Jonathan Rivnay
Impact in
- Polymers and Plastics top 0.01%
- Conducting polymers and applications
- Bioengineering top 0.02%
- Analytical Chemistry and Sensors
Papers in
-
- Conducting polymers and applications 130
-
- Organic Electronics and Photovoltaics 89
- Advanced Memory and Neural Computing 30
- Perovskite Materials and Applications 22
- Thin-Film Transistor Technologies 10
- Co-authors
- George G. Malliaras (46 shared papers)Alberto Salleo (30 shared papers)Sahika Inal (27 shared papers)Iain McCulloch (41 shared papers)Michael F. Toney (13 shared papers)Róisı́n M. Owens (18 shared papers)Bryan D. Paulsen (40 shared papers)Eleni Stavrinidou (7 shared papers)
- Journals
- Advanced Materials (24 papers)Nature Communications (14 papers)Advanced Functional Materials (12 papers)Chemistry of Materials (9 papers)Journal of Materials Chemistry C (7 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Jonathan Rivnay
172 papers receiving 25.2k citations
Jonathan Rivnay's Hit Papers
Peers
Comparison fields: 5 of 134
- Polymers and Plastics 18.5k
- Bioengineering 3.0k
- Electrical and Electronic Engineering 18.8k
- Biomedical Engineering 7.7k
- Cellular and Molecular Neuroscience 2.9k
Countries citing papers authored by Jonathan Rivnay
This map shows the geographic impact of Jonathan Rivnay'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 Jonathan Rivnay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Rivnay more than expected).
Fields of papers citing papers by Jonathan Rivnay
This network shows the impact of papers produced by Jonathan Rivnay. 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 Jonathan Rivnay. The network helps show where Jonathan Rivnay may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Rivnay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A general relationship between disorder, aggregation and charge transport in conjugated polymers Hit paper breakdown → | 2013 | 1887 |
| 2 | Organic electrochemical transistors Hit paper breakdown → | 2018 | 1587 |
| 3 | Materials and Applications for Large Area Electronics: Solution-Based Approaches Hit paper breakdown → | 2010 | 1540 |
| 4 | Quantitative Determination of Organic Semiconductor Microstructure from the Molecular to Device Scale Hit paper breakdown → | 2012 | 1261 |
| 5 | Structural control of mixed ionic and electronic transport in conducting polymers Hit paper breakdown → | 2016 | 770 |
| 6 | Organic mixed ionic–electronic conductors Hit paper breakdown → | 2019 | 737 |
| 7 | High transconductance organic electrochemical transistors Hit paper breakdown → | 2013 | 715 |
| 8 | High-performance transistors for bioelectronics through tuning of channel thickness Hit paper breakdown → | 2015 | 610 |
| 9 | The Rise of Organic Bioelectronics Hit paper breakdown → | 2013 | 600 |
| 10 | Controlling the mode of operation of organic transistors through side-chain engineering Hit paper breakdown → | 2016 | 464 |
| 11 | Benchmarking organic mixed conductors for transistors Hit paper breakdown → | 2017 | 454 |
| 12 | Conjugated Polymers in Bioelectronics Hit paper breakdown → | 2018 | 442 |
| 13 | Influence of PEDOT:PSS crystallinity and composition on electrochemical transistor performance and long-term stability Hit paper breakdown → | 2018 | 416 |
| 14 | Next-generation probes, particles, and proteins for neural interfacing Hit paper breakdown → | 2017 | 412 |
| 15 | Large modulation of carrier transport by grain-boundary molecular packing and microstructure in organic thin films Hit paper breakdown → | 2009 | 407 |
| 16 | 2009 | 356 | |
| 17 | 2010 | 352 | |
| 18 | 2016 | 350 | |
| 19 | 2016 | 327 | |
| 20 | 2018 | 323 |
About Jonathan Rivnay
Jonathan Rivnay is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering, Biomedical Engineering, Cellular and Molecular Neuroscience and Bioengineering, having authored 176 papers that have together received 25.3k indexed citations. Recurring topics across this work include Conducting polymers and applications (130 papers), Organic Electronics and Photovoltaics (89 papers), Advanced Sensor and Energy Harvesting Materials (35 papers), Analytical Chemistry and Sensors (32 papers), Neuroscience and Neural Engineering (31 papers), Advanced Memory and Neural Computing (30 papers), Perovskite Materials and Applications (22 papers) and Thin-Film Transistor Technologies (10 papers). The work is most often cited by research in Polymers and Plastics (18.5k citations), Bioengineering (3.0k citations), Electrical and Electronic Engineering (18.8k citations), Biomedical Engineering (7.7k citations) and Cellular and Molecular Neuroscience (2.9k citations). Jonathan Rivnay has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include George G. Malliaras, Alberto Salleo, Sahika Inal, Iain McCulloch, Michael F. Toney, Róisı́n M. Owens, Bryan D. Paulsen, Eleni Stavrinidou, Michele Sessolo and Rodrigo Noriega. Their work appears in journals such as Advanced Materials, Nature Communications, Advanced Functional Materials, Chemistry of Materials and Journal of Materials 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.