Daniel Maturana

8 papers and 2.2k indexed citations i.

About

Daniel Maturana is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Daniel Maturana has authored 8 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Aerospace Engineering, 7 papers in Computer Vision and Pattern Recognition and 1 paper in Artificial Intelligence. Recurrent topics in Daniel Maturana’s work include Robotics and Sensor-Based Localization (7 papers), Advanced Neural Network Applications (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Daniel Maturana is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Advanced Neural Network Applications (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Daniel Maturana collaborates with scholars based in United States, China and Chile. Daniel Maturana's co-authors include Sebastian Scherer, Alexei A. Efros, Bryan Russell, Mathieu Aubry, Josef Šivic, Po-Wei Chou, Ruijie He, Michael Krainin, Albert S. Huang and Samuel Prentice and has published in prestigious journals such as The International Journal of Robotics Research, Journal of Intelligent & Robotic Systems and 2009 IEEE Conference on Computer Vision and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Daniel Maturana i

Fields of papers citing papers by Daniel Maturana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Maturana

Since Specialization
Citations

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

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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