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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- Data Visualization and Analytics 5
- Image Retrieval and Classification Techniques 2
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- Distributed and Parallel Computing Systems 2
- Software System Performance and Reliability 1
- Co-authors
- James T. Klosowski (2 shared papers)Carlos Scheidegger (2 shared papers)Juliana Freire (5 shared papers)Claudio Silva (4 shared papers)Emanuele Santos (3 shared papers)Craig C. Teerlink (1 shared paper)Frederick S. Albright (1 shared paper)Lisa Cannon‐Albright (1 shared paper)
- 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)Lecture notes in computer science (2 papers)
- Partner nations
- United StatesBrazilChina
In The Last Decade
Lauro Lins
11 papers receiving 412 citations
Peers
Comparison fields: 5 of 72
- Signal Processing 157
- Computer Vision and Pattern Recognition 233
- Information Systems and Management 76
- Computer Graphics and Computer-Aided Design 21
- Transportation 38
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-authors
The 22 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 | 2013 | 192 | |
| 2 | 2011 | 51 | |
| 3 | 2012 | 51 | |
| 4 | 2009 | 36 | |
| 5 | 2002 | 31 | |
| 6 | 2017 | 28 | |
| 7 | 2008 | 25 | |
| 8 | 2008 | 9 | |
| 9 | 2014 | 5 | |
| 10 | 2009 | 3 | |
| 11 | 2003 | 2 |
About Lauro Lins
Lauro Lins is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Management, Information Systems and Signal Processing, having authored 11 papers that have together received 433 indexed citations. Recurring topics across this work include Data Visualization and Analytics (5 papers), Scientific Computing and Data Management (3 papers), Optimization and Packing Problems (2 papers), Data Management and Algorithms (2 papers), Image Retrieval and Classification Techniques (2 papers), Distributed and Parallel Computing Systems (2 papers), Software System Performance and Reliability (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Signal Processing (157 citations), Computer Vision and Pattern Recognition (233 citations), Information Systems and Management (76 citations), Computer Graphics and Computer-Aided Design (21 citations) and Transportation (38 citations). Lauro Lins has collaborated with scholars based in United States, Brazil and China. Frequent co-authors include James T. Klosowski, Carlos Scheidegger, Juliana Freire, Claudio Silva, Emanuele Santos, Craig C. Teerlink, Frederick S. Albright, Lisa Cannon‐Albright, James Ahrens and Sóstenes Lins. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Genetics in Medicine, Discrete Applied Mathematics, European Journal of Operational Research and Lecture notes in computer science.
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.