Julian J. McMorrow

928 citations
17 papers · 784 indexed · h-index 14
Topics
Carbon Nanotubes in Composites (7 papers)Advanced Memory and Neural Computing (6 papers)Semiconductor materials and devices (5 papers)
Journals
Journal of the American Chemical SocietyAdvanced MaterialsSHILAP Revista de lepidopterología
Partner nations
United StatesIndiaFrance

In The Last Decade

Julian J. McMorrow

17 papers receiving 773 citations

Peers

Julian J. McMorrow
Comparison fields: 5 of 53
  • Materials Chemistry 552
  • Electrical and Electronic Engineering 472
  • Biomedical Engineering 229
  • Polymers and Plastics 89
  • Atomic and Molecular Physics, and Optics 85
Replace Shengman Li with:
Shengman Li China
Luckshitha Suriyasena Liyanage United States
Huiwen Shi China
Satoshi Oida United States
Darsen D. Lu United States
Songang Peng China
Myeongjae Lee South Korea
Rahul Pendurthi United States
Jianshuo Zhou China
Sharon Xiaodai Lim Singapore
Julian J. McMorrow relative to Shengman Li China Shengman Li's profile →
Citations per field
00.5×10×15×20×24.8×
Shengman Li · 1×
Citations per year

Countries citing papers authored by Julian J. McMorrow

Since Specialization
Citations

This map shows the geographic impact of Julian J. McMorrow'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 Julian J. McMorrow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian J. McMorrow more than expected).

Fields of papers citing papers by Julian J. McMorrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julian J. McMorrow. 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 Julian J. McMorrow. The network helps show where Julian J. McMorrow may publish in the future.

Co-authorship network of co-authors of Julian J. McMorrow

This figure shows the co-authorship network connecting the top 25 collaborators of Julian J. McMorrow. A scholar is included among the top collaborators of Julian J. McMorrow 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 Julian J. McMorrow. Julian J. McMorrow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 13
2 79
3 36
4 31
5 19
6 2
7 2
8 184
9 74
10 23
11 88
12 64
13 33
14 31
15 24
16 33
17 48

About Julian J. McMorrow

Julian J. McMorrow is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Hardware and Architecture, having authored 17 papers that have together received 784 indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (7 papers), Advanced Memory and Neural Computing (6 papers) and Semiconductor materials and devices (5 papers). The work is most often cited by research in Materials Chemistry (552 citations), Electrical and Electronic Engineering (472 citations) and Polymers and Plastics (89 citations). Julian J. McMorrow has collaborated with scholars based in United States, India and France. Frequent co-authors include Mark C. Hersam, Tobin J. Marks, Michael L. Geier, Chris H. Kim, Cory D. Cress, Weichao Xu, Jian Zhu, Jeremy T. Robinson, Vinod K. Sangwan and Adam L. Friedman. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and SHILAP Revista de lepidopterología.

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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