Muhammed Shuaibi
- Materials Chemistry top 10%
- Renewable Energy, Sustainability and the Environment top 10%
- Computational Theory and Mathematics top 5%
- Catalysis top 10%
- Electrical and Electronic Engineering
- Co-authors
- Zachary W. UlissiC. Lawrence ZitnickAbhishek DasBrandon M. WoodSiddharth GoyalAini PalizhatiAnuroop SriramJavier Heras‐Domingo
- Topics
- Machine Learning in Materials Science (11 papers)Electrocatalysts for Energy Conversion (3 papers)Advanced Photocatalysis Techniques (2 papers)
- Partner nations
- United StatesDenmarkIndia
In The Last Decade
Muhammed Shuaibi
11 papers receiving 758 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Materials Chemistry 675
- Renewable Energy, Sustainability and the Environment 221
- Computational Theory and Mathematics 170
- Catalysis 136
- Electrical and Electronic Engineering 121
Countries citing papers authored by Muhammed Shuaibi
This map shows the geographic impact of Muhammed Shuaibi'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 Muhammed Shuaibi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammed Shuaibi more than expected).
Fields of papers citing papers by Muhammed Shuaibi
This network shows the impact of papers produced by Muhammed Shuaibi. 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 Muhammed Shuaibi. The network helps show where Muhammed Shuaibi may publish in the future.
Co-authorship network of co-authors of Muhammed Shuaibi
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammed Shuaibi. A scholar is included among the top collaborators of Muhammed Shuaibi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Muhammed Shuaibi. Muhammed Shuaibi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 13 | |
| 3 | 5 | |
| 4 | 54 | |
| 5 | 3 | |
| 6 | 15 | |
| 7 | The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalystsbreakdown → | 174 |
| 8 | 48 | |
| 9 | 22 | |
| 10 | Open Catalyst 2020 (OC20) Dataset and Community Challengesbreakdown → | 440 |
| 11 | 12 |
About Muhammed Shuaibi
Muhammed Shuaibi is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Hardware and Architecture, having authored 11 papers that have together received 787 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (11 papers), Electrocatalysts for Energy Conversion (3 papers) and Advanced Photocatalysis Techniques (2 papers). The work is most often cited by research in Catalysis (136 citations), Materials Chemistry (675 citations) and Renewable Energy, Sustainability and the Environment (221 citations). Muhammed Shuaibi has collaborated with scholars based in United States, Denmark and India. Frequent co-authors include Zachary W. Ulissi, C. Lawrence Zitnick, Abhishek Das, Brandon M. Wood, Siddharth Goyal, Aini Palizhati, Anuroop Sriram, Javier Heras‐Domingo, Morgane Rivière and Weihua Hu. Their work appears in journals such as The Journal of Chemical Physics, ACS Catalysis and The Journal of Physical Chemistry C.
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.