Open Catalyst 2020 (OC20) Dataset and Community Challenges
- Journal
- ACS Catalysis
In The Last Decade
doi.org/10.1021/acscatal.0c04525 →Countries where authors are citing Open Catalyst 2020 (OC20) Dataset and Community Challenges
This map shows the geographic impact of Open Catalyst 2020 (OC20) Dataset and Community Challenges. 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 Open Catalyst 2020 (OC20) Dataset and Community Challenges with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Open Catalyst 2020 (OC20) Dataset and Community Challenges more than expected).
Fields of papers citing Open Catalyst 2020 (OC20) Dataset and Community Challenges
This network shows the impact of Open Catalyst 2020 (OC20) Dataset and Community Challenges. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Open Catalyst 2020 (OC20) Dataset and Community Challenges.
About Open Catalyst 2020 (OC20) Dataset and Community Challenges
This paper, published in 2021, received 440 indexed citations . Written by Abhishek Das, Siddharth Goyal, Thibaut Lavril, Muhammed Shuaibi, Morgane Rivière, Kevin Tran, Javier Heras‐Domingo, Weihua Hu, Aini Palizhati and Anuroop Sriram covering the research area of Materials Chemistry and Renewable Energy, Sustainability and the Environment. It is primarily cited by scholars working on Materials Chemistry (386 citations), Renewable Energy, Sustainability and the Environment (129 citations) and Computational Theory and Mathematics (94 citations). Published in ACS Catalysis.
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/10.1021/acscatal.0c04525.