Jason Z. Kim
- Computer Networks and Communications top 5%
- Infectious Diseases top 5%
- Epidemiology
- Hardware and Architecture top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Theoklis E. ZaoutisKateri H. LeckermanSarah SmathersSusan CoffinPriya A. PrasadDanielle S. BassettZhixin LuDani S. Bassett
- Topics
- Neural dynamics and brain function (13 papers)Functional Brain Connectivity Studies (6 papers)Advanced Memory and Neural Computing (5 papers)
- Journals
- Nature MaterialsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Jason Z. Kim
33 papers receiving 941 citations
Peers
Comparison fields: 5 of 119
- Computer Networks and Communications 267
- Infectious Diseases 266
- Epidemiology 212
- Hardware and Architecture 199
- Cognitive Neuroscience 190
Countries citing papers authored by Jason Z. Kim
This map shows the geographic impact of Jason Z. Kim'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 Jason Z. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Z. Kim more than expected).
Fields of papers citing papers by Jason Z. Kim
This network shows the impact of papers produced by Jason Z. Kim. 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 Jason Z. Kim. The network helps show where Jason Z. Kim may publish in the future.
Co-authorship network of co-authors of Jason Z. Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Jason Z. Kim. A scholar is included among the top collaborators of Jason Z. Kim 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 Jason Z. Kim. Jason Z. Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 13 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 19 | |
| 13 | 6 | |
| 14 | 33 | |
| 15 | 11 | |
| 16 | Network topology of neural systems supporting avalanche dynamics predicts stimulus propagation and recovery | 1 |
| 17 | 77 | |
| 18 | 51 | |
| 19 | 237 | |
| 20 | 0 |
About Jason Z. Kim
Jason Z. Kim is a scholar working on Cognitive Neuroscience, History and Philosophy of Science and Critical Care and Intensive Care Medicine, having authored 36 papers that have together received 988 indexed citations. Recurring topics across this work include Neural dynamics and brain function (13 papers), Functional Brain Connectivity Studies (6 papers) and Advanced Memory and Neural Computing (5 papers). The work is most often cited by research in Hardware and Architecture (199 citations), Infectious Diseases (266 citations) and Computer Networks and Communications (267 citations). Jason Z. Kim has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Theoklis E. Zaoutis, Kateri H. Leckerman, Sarah Smathers, Susan Coffin, Priya A. Prasad, Danielle S. Bassett, Zhixin Lu, Dani S. Bassett, George J. Pappas and Erfan Nozari. Their work appears in journals such as Nature Materials, SHILAP Revista de lepidopterología and PLoS ONE.
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.