Luís Seabra Lopes

1.5k citations
92 papers · 800 indexed · h-index 16
Topics
AI-based Problem Solving and Planning (24 papers)Robot Manipulation and Learning (15 papers)Advanced Image and Video Retrieval Techniques (15 papers)

In The Last Decade

Luís Seabra Lopes

82 papers receiving 744 citations

Peers

Luís Seabra Lopes
Comparison fields: 5 of 81
  • Artificial Intelligence 389
  • Computer Vision and Pattern Recognition 340
  • Control and Systems Engineering 256
  • Aerospace Engineering 139
  • Computer Networks and Communications 72
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Countries citing papers authored by Luís Seabra Lopes

Since Specialization
Citations

This map shows the geographic impact of Luís Seabra Lopes'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 Luís Seabra Lopes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luís Seabra Lopes more than expected).

Fields of papers citing papers by Luís Seabra Lopes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luís Seabra Lopes. 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 Luís Seabra Lopes. The network helps show where Luís Seabra Lopes may publish in the future.

Co-authorship network of co-authors of Luís Seabra Lopes

This figure shows the co-authorship network connecting the top 25 collaborators of Luís Seabra Lopes. A scholar is included among the top collaborators of Luís Seabra Lopes 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 Luís Seabra Lopes. Luís Seabra Lopes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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Destroyed by fire, preserved through time: crops and wood from a Late Bronze Age/Early Iron Age structure at Vila do Touro (Sabugal, Portugal)
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Hierarchical Object Representation for Open-Ended Object Category Learning and Recognition
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6 4
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D. Dinis: um Robô com Sentido de Orientação
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Manhattan-Pyramid Distance: A solution to an anomaly in pyramid matching by minimization
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Acquiring Vocabulary through Human Robot Interaction: A Learning Architecture for Grounding Words with Multiple Meanings
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Progress in artificial intelligence : 14th Portuguese Conference on Artificial Intelligence, EPIA 2009, Aveiro, Portugal, October 12-15, 2009, proceedings
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Integração de informação na equipa de futebol robótico CAMBADA
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18 15
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About Luís Seabra Lopes

Luís Seabra Lopes is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 92 papers that have together received 800 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (24 papers), Robot Manipulation and Learning (15 papers) and Advanced Image and Video Retrieval Techniques (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (340 citations), Artificial Intelligence (389 citations) and Control and Systems Engineering (256 citations). Luís Seabra Lopes has collaborated with scholars based in Portugal, United Kingdom and United States. Frequent co-authors include Hamidreza Kasaei, Ana Maria Tomé, Aneesh Chauhan, Miguel Oliveira, Gi Hyun Lim, Luís M. Camarinha-Matos, Jonathan H. Connell, Lúıs Almeida, Frederico Santos and Juil Sock. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Applied Energy.

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.

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