Mário A. Nascimento
- Signal Processing top 0.5%
- Data Management and Algorithms 64
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- Advanced Database Systems and Queries 27
- Energy Efficient Wireless Sensor Networks 22
- Mobile Ad Hoc Networks 10
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- Advanced Image and Video Retrieval Techniques 18
- Image Retrieval and Classification Techniques 15
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- Geographic Information Systems Studies 17
- Transportation top 5%
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- Algorithms and Data Compression 10
- Co-authors
- Jörg SanderRenato O. StehlingAlexandre X. FalcãoAlexandru ComanBeng Chin OoiIoanis NikolaidisJeffrey PoundYueguo Chen
- Cited by
- Signal ProcessingComputer Networks and CommunicationsComputer Vision and Pattern Recognition
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
- Geography, Planning and Development 124
- Transportation 124
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
The 25 scholars most cited alongside Mário A. Nascimento, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 1 | |
| 2 | 2020 | 1 | |
| 3 | 2019 | 11 | |
| 4 | 2013 | 3 | |
| 5 | k-Nearest Neighbors Queries in Time-Dependent Road Networks | 2012 | 16 |
| 6 | Using Pivots to Speed-Up k-Medoids Clustering | 2011 | 12 |
| 7 | 2011 | 1 | |
| 8 | 2011 | 1 | |
| 9 | 2008 | 10 | |
| 10 | 2007 | 98 | |
| 11 | A trajectory splitting model for efficient spatio-temporal indexing | 2005 | 40 |
| 12 | 2005 | 15 | |
| 13 | Synthetic and Real Spatiotemporal Datasets. | 2003 | 10 |
| 14 | 2003 | 2 | |
| 15 | Proceedings of the 2002 International Symposium on Database Engineering & Applications | 2002 | 4 |
| 16 | 2002 | 2 | |
| 17 | 2002 | 9 | |
| 18 | 2001 | 5 | |
| 19 | 2000 | 5 | |
| 20 | 1993 | 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), Energy Efficient Wireless Sensor Networks (22 papers), Advanced Image and Video Retrieval Techniques (18 papers), Geographic Information Systems Studies (17 papers), Image Retrieval and Classification Techniques (15 papers), Algorithms and Data Compression (10 papers) and Mobile Ad Hoc Networks (10 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 GeoInformatica, IEEE Transactions on Knowledge and Data Engineering, Journal of the Operational Research Society, ACM SIGMOD Record and Distributed and Parallel Databases.
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.