Tae‐Beom Kim
Impact in
- Sensory Systems top 10%
- Olfactory and Sensory Function Studies
Papers in
-
- Evolutionary Algorithms and Applications 2
-
- Advanced Mathematical Modeling in Engineering 3
- Co-authors
- Heejo Lee (4 shared papers)Kevin T. Nead (4 shared papers)Hongzhe Li (2 shared papers)Ryan M. Carey (3 shared papers)Robert J. Lee (3 shared papers)Ken Chen (4 shared papers)Hyunchul Jung (1 shared paper)Haemin Park (1 shared paper)
- Journals
- Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas (2 papers)Journal of Clinical Oncology (1 paper)Clinical Cancer Research (1 paper)Cell Reports (1 paper)Blood Advances (1 paper)
- Partner nations
- United StatesSouth KoreaFrance
In The Last Decade
Tae‐Beom Kim
16 papers receiving 265 citations
Peers
Comparison fields: 5 of 59
- Sensory Systems 28
- Software 18
- Signal Processing 46
- Nutrition and Dietetics 59
- Urology 13
Countries citing papers authored by Tae‐Beom Kim
This map shows the geographic impact of Tae‐Beom 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 Tae‐Beom Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae‐Beom Kim more than expected).
Fields of papers citing papers by Tae‐Beom Kim
This network shows the impact of papers produced by Tae‐Beom 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 Tae‐Beom Kim. The network helps show where Tae‐Beom Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Tae‐Beom Kim, 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 | 2017 | 52 | |
| 2 | 2021 | 26 | |
| 3 | 2023 | 24 | |
| 4 | 2012 | 22 | |
| 5 | 2013 | 20 | |
| 6 | 2017 | 19 | |
| 7 | 2022 | 19 | |
| 8 | 2021 | 18 | |
| 9 | 2011 | 16 | |
| 10 | 2014 | 13 | |
| 11 | 2024 | 12 | |
| 12 | 2013 | 12 | |
| 13 | 2016 | 9 | |
| 14 | 2019 | 3 | |
| 15 | 2010 | 3 | |
| 16 | 2010 | 2 | |
| 17 | A depth-integrated numerical model considering the secondary flows in the channel bend | 2009 | 0 |
| 18 | 2020 | 0 | |
| 19 | 2010 | 0 |
About Tae‐Beom Kim
Tae‐Beom Kim is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Sensory Systems, Applied Mathematics and Nutrition and Dietetics, having authored 19 papers that have together received 270 indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (3 papers), Nonlinear Partial Differential Equations (3 papers), Advanced Mathematical Modeling in Engineering (3 papers), Biochemical Analysis and Sensing Techniques (3 papers), Evolutionary Algorithms and Applications (2 papers), Software Engineering Research (2 papers), Colorectal and Anal Carcinomas (2 papers) and Advanced Chemical Sensor Technologies (2 papers). The work is most often cited by research in Sensory Systems (28 citations), Software (18 citations), Signal Processing (46 citations), Nutrition and Dietetics (59 citations) and Urology (13 citations). Tae‐Beom Kim has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Heejo Lee, Kevin T. Nead, Hongzhe Li, Ryan M. Carey, Robert J. Lee, Ken Chen, Hyunchul Jung, Haemin Park, Hyundo Park and Wai Chin Foo. Their work appears in journals such as Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas, Journal of Clinical Oncology, Clinical Cancer Research, Cell Reports and Blood Advances.
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.