Mário A. Nascimento
- Signal Processing top 0.5%
- Computer Networks and Communications top 2%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Information Systems top 2%
- Co-authors
- Jörg SanderRenato O. StehlingAlexandre X. FalcãoAlexandru ComanBeng Chin OoiIoanis NikolaidisJeffrey PoundYueguo Chen
- Topics
- Data Management and Algorithms (64 papers)Advanced Database Systems and Queries (27 papers)Energy Efficient Wireless Sensor Networks (22 papers)
In The Last Decade
Mário A. Nascimento
123 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 106
- Signal Processing 774
- Computer Networks and Communications 674
- Computer Vision and Pattern Recognition 520
- Artificial Intelligence 407
- Information Systems 279
Countries citing papers authored by Mário A. Nascimento
This map shows the geographic impact of Mário A. Nascimento'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 Mário A. Nascimento with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mário A. Nascimento more than expected).
Fields of papers citing papers by Mário A. Nascimento
This network shows the impact of papers produced by Mário A. Nascimento. 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 Mário A. Nascimento. The network helps show where Mário A. Nascimento may publish in the future.
Co-authorship network of co-authors of Mário A. Nascimento
This figure shows the co-authorship network connecting the top 25 collaborators of Mário A. Nascimento. A scholar is included among the top collaborators of Mário A. Nascimento 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 Mário A. Nascimento. Mário A. Nascimento is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 3 | |
| 5 | k-Nearest Neighbors Queries in Time-Dependent Road Networks | 16 |
| 6 | Using Pivots to Speed-Up k-Medoids Clustering | 12 |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 98 | |
| 11 | A trajectory splitting model for efficient spatio-temporal indexing | 40 |
| 12 | 15 | |
| 13 | Synthetic and Real Spatiotemporal Datasets. | 10 |
| 14 | 2 | |
| 15 | Proceedings of the 2002 International Symposium on Database Engineering & Applications | 4 |
| 16 | 2 | |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 5 | |
| 20 | 2 |
About Mário A. Nascimento
Mário A. Nascimento is a scholar working on Signal Processing, Geography, Planning and Development and Computer Networks and Communications, having authored 127 papers that have together received 1.8k indexed citations. Recurring topics across this work include Data Management and Algorithms (64 papers), Advanced Database Systems and Queries (27 papers) and Energy Efficient Wireless Sensor Networks (22 papers). The work is most often cited by research in Signal Processing (774 citations), Computer Networks and Communications (674 citations) and Computer Vision and Pattern Recognition (520 citations). Mário A. Nascimento has collaborated with scholars based in Canada, Brazil and Germany. Frequent co-authors include Jörg Sander, Renato O. Stehling, Alexandre X. Falcão, Alexandru Coman, Beng Chin Ooi, Ioanis Nikolaidis, Jeffrey Pound, Yueguo Chen, Anthony K. H. Tung and Yannis Theodoridis. Their work appears in journals such as Communications of the ACM, Sensors and Journal of the Operational Research 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.