Matthew Ayamga
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition
- Information Systems
- Plant Science
- Automotive Engineering
- Co-authors
- Selorm AkabaBedir Teki̇nerdoğanAyalew KassahunGiacomo RambaldiMaría Carmela AnnosiWilfred DolfsmaEdward Kwabena AmeyawAugustine Tanle
- Topics
- UAV Applications and Optimization (2 papers)Big Data and Business Intelligence (1 paper)Artificial Intelligence and Decision Support Systems (1 paper)
- Cited by
- Business and International ManagementAerospace EngineeringIndustrial and Manufacturing Engineering
- Partner nations
- NetherlandsGhanaAustralia
In The Last Decade
Matthew Ayamga
9 papers receiving 330 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Aerospace Engineering 122
- Computer Vision and Pattern Recognition 50
- Information Systems 36
- Plant Science 33
- Automotive Engineering 30
Countries citing papers authored by Matthew Ayamga
This map shows the geographic impact of Matthew Ayamga'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 Matthew Ayamga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Ayamga more than expected).
Fields of papers citing papers by Matthew Ayamga
This network shows the impact of papers produced by Matthew Ayamga. 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 Matthew Ayamga. The network helps show where Matthew Ayamga may publish in the future.
Co-authorship network of co-authors of Matthew Ayamga
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Ayamga. A scholar is included among the top collaborators of Matthew Ayamga 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 Matthew Ayamga. Matthew Ayamga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | Multifaceted applicability of drones: A reviewbreakdown → | 166 |
| 7 | 75 | |
| 8 | 47 | |
| 9 | 5 | |
| 10 | 22 |
About Matthew Ayamga
Matthew Ayamga is a scholar working on Business and International Management, Strategy and Management and Management Information Systems, having authored 10 papers that have together received 342 indexed citations. Recurring topics across this work include UAV Applications and Optimization (2 papers), Big Data and Business Intelligence (1 paper) and Artificial Intelligence and Decision Support Systems (1 paper). The work is most often cited by research in Business and International Management (17 citations), Aerospace Engineering (122 citations) and Industrial and Manufacturing Engineering (29 citations). Matthew Ayamga has collaborated with scholars based in Netherlands, Ghana and Australia. Frequent co-authors include Selorm Akaba, Bedir Teki̇nerdoğan, Ayalew Kassahun, Giacomo Rambaldi, María Carmela Annosi, Wilfred Dolfsma, Edward Kwabena Ameyaw and Augustine Tanle. Their work appears in journals such as Technological Forecasting and Social Change, Technovation and Technology in Society.
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.