Tofunmi Ogunfunmi
Impact in
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- Machine Learning in Materials Science
- Quantum Dots Synthesis And Properties
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- Perovskite Materials and Applications
- Advanced Battery Materials and Technologies
- Advancements in Battery Materials
- Chalcogenide Semiconductor Thin Films
Papers in
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- Advanced Battery Materials and Technologies 8
- Advancements in Battery Materials 1
- Perovskite Materials and Applications 1
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- Machine Learning in Materials Science 1
- Co-authors
- Aaron Gilad Kusne (1 shared paper)Brian DeCost (1 shared paper)Ian Marius Peters (1 shared paper)Noor Titan Putri Hartono (1 shared paper)Juan‐Pablo Correa‐Baena (1 shared paper)Felipe Oviedo (1 shared paper)Zekun Ren (1 shared paper)Savitha Ramasamy (1 shared paper)
- Journals
- Joule (2 papers)Chemistry of Materials (1 paper)Science Advances (1 paper)ACS Nano (1 paper)Advanced Energy Materials (1 paper)
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Tofunmi Ogunfunmi
9 papers receiving 370 citations
Peers
Comparison fields: 5 of 33
- Materials Chemistry 180
- Electrical and Electronic Engineering 211
- Structural Biology 3
- Surfaces, Coatings and Films 7
- Renewable Energy, Sustainability and the Environment 11
Countries citing papers authored by Tofunmi Ogunfunmi
This map shows the geographic impact of Tofunmi Ogunfunmi'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 Tofunmi Ogunfunmi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tofunmi Ogunfunmi more than expected).
Fields of papers citing papers by Tofunmi Ogunfunmi
This network shows the impact of papers produced by Tofunmi Ogunfunmi. 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 Tofunmi Ogunfunmi. The network helps show where Tofunmi Ogunfunmi may publish in the future.
Co-authors
The 25 scholars most cited alongside Tofunmi Ogunfunmi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 281 | |
| 2 | 2023 | 28 | |
| 3 | 2024 | 23 | |
| 4 | 2024 | 11 | |
| 5 | 2024 | 11 | |
| 6 | 2021 | 9 | |
| 7 | 2025 | 7 | |
| 8 | 2025 | 5 | |
| 9 | 2024 | 2 |
About Tofunmi Ogunfunmi
Tofunmi Ogunfunmi is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 9 papers that have together received 377 indexed citations. Recurring topics across this work include Advanced Battery Materials and Technologies (8 papers), Advancements in Battery Materials (1 paper), Perovskite Materials and Applications (1 paper) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Materials Chemistry (180 citations), Electrical and Electronic Engineering (211 citations), Structural Biology (3 citations), Surfaces, Coatings and Films (7 citations) and Renewable Energy, Sustainability and the Environment (11 citations). Tofunmi Ogunfunmi has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Aaron Gilad Kusne, Brian DeCost, Ian Marius Peters, Noor Titan Putri Hartono, Juan‐Pablo Correa‐Baena, Felipe Oviedo, Zekun Ren, Savitha Ramasamy, Shijing Sun and Mariya Layurova. Their work appears in journals such as Joule, Chemistry of Materials, Science Advances, ACS Nano and Advanced Energy Materials.
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.