Daniel J. Rivera
Impact in
- Catalysis top 1%
- Ammonia Synthesis and Nitrogen Reduction
-
- Advanced Photocatalysis Techniques
- Electrocatalysts for Energy Conversion
- CO2 Reduction Techniques and Catalysts
Papers in
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- Ammonia Synthesis and Nitrogen Reduction 6
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- Catalytic Processes in Materials Science 2
- Hydrogen Storage and Materials 1
- MXene and MAX Phase Materials 1
- Co-authors
- Christopher L. Muhich (6 shared papers)Srishti Gupta (2 shared papers)Feng-Yang Chen (1 shared paper)Graham King (1 shared paper)Guanhui Gao (2 shared papers)Débora Motta Meira (1 shared paper)Sten Lambeets (1 shared paper)Peng Zhu (1 shared paper)
- Journals
- Small (1 paper)Surface Science (1 paper)Nature Nanotechnology (1 paper)Frontiers in Robotics and AI (1 paper)ACS ES&T Engineering (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Daniel J. Rivera
6 papers receiving 912 citations
Daniel J. Rivera's Hit Papers
Peers
Comparison fields: 5 of 39
- Catalysis 804
- Renewable Energy, Sustainability and the Environment 652
- Computer Networks and Communications 393
- Organic Chemistry 165
- Materials Chemistry 248
Countries citing papers authored by Daniel J. Rivera
This map shows the geographic impact of Daniel J. Rivera'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 Daniel J. Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Rivera more than expected).
Fields of papers citing papers by Daniel J. Rivera
This network shows the impact of papers produced by Daniel J. Rivera. 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 Daniel J. Rivera. The network helps show where Daniel J. Rivera may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Rivera, 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 | Efficient conversion of low-concentration nitrate sources into ammonia on a Ru-dispersed Cu nanowire electrocatalyst Hit paper breakdown → | 2022 | 885 |
| 2 | 2018 | 13 | |
| 3 | 2025 | 7 | |
| 4 | 2023 | 6 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 5 | |
| 7 | 2024 | 0 |
About Daniel J. Rivera
Daniel J. Rivera is a scholar working on Catalysis, Materials Chemistry, Computer Networks and Communications, Renewable Energy, Sustainability and the Environment and Organic Chemistry, having authored 7 papers that have together received 922 indexed citations. Recurring topics across this work include Ammonia Synthesis and Nitrogen Reduction (6 papers), Advanced Photocatalysis Techniques (3 papers), Caching and Content Delivery (2 papers), Catalytic Processes in Materials Science (2 papers), Hydrogen Storage and Materials (1 paper), Advanced Data Storage Technologies (1 paper), MXene and MAX Phase Materials (1 paper) and Nanomaterials for catalytic reactions (1 paper). The work is most often cited by research in Catalysis (804 citations), Renewable Energy, Sustainability and the Environment (652 citations), Computer Networks and Communications (393 citations), Organic Chemistry (165 citations) and Materials Chemistry (248 citations). Daniel J. Rivera has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Christopher L. Muhich, Srishti Gupta, Feng-Yang Chen, Graham King, Guanhui Gao, Débora Motta Meira, Sten Lambeets, Peng Zhu, Zhenyu Wu and Yimo Han. Their work appears in journals such as Small, Surface Science, Nature Nanotechnology, Frontiers in Robotics and AI and ACS ES&T Engineering.
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.