Catarina Moreira
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Management Science and Operations Research top 5%
- Media Technology top 5%
- Co-authors
- Andreas WichertPrayag TiwariDeepak GuptaV. S. ChouhanRobertas DamaševičiusAditya KhampariaSanjay Kumar SinghVictor Hugo C. de Albuquerque
- Topics
- Bayesian Modeling and Causal Inference (11 papers)Explainable Artificial Intelligence (XAI) (10 papers)Quantum Mechanics and Applications (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- PortugalAustraliaUnited Kingdom
In The Last Decade
Catarina Moreira
50 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 717
- Radiology, Nuclear Medicine and Imaging 483
- Computer Vision and Pattern Recognition 217
- Management Science and Operations Research 126
- Media Technology 125
Countries citing papers authored by Catarina Moreira
This map shows the geographic impact of Catarina Moreira'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 Catarina Moreira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catarina Moreira more than expected).
Fields of papers citing papers by Catarina Moreira
This network shows the impact of papers produced by Catarina Moreira. 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 Catarina Moreira. The network helps show where Catarina Moreira may publish in the future.
Co-authorship network of co-authors of Catarina Moreira
This figure shows the co-authorship network connecting the top 25 collaborators of Catarina Moreira. A scholar is included among the top collaborators of Catarina Moreira 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 Catarina Moreira. Catarina Moreira 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 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 25 | |
| 10 | 158 | |
| 11 | 25 | |
| 12 | 147 | |
| 13 | Learning to rank academic experts in the DBLP dataset | 36 |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 0 | |
| 18 | 0 | |
| 19 | 0 | |
| 20 | 0 |
About Catarina Moreira
Catarina Moreira is a scholar working on Health Informatics, General Decision Sciences and Artificial Intelligence, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (11 papers), Explainable Artificial Intelligence (XAI) (10 papers) and Quantum Mechanics and Applications (9 papers). The work is most often cited by research in Health Informatics (78 citations), Artificial Intelligence (717 citations) and General Decision Sciences (39 citations). Catarina Moreira has collaborated with scholars based in Portugal, Australia and United Kingdom. Frequent co-authors include Andreas Wichert, Prayag Tiwari, Deepak Gupta, V. S. Chouhan, Robertas Damaševičius, Aditya Khamparia, Sanjay Kumar Singh, Victor Hugo C. de Albuquerque, Chun Ouyang and Peter Bruza. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.