 0.8× 23 333
Hang Qiu 113 0.8× 89 0.7× 168 1.5× 13 0.1× 38 0.4× 26 375
Lu Chang 222 1.5× 34 0.3× 26 0.2× 112 1.1× 40 0.4× 11 401
Timothy Mulumba 31 0.2× 29 0.2× 49 0.4× 128 1.3× 58 0.6× 9 315
Muhammad Kazim 110 0.7× 16 0.1× 89 0.8× 92 0.9× 110 1.2× 14 401
Nasser Yousefi 24 0.2× 133 1.0× 241 2.2× 64 0.6× 110 1.2× 22 394
Sara Ayub 112 0.8× 23 0.2× 152 1.4× 83 0.8× 25 0.3× 19 396

Countries citing papers authored by Albert Yaw Appiah

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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