David Ko
Impact in
- Neurology top 5%
- Vagus Nerve Stimulation Research
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
Papers in
-
- Mobile Agent-Based Network Management 5
- Optimization and Search Problems 3
- Surgery 6
- Co-authors
- Alon Halevy (3 shared papers)Jayant Madhavan (3 shared papers)Alex Rasmussen (1 shared paper)Łucja Kot (1 shared paper)Shawn R. Jeffery (2 shared papers)Shirley Cohen (2 shared papers)Cong Yu (2 shared papers)Dong Xin (1 shared paper)
- Journals
- Neurosurgery (2 papers)Journal of Neuroimmunology (2 papers)The American Journal of Surgery (2 papers)Epilepsia (1 paper)Software Practice and Experience (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
David Ko
39 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 120
- Neurology 198
- Nephrology 121
- Information Systems 387
- Computer Networks and Communications 313
- Psychiatry and Mental health 165
Countries citing papers authored by David Ko
This map shows the geographic impact of David Ko'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 David Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ko more than expected).
Fields of papers citing papers by David Ko
This network shows the impact of papers produced by David Ko. 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 David Ko. The network helps show where David Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside David Ko, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 243 | |
| 2 | Web-scale Data Integration: You can only afford to Pay As You Go | 2007 | 240 |
| 3 | 2007 | 179 | |
| 4 | 1996 | 138 | |
| 5 | 2004 | 111 | |
| 6 | 2009 | 76 | |
| 7 | 1997 | 74 | |
| 8 | 2014 | 73 | |
| 9 | 2000 | 70 | |
| 10 | 1998 | 46 | |
| 11 | 1999 | 40 | |
| 12 | 1995 | 39 | |
| 13 | 2010 | 37 | |
| 14 | 1986 | 36 | |
| 15 | Structured Data Meets the Web: A Few Observations | 2006 | 34 |
| 16 | 2016 | 34 | |
| 17 | 2015 | 31 | |
| 18 | 1980 | 31 | |
| 19 | 1986 | 27 | |
| 20 | 2006 | 25 |
About David Ko
David Ko is a scholar working on Computer Networks and Communications, Surgery, Cellular and Molecular Neuroscience, Psychiatry and Mental health and Mechanical Engineering, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Epilepsy research and treatment (6 papers), Modular Robots and Swarm Intelligence (5 papers), Mobile Agent-Based Network Management (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Pharmacological Effects and Toxicity Studies (4 papers), Optimization and Search Problems (3 papers), Data Quality and Management (3 papers) and Web Data Mining and Analysis (3 papers). The work is most often cited by research in Neurology (198 citations), Nephrology (121 citations), Information Systems (387 citations), Computer Networks and Communications (313 citations) and Psychiatry and Mental health (165 citations). David Ko has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Alon Halevy, Jayant Madhavan, Alex Rasmussen, Łucja Kot, Shawn R. Jeffery, Shirley Cohen, Cong Yu, Dong Xin, Susumu Satô and K. Lederis. Their work appears in journals such as Neurosurgery, Journal of Neuroimmunology, The American Journal of Surgery, Epilepsia and Software Practice and Experience.
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.