Atomic cobalt on nitrogen-doped graphene for hydrogen generation
- Journal
- Nature Communications
In The Last Decade
doi.org/10.1038/ncomms9668 →Countries where authors are citing Atomic cobalt on nitrogen-doped graphene for hydrogen generation
This map shows the geographic impact of Atomic cobalt on nitrogen-doped graphene for hydrogen generation. 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 Atomic cobalt on nitrogen-doped graphene for hydrogen generation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atomic cobalt on nitrogen-doped graphene for hydrogen generation more than expected).
Fields of papers citing Atomic cobalt on nitrogen-doped graphene for hydrogen generation
This network shows the impact of Atomic cobalt on nitrogen-doped graphene for hydrogen generation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Atomic cobalt on nitrogen-doped graphene for hydrogen generation.
About Atomic cobalt on nitrogen-doped graphene for hydrogen generation
This paper, published in 2015, received 1.5k indexed citations . Written by Huilong Fei, Juncai Dong, M. Josefina Arellano-Jiménez, Gonglan Ye, Nam Dong Kim, Errol L. G. Samuel, Zhiwei Peng, Zhuan Zhu, Fan Qin and Jiming Bao covering the research area of Renewable Energy, Sustainability and the Environment, Materials Chemistry and Catalysis. It is primarily cited by scholars working on Renewable Energy, Sustainability and the Environment (1.2k citations), Electrical and Electronic Engineering (757 citations) and Materials Chemistry (636 citations). Published in Nature Communications.
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/10.1038/ncomms9668.