Kate J. Norris

47 total papers · 1.1k total citations
36 papers, 952 citations indexed

About

Kate J. Norris is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Kate J. Norris has authored 36 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 16 papers in Materials Chemistry and 13 papers in Biomedical Engineering. Recurrent topics in Kate J. Norris's work include Nanowire Synthesis and Applications (13 papers), Advanced Memory and Neural Computing (13 papers) and Advanced Thermoelectric Materials and Devices (8 papers). Kate J. Norris is often cited by papers focused on Nanowire Synthesis and Applications (13 papers), Advanced Memory and Neural Computing (13 papers) and Advanced Thermoelectric Materials and Devices (8 papers). Kate J. Norris collaborates with scholars based in United States, China and South Korea. Kate J. Norris's 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 Hao Jiang and has published in prestigious journals such as Advanced Materials, Nature Communications and Nano Letters.

In The Last Decade

Kate J. Norris

34 papers receiving 931 citations

Hit Papers

Anatomy of Ag/Hafnia‐Base... 2017 2026 2020 2023 2017 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kate J. Norris 880 325 208 199 105 36 952
Andrew J. Lohn 687 0.8× 281 0.9× 112 0.5× 151 0.8× 91 0.9× 44 888
Kyung-Hyun Kim 924 1.1× 258 0.8× 145 0.7× 159 0.8× 62 0.6× 52 1.1k
Abhishek A. Sharma 688 0.8× 193 0.6× 222 1.1× 195 1.0× 77 0.7× 46 966
Ziwen Wang 761 0.9× 264 0.8× 161 0.8× 135 0.7× 192 1.8× 42 951
Cong Wang 836 0.9× 260 0.8× 126 0.6× 291 1.5× 76 0.7× 30 1.1k
Victoria Chen 761 0.9× 220 0.7× 127 0.6× 520 2.6× 42 0.4× 16 1.0k
Jinbao Jiang 940 1.1× 262 0.8× 152 0.7× 508 2.6× 128 1.2× 37 1.2k
Yongbiao Zhai 998 1.1× 319 1.0× 213 1.0× 533 2.7× 54 0.5× 51 1.2k
Sijung Yoo 823 0.9× 229 0.7× 186 0.9× 405 2.0× 57 0.5× 31 927
Revannath Dnyandeo Nikam 893 1.0× 215 0.7× 214 1.0× 370 1.9× 63 0.6× 27 1.1k

Countries citing papers authored by Kate J. Norris

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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