Marcos Machado
- Artificial Intelligence
- Accounting top 10%
- Marketing
- Management Science and Operations Research
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Salma KarrayJoerg OsterriederAlessandra AmatoCelma de Oliveira RibeiroErik Eduardo RegoBranka Hadji MishevaJoão MoreiraDaniel Chen
- Topics
- Customer churn and segmentation (8 papers)Financial Distress and Bankruptcy Prediction (7 papers)Stock Market Forecasting Methods (5 papers)
- Journals
- Expert Systems with ApplicationsApplied Soft ComputingJournal of Retailing and Consumer Services
- Partner nations
- NetherlandsCanadaBrazil
In The Last Decade
Marcos Machado
16 papers receiving 233 citations
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 80
- Accounting 64
- Marketing 24
- Management Science and Operations Research 24
- Radiology, Nuclear Medicine and Imaging 22
Countries citing papers authored by Marcos Machado
This map shows the geographic impact of Marcos Machado'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 Marcos Machado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcos Machado more than expected).
Fields of papers citing papers by Marcos Machado
This network shows the impact of papers produced by Marcos Machado. 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 Marcos Machado. The network helps show where Marcos Machado may publish in the future.
Co-authorship network of co-authors of Marcos Machado
This figure shows the co-authorship network connecting the top 25 collaborators of Marcos Machado. A scholar is included among the top collaborators of Marcos Machado 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 Marcos Machado. Marcos Machado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 17 | |
| 15 | 60 | |
| 16 | 16 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 111 |
About Marcos Machado
Marcos Machado is a scholar working on Marketing, Management Science and Operations Research and Accounting, having authored 20 papers that have together received 240 indexed citations. Recurring topics across this work include Customer churn and segmentation (8 papers), Financial Distress and Bankruptcy Prediction (7 papers) and Stock Market Forecasting Methods (5 papers). The work is most often cited by research in Accounting (64 citations), Health Informatics (6 citations) and Health Information Management (14 citations). Marcos Machado has collaborated with scholars based in Netherlands, Canada and Brazil. Frequent co-authors include Salma Karray, Joerg Osterrieder, Alessandra Amato, Celma de Oliveira Ribeiro, Erik Eduardo Rego, Branka Hadji Misheva, João Moreira, Daniel Chen, Martijn Mes and Gayane Sedrakyan. Their work appears in journals such as Expert Systems with Applications, Applied Soft Computing and Journal of Retailing and Consumer Services.
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.