Iris R. Stone
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Memory and Neural Mechanisms
Papers in
-
- Chalcogenide Semiconductor Thin Films 2
- Perovskite Materials and Applications 2
- Organic Electronics and Photovoltaics 1
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- 2D Materials and Applications 3
- Co-authors
- Zoe C. Ashwood (2 shared papers)Jonathan W. Pillow (2 shared papers)Alexandre Pouget (1 shared paper)Nicholas Roy (1 shared paper)Anne E Urai (1 shared paper)Anne K. Churchland (1 shared paper)Patrick M. Vora (4 shared papers)Albert V. Davydov (3 shared papers)
- Journals
- Nature Neuroscience (2 papers)ACS Applied Electronic Materials (1 paper)2D Materials (1 paper)PubMed (1 paper)
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Iris R. Stone
6 papers receiving 244 citations
Peers
Comparison fields: 5 of 46
- Cognitive Neuroscience 101
- General Decision Sciences 6
- Sensory Systems 13
- Materials Chemistry 95
- Cellular and Molecular Neuroscience 34
Countries citing papers authored by Iris R. Stone
This map shows the geographic impact of Iris R. Stone'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 Iris R. Stone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iris R. Stone more than expected).
Fields of papers citing papers by Iris R. Stone
This network shows the impact of papers produced by Iris R. Stone. 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 Iris R. Stone. The network helps show where Iris R. Stone may publish in the future.
Co-authors
The 25 scholars most cited alongside Iris R. Stone, 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 | 2022 | 91 | |
| 2 | 2017 | 69 | |
| 3 | 2022 | 47 | |
| 4 | Phonon Anharmonicity in Bulk T d -MoTe2. | 2016 | 29 |
| 5 | 2022 | 7 | |
| 6 | 2017 | 1 |
About Iris R. Stone
Iris R. Stone is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electronic, Optical and Magnetic Materials, having authored 6 papers that have together received 244 indexed citations. Recurring topics across this work include 2D Materials and Applications (3 papers), Chalcogenide Semiconductor Thin Films (2 papers), Neural dynamics and brain function (2 papers), Perovskite Materials and Applications (2 papers), Zebrafish Biomedical Research Applications (1 paper), Topological Materials and Phenomena (1 paper), Organic Electronics and Photovoltaics (1 paper) and Heusler alloys: electronic and magnetic properties (1 paper). The work is most often cited by research in Cognitive Neuroscience (101 citations), General Decision Sciences (6 citations), Sensory Systems (13 citations), Materials Chemistry (95 citations) and Cellular and Molecular Neuroscience (34 citations). Iris R. Stone has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Zoe C. Ashwood, Jonathan W. Pillow, Alexandre Pouget, Nicholas Roy, Anne E Urai, Anne K. Churchland, Patrick M. Vora, Albert V. Davydov, Ryan Beams and Sergiy Krylyuk. Their work appears in journals such as Nature Neuroscience, ACS Applied Electronic Materials, 2D Materials and PubMed.
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.