María T. Lázaro

About

María T. Lázaro is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, María T. Lázaro has authored 13 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Aerospace Engineering, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Mechanical Engineering. Recurrent topics in María T. Lázaro’s work include Robotics and Sensor-Based Localization (8 papers), Robotic Path Planning Algorithms (6 papers) and Modular Robots and Swarm Intelligence (4 papers). María T. Lázaro is often cited by papers focused on Robotics and Sensor-Based Localization (8 papers), Robotic Path Planning Algorithms (6 papers) and Modular Robots and Swarm Intelligence (4 papers). María T. Lázaro collaborates with scholars based in Spain, Italy and United States. María T. Lázaro's co-authors include Niall Murphy, Hoa A. Lam, Xiaojian Yang, Peyman Golshani, Xiao‐Hong Lu, Olga Peñagarikano, Daniel H. Geschwind, Nigel T. Maidment, Hongmei Dong and Elior Peles and has published in prestigious journals such as Science Translational Medicine, Sensors and Robotics and Autonomous Systems.

In The Last Decade

Co-authorship network of co-authors of María T. Lázaro i

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Fields of papers citing papers by María T. Lázaro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María T. Lázaro. 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 María T. Lázaro. The network helps show where María T. Lázaro may publish in the future.

Countries citing papers authored by María T. Lázaro

Since Specialization

Citations

This map shows the geographic impact of María T. Lázaro'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 María T. Lázaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María T. Lázaro 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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