Ana Madureira
- Industrial and Manufacturing Engineering top 2%
- Artificial Intelligence top 10%
- Physiology
- Computer Networks and Communications top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Ivo PereiraAjith AbrahamLuís CoelhoCarlos RamosBenjamim FonsecaSílvio Carmo SilvaLeonilde VarelaNiketa Gandhi
- Topics
- Scheduling and Optimization Algorithms (42 papers)Advanced Manufacturing and Logistics Optimization (16 papers)Metaheuristic Optimization Algorithms Research (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- PortugalUnited StatesIndia
In The Last Decade
Ana Madureira
80 papers receiving 706 citations
Peers
Comparison fields: 5 of 118
- Industrial and Manufacturing Engineering 261
- Artificial Intelligence 188
- Physiology 86
- Computer Networks and Communications 79
- Control and Systems Engineering 64
Countries citing papers authored by Ana Madureira
This map shows the geographic impact of Ana Madureira'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 Ana Madureira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana Madureira more than expected).
Fields of papers citing papers by Ana Madureira
This network shows the impact of papers produced by Ana Madureira. 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 Ana Madureira. The network helps show where Ana Madureira may publish in the future.
Co-authorship network of co-authors of Ana Madureira
This figure shows the co-authorship network connecting the top 25 collaborators of Ana Madureira. A scholar is included among the top collaborators of Ana Madureira 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 Ana Madureira. Ana Madureira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 0 | |
| 11 | 8 | |
| 12 | 14 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 4 | |
| 19 | 3 | |
| 20 | A Genetic Approach for Dynamic Job-Shop Scheduling Problems | 5 |
About Ana Madureira
Ana Madureira is a scholar working on Industrial and Manufacturing Engineering, Human-Computer Interaction and Artificial Intelligence, having authored 90 papers that have together received 732 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (42 papers), Advanced Manufacturing and Logistics Optimization (16 papers) and Metaheuristic Optimization Algorithms Research (16 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (261 citations), Artificial Intelligence (188 citations) and Signal Processing (60 citations). Ana Madureira has collaborated with scholars based in Portugal, United States and India. Frequent co-authors include Ivo Pereira, Ajith Abraham, Luís Coelho, Carlos Ramos, Benjamim Fonseca, Sílvio Carmo Silva, Leonilde Varela, Niketa Gandhi, Wenjuan Song and Michael Parizh. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.