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 4
- Surgery 6
- Co-authors
- Jayant Madhavan (3 shared papers)Alon Halevy (3 shared papers)Alex Rasmussen (1 shared paper)Łucja Kot (1 shared paper)Shirley Cohen (2 shared papers)Shawn R. Jeffery (2 shared papers)Cong Yu (2 shared papers)Dong Xin (1 shared paper)
- Journals
- Journal of Neuroimmunology (2 papers)The American Journal of Surgery (2 papers)Neurosurgery (2 papers)Epilepsy & Behavior (1 paper)Journal of Neuroinflammation (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
David Ko
37 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 116
- Neurology 187
- Nephrology 118
- Information Systems 324
- Psychiatry and Mental health 158
- Computer Networks and Communications 244
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 203 | |
| 2 | Web-scale Data Integration: You can only afford to Pay As You Go | 2007 | 199 |
| 3 | 2007 | 171 | |
| 4 | 1996 | 128 | |
| 5 | 2004 | 111 | |
| 6 | 2014 | 71 | |
| 7 | 2009 | 70 | |
| 8 | 2000 | 68 | |
| 9 | 1997 | 67 | |
| 10 | 1998 | 45 | |
| 11 | 1999 | 39 | |
| 12 | 2010 | 35 | |
| 13 | 1995 | 31 | |
| 14 | 2016 | 31 | |
| 15 | 1986 | 31 | |
| 16 | 2015 | 29 | |
| 17 | 1980 | 28 | |
| 18 | Structured Data Meets the Web: A Few Observations | 2006 | 25 |
| 19 | 2006 | 24 | |
| 20 | 1986 | 23 |
About David Ko
David Ko is a scholar working on Computer Networks and Communications, Surgery, Cellular and Molecular Neuroscience, Psychiatry and Mental health and Pediatrics, Perinatology and Child Health, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Epilepsy research and treatment (6 papers), Modular Robots and Swarm Intelligence (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Mobile Agent-Based Network Management (4 papers), Pharmacological Effects and Toxicity Studies (4 papers), Data Quality and Management (3 papers), Web Data Mining and Analysis (3 papers) and Multiple Sclerosis Research Studies (3 papers). The work is most often cited by research in Neurology (187 citations), Nephrology (118 citations), Information Systems (324 citations), Psychiatry and Mental health (158 citations) and Computer Networks and Communications (244 citations). David Ko has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Jayant Madhavan, Alon Halevy, Alex Rasmussen, Łucja Kot, Shirley Cohen, Shawn R. Jeffery, Cong Yu, Dong Xin, Susumu Satô and Leslie P. Weiner. Their work appears in journals such as Journal of Neuroimmunology, The American Journal of Surgery, Neurosurgery, Epilepsy & Behavior and Journal of Neuroinflammation.
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.