Lucas Antiqueira
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- Complex Network Analysis Techniques 7
- Opinion Dynamics and Social Influence 5
- Artificial Intelligence top 5%
- Topic Modeling 6
- Advanced Text Analysis Techniques 3
- Natural Language Processing Techniques 3
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- Neural dynamics and brain function 1
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- Bioinformatics and Genomic Networks 2
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- Scientific Research and Philosophical Inquiry 1
- Co-authors
- Luciano da Fontoura CostaOsvaldo N. OliveiraFrancisco A. RodriguesMatheus P. VianaLuis E. C. RochaPaulino Ribeiro Villas-BoasGonzalo TraviesoMaria G. V. Nunes
- Cited by
- Statistical and Nonlinear PhysicsArtificial IntelligenceComputer Networks and Communications
- Partner nations
- BrazilUnited StatesMoldova
In The Last Decade
Lucas Antiqueira
15 papers receiving 746 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Statistical and Nonlinear Physics 430
- Artificial Intelligence 251
- Computer Networks and Communications 91
- Cognitive Neuroscience 69
- Experimental and Cognitive Psychology 45
Countries citing papers authored by Lucas Antiqueira
This map shows the geographic impact of Lucas Antiqueira'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 Lucas Antiqueira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucas Antiqueira more than expected).
Fields of papers citing papers by Lucas Antiqueira
This network shows the impact of papers produced by Lucas Antiqueira. 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 Lucas Antiqueira. The network helps show where Lucas Antiqueira may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Lucas Antiqueira, 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 | 2014 | 4 | |
| 2 | 2012 | 7 | |
| 3 | Analyzing and modeling real-world phenomena with complex networks: a survey of applicationsbreakdown → | 2011 | 441 |
| 4 | 2010 | 35 | |
| 5 | 2010 | 25 | |
| 6 | Complex Networks and Extractive Summarization | 2010 | 4 |
| 7 | 2009 | 12 | |
| 8 | 2008 | 87 | |
| 9 | 2008 | 34 | |
| 10 | 2007 | 15 | |
| 11 | 2007 | 37 | |
| 12 | 2006 | 13 | |
| 13 | 2006 | 66 | |
| 14 | Complex networks in the assessment of text quality | 2005 | 2 |
| 15 | A construção de uma ferramenta de auxílio à escrita de resumos acadêmicos em português | 2003 | 1 |
About Lucas Antiqueira
Lucas Antiqueira is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Management Information Systems, having authored 15 papers that have together received 783 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Topic Modeling (6 papers), Opinion Dynamics and Social Influence (5 papers), Advanced Text Analysis Techniques (3 papers), Natural Language Processing Techniques (3 papers), Bioinformatics and Genomic Networks (2 papers), Scientific Research and Philosophical Inquiry (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (430 citations), Artificial Intelligence (251 citations) and Computer Networks and Communications (91 citations). Lucas Antiqueira has collaborated with scholars based in Brazil, United States and Moldova. Frequent co-authors include Luciano da Fontoura Costa, Osvaldo N. Oliveira, Francisco A. Rodrigues, Matheus P. Viana, Osvaldo N. Oliveira, Luis E. C. Rocha, Paulino Ribeiro Villas-Boas, Gonzalo Travieso, Maria G. V. Nunes and Maria das Graças Volpe Nunes. Their work appears in journals such as Applied Physics Letters, NeuroImage and Information Sciences.
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.