Lauro Lins
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
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- Data Visualization and Analytics
- Video Analysis and Summarization
Papers in
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- Computational Geometry and Mesh Generation 1
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- Data Visualization and Analytics 5
- Image Retrieval and Classification Techniques 2
- Co-authors
- James T. KlosowskiCarlos ScheideggerJuliana FreireCraig C. TeerlinkFrederick S. AlbrightLisa Cannon‐AlbrightReinaldo MorábitoSóstenes Lins
- Journals
- IEEE Transactions on Visualization and Computer Graphics (4 papers)Genetics in Medicine (1 paper)Discrete Applied Mathematics (1 paper)European Journal of Operational Research (1 paper)
- Partner nations
- United StatesBrazilSweden
In The Last Decade
Lauro Lins
9 papers receiving 356 citations
Peers
Comparison fields: 5 of 72
- Signal Processing 147
- Computer Vision and Pattern Recognition 216
- Computer Graphics and Computer-Aided Design 20
- Information Systems and Management 39
- Transportation 37
Countries citing papers authored by Lauro Lins
This map shows the geographic impact of Lauro Lins'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 Lauro Lins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauro Lins more than expected).
Fields of papers citing papers by Lauro Lins
This network shows the impact of papers produced by Lauro Lins. 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 Lauro Lins. The network helps show where Lauro Lins may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Lauro Lins, 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 | 2017 | 26 | |
| 2 | 2014 | 5 | |
| 3 | 2013 | 182 | |
| 4 | 2012 | 49 | |
| 5 | 2011 | 49 | |
| 6 | 2009 | 28 | |
| 7 | 2009 | 3 | |
| 8 | 2003 | 2 | |
| 9 | 2002 | 29 |
About Lauro Lins
Lauro Lins is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Ecological Modeling, Industrial and Manufacturing Engineering and Signal Processing, having authored 9 papers that have together received 373 indexed citations. Recurring topics across this work include Data Visualization and Analytics (5 papers), Image Retrieval and Classification Techniques (2 papers), Data Management and Algorithms (2 papers), Optimization and Packing Problems (2 papers), Genetic Associations and Epidemiology (1 paper), Advanced Manufacturing and Logistics Optimization (1 paper), BRCA gene mutations in cancer (1 paper) and Computational Geometry and Mesh Generation (1 paper). The work is most often cited by research in Signal Processing (147 citations), Computer Vision and Pattern Recognition (216 citations), Computer Graphics and Computer-Aided Design (20 citations), Information Systems and Management (39 citations) and Transportation (37 citations). Lauro Lins has collaborated with scholars based in United States, Brazil and Sweden. Frequent co-authors include James T. Klosowski, Carlos Scheidegger, Juliana Freire, Craig C. Teerlink, Frederick S. Albright, Lisa Cannon‐Albright, Reinaldo Morábito, Sóstenes Lins, Claudio Silva and Steve Kelling. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Genetics in Medicine, Discrete Applied Mathematics and European Journal of Operational Research.
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.