Martim Brandão

65 total papers · 468 total citations
43 papers, 282 citations indexed

About

Martim Brandão is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Martim Brandão has authored 43 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 12 papers in Biomedical Engineering. Recurrent topics in Martim Brandão's work include Robotics and Sensor-Based Localization (10 papers), Robotic Locomotion and Control (10 papers) and Robot Manipulation and Learning (8 papers). Martim Brandão is often cited by papers focused on Robotics and Sensor-Based Localization (10 papers), Robotic Locomotion and Control (10 papers) and Robot Manipulation and Learning (8 papers). Martim Brandão collaborates with scholars based in United Kingdom, Japan and Portugal. Martim Brandão's co-authors include Atsuo Takanishi, Kenji Hashimoto, José Santos-Victor, Massimiliano Zecca, Ioannis Havoutis, Paul Luff, Helena Webb, Marina Jirotka, Rui Pimentel de Figueiredo and Andrew Coles and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Frontiers in Psychology.

In The Last Decade

Martim Brandão

39 papers receiving 272 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Martim Brandão 88 83 67 66 52 43 282
Raymond Sheh 87 1.0× 81 1.0× 48 0.7× 74 1.1× 80 1.5× 35 292
Yang Ye 50 0.6× 50 0.6× 28 0.4× 71 1.1× 26 0.5× 29 310
Adam Norton 59 0.7× 46 0.6× 95 1.4× 109 1.7× 31 0.6× 27 301
Christophe Leroux 65 0.7× 31 0.4× 64 1.0× 106 1.6× 39 0.8× 26 268
Artur Pereira 78 0.9× 35 0.4× 43 0.6× 46 0.7× 59 1.1× 45 247
Konstantinos Papoutsakis 133 1.5× 104 1.3× 42 0.6× 61 0.9× 14 0.3× 18 323
David St-Onge 58 0.7× 36 0.4× 56 0.8× 97 1.5× 60 1.2× 43 313
Nicolás Navarro-Guerrero 55 0.6× 129 1.6× 30 0.4× 67 1.0× 11 0.2× 20 275
Daehyung Park 101 1.1× 166 2.0× 44 0.7× 146 2.2× 19 0.4× 26 321
Takuya Kiyokawa 52 0.6× 26 0.3× 45 0.7× 98 1.5× 28 0.5× 35 330

Countries citing papers authored by Martim Brandão

Since Specialization
Citations

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

Fields of papers citing papers by Martim Brandão

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martim Brandão. 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 Martim Brandão. The network helps show where Martim Brandão may publish in the future.

Co-authorship network of co-authors of Martim Brandão

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

All Works

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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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