Won Kim
Impact in
-
- Advanced Database Systems and Queries
- Neurology top 5%
Papers in
- Surgery 23
-
- Pituitary Gland Disorders and Treatments 19
- Co-authors
- Jay Banerjee (3 shared papers)Hyoung-Joo Kim (2 shared papers)Henry F. Korth (2 shared papers)Hong‐Tai Chou (2 shared papers)Isaac Yang (16 shared papers)Nader Pouratian (14 shared papers)Linda M. Liau (6 shared papers)Jong‐Min Woo (3 shared papers)
- Journals
- Neurosurgery Clinics of North America (5 papers)Journal of neurosurgery (5 papers)World Neurosurgery (3 papers)Archives of Pharmacal Research (3 papers)ACM SIGMOD Record (3 papers)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Won Kim
118 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 171
- Computer Networks and Communications 613
- Neurology 408
- Genetics 275
- Signal Processing 246
- Neurology 154
Countries citing papers authored by Won Kim
This map shows the geographic impact of Won 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 Won Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Kim more than expected).
Fields of papers citing papers by Won Kim
This network shows the impact of papers produced by Won 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 Won Kim. The network helps show where Won Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Won 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
Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 365 | |
| 2 | 2013 | 145 | |
| 3 | 2011 | 142 | |
| 4 | 1987 | 135 | |
| 5 | 2011 | 135 | |
| 6 | 2009 | 124 | |
| 7 | 2004 | 119 | |
| 8 | 2019 | 117 | |
| 9 | 2011 | 90 | |
| 10 | Versions of Schema for Object-Oriented Databases | 1988 | 86 |
| 11 | 1987 | 62 | |
| 12 | 2009 | 58 | |
| 13 | Multimedia Information Management in an Object-Oriented Database System | 1987 | 55 |
| 14 | 2006 | 55 | |
| 15 | 2012 | 53 | |
| 16 | 2012 | 46 | |
| 17 | 2009 | 42 | |
| 18 | 2001 | 42 | |
| 19 | 2011 | 39 | |
| 20 | 2019 | 37 |
About Won Kim
Won Kim is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Genetics, Neurology and Pulmonary and Respiratory Medicine, having authored 136 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (19 papers), Glioma Diagnosis and Treatment (17 papers), Advanced Database Systems and Queries (13 papers), Cerebrospinal fluid and hydrocephalus (8 papers), Meningioma and schwannoma management (8 papers), Data Management and Algorithms (7 papers), Semantic Web and Ontologies (6 papers) and Brain Metastases and Treatment (6 papers). The work is most often cited by research in Computer Networks and Communications (613 citations), Neurology (408 citations), Genetics (275 citations), Signal Processing (246 citations) and Neurology (154 citations). Won Kim has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Jay Banerjee, Hyoung-Joo Kim, Henry F. Korth, Hong‐Tai Chou, Isaac Yang, Nader Pouratian, Linda M. Liau, Jong‐Min Woo, Daniel T. Nagasawa and Andrew Yew. Their work appears in journals such as Neurosurgery Clinics of North America, Journal of neurosurgery, World Neurosurgery, Archives of Pharmacal Research and ACM SIGMOD Record.
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.