Nathan D. Ricke
- Renewable Energy, Sustainability and the Environment top 5%
- Electrical and Electronic Engineering top 10%
- Materials Chemistry
- Inorganic Chemistry top 10%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Troy Van VoorhisYogesh SurendranathJeffrey T. MillerMichael L. PegisAlexandra T. WrobelNicole J. LiBrettoKevin J. AndertonTravis Marshall-Roth
- Topics
- Machine Learning in Materials Science (4 papers)Electrocatalysts for Energy Conversion (4 papers)Advanced Chemical Physics Studies (4 papers)
- Journals
- Journal of the American Chemical SocietyNature CommunicationsThe Journal of Chemical Physics
- Partner nations
- United StatesChina
In The Last Decade
Nathan D. Ricke
13 papers receiving 767 citations
Hit Papers
Peers
Comparison fields: 5 of 49
- Renewable Energy, Sustainability and the Environment 463
- Electrical and Electronic Engineering 377
- Materials Chemistry 282
- Inorganic Chemistry 163
- Atomic and Molecular Physics, and Optics 69
Countries citing papers authored by Nathan D. Ricke
This map shows the geographic impact of Nathan D. Ricke'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 Nathan D. Ricke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan D. Ricke more than expected).
Fields of papers citing papers by Nathan D. Ricke
This network shows the impact of papers produced by Nathan D. Ricke. 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 Nathan D. Ricke. The network helps show where Nathan D. Ricke may publish in the future.
Co-authorship network of co-authors of Nathan D. Ricke
This figure shows the co-authorship network connecting the top 25 collaborators of Nathan D. Ricke. A scholar is included among the top collaborators of Nathan D. Ricke 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 Nathan D. Ricke. Nathan D. Ricke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | A pyridinic Fe-N4 macrocycle models the active sites in Fe/N-doped carbon electrocatalystsbreakdown → | 442 |
| 6 | 21 | |
| 7 | 37 | |
| 8 | 20 | |
| 9 | 179 | |
| 10 | 25 | |
| 11 | 34 | |
| 12 | 1 | |
| 13 | 4 |
About Nathan D. Ricke
Nathan D. Ricke is a scholar working on Process Chemistry and Technology, Renewable Energy, Sustainability and the Environment and Electrochemistry, having authored 13 papers that have together received 778 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), Electrocatalysts for Energy Conversion (4 papers) and Advanced Chemical Physics Studies (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (463 citations), Inorganic Chemistry (163 citations) and Electrochemistry (63 citations). Nathan D. Ricke has collaborated with scholars based in United States and China. Frequent co-authors include Troy Van Voorhis, Yogesh Surendranath, Jeffrey T. Miller, Michael L. Pegis, Alexandra T. Wrobel, Nicole J. LiBretto, Kevin J. Anderton, Travis Marshall-Roth, Mircea Dincă and Sheraz Gul. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and The Journal of Chemical Physics.
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.