Fast and programmable locomotion of hydrogel-metal hybrids under light and magnetic fields
- Journal
- Science Robotics
In The Last Decade
doi.org/10.1126/scirobotics.abb9822 →Countries where authors are citing Fast and programmable locomotion of hydrogel-metal hybrids under light and magnetic fields
This map shows the geographic impact of Fast and programmable locomotion of hydrogel-metal hybrids under light and magnetic fields. 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 Fast and programmable locomotion of hydrogel-metal hybrids under light and magnetic fields with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fast and programmable locomotion of hydrogel-metal hybrids under light and magnetic fields more than expected).
Fields of papers citing Fast and programmable locomotion of hydrogel-metal hybrids under light and magnetic fields
This network shows the impact of Fast and programmable locomotion of hydrogel-metal hybrids under light and magnetic fields. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Fast and programmable locomotion of hydrogel-metal hybrids under light and magnetic fields.
About Fast and programmable locomotion of hydrogel-metal hybrids under light and magnetic fields
This paper, published in 2020, received 244 indexed citations . Written by Chuang Li, Hang Yuan, Víctor López‐Domínguez, Shuangping Liu, Hiroaki Sai, Liam C. Palmer, Nicholas A. Sather, T. Pearson, Danna E. Freedman and Pedram Khalili Amiri covering the research area of Condensed Matter Physics and Mechanical Engineering. It is primarily cited by scholars working on Mechanical Engineering (176 citations), Biomedical Engineering (154 citations) and Condensed Matter Physics (132 citations). Published in Science Robotics.
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.
This paper is also available at doi.org/10.1126/scirobotics.abb9822.