Kate J. Norris
- Electrical and Electronic Engineering top 5%
- Cellular and Molecular Neuroscience top 5%
- Polymers and Plastics top 10%
- Materials Chemistry
- Cognitive Neuroscience top 10%
- Co-authors
- R. Stanley WilliamsJ. Joshua YangNobuhiko P. KobayashiByung Joon ChoiJohn Paul StrachanJiaming ZhangZhiyong LiDouglas A. A. Ohlberg
- Topics
- Advanced Memory and Neural Computing (13 papers)Nanowire Synthesis and Applications (13 papers)Advanced Thermoelectric Materials and Devices (8 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringPolymers and Plastics
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Kate J. Norris
34 papers receiving 940 citations
Hit Papers
Peers
Comparison fields: 5 of 38
- Electrical and Electronic Engineering 890
- Cellular and Molecular Neuroscience 326
- Polymers and Plastics 209
- Materials Chemistry 201
- Cognitive Neuroscience 105
Countries citing papers authored by Kate J. Norris
This map shows the geographic impact of Kate J. Norris'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 Kate J. Norris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate J. Norris more than expected).
Fields of papers citing papers by Kate J. Norris
This network shows the impact of papers produced by Kate J. Norris. 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 Kate J. Norris. The network helps show where Kate J. Norris may publish in the future.
Co-authorship network of co-authors of Kate J. Norris
This figure shows the co-authorship network connecting the top 25 collaborators of Kate J. Norris. A scholar is included among the top collaborators of Kate J. Norris 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 Kate J. Norris. Kate J. Norris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 161 | |
| 2 | Anatomy of Ag/Hafnia‐Based Selectors with 1010 Nonlinearitybreakdown → | 324 |
| 3 | 19 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | Materials growth and characterization of thermoelectric and resistive switching devices | 1 |
| 7 | 1 | |
| 8 | 23 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 0 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 6 |
About Kate J. Norris
Kate J. Norris is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Materials Chemistry, having authored 36 papers that have together received 961 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (13 papers), Nanowire Synthesis and Applications (13 papers) and Advanced Thermoelectric Materials and Devices (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (326 citations), Electrical and Electronic Engineering (890 citations) and Polymers and Plastics (209 citations). Kate J. Norris has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include R. Stanley Williams, J. Joshua Yang, Nobuhiko P. Kobayashi, Byung Joon Choi, John Paul Strachan, Jiaming Zhang, Zhiyong Li, Douglas A. A. Ohlberg, Ning Ge and Mark Barnell. Their work appears in journals such as Advanced Materials, Nature Communications and Nano Letters.
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.